ML Engineer Jobs in Pune.

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Senior Data Scientist

Securly · Pune City, Maharashtra, India

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Engineering / R&D Pune, India Posted May 6, 2026

The Role

Lead the maturation of Securly's content classification system — building the ML infrastructure that determines, at scale, whether web content is appropriate for K-12 students, and establishing the rigorous evaluation framework that product and leadership teams depend on.

This is applied ML with direct student safety impact — not research. You will lead a significant uplift of Securly's classification models: refactoring binary models to proper multiclass classification, building labeled evaluation datasets, and producing standardized model cards with per-category precision, recall, F1, and confusion matrix analysis.

At L5, you are the technical leader of the data science function for content safety. You will define the evaluation methodology the team follows, set the standard for what a model card must contain before a model ships, mentor the team on applied ML rigor, and serve as the interface between data science and engineering on production integration constraints.

Level: L5

Experience: 8–15 Years

Location: Pune, India

Work Type: Hybrid (2 days onsite)

Reports To: Engineering Manager, Data Platform

What It Means to Be L5 at Securly

L5 at Securly is a Staff Engineer. You are the technical owner, not just an implementer.

Drive technical direction for your initiative end-to-end: from architecture to production, with minimal oversight from your engineering manager.
Identify and resolve ambiguity in requirements, system boundaries, and design tradeoffs without waiting for a fully-formed spec.
Mentor L3/L4 engineers on the team: code reviews, design feedback, pairing, and raising the bar for what production-quality work looks like.
Partner with your L6 technical lead and the Distinguished Engineer on architectural decisions, surfacing tradeoffs clearly rather than deferring them upward.
Contribute to cross-team engineering standards: you are expected to influence practices beyond your immediate squad.
Translate technical context into clear written artifacts that non-engineers (PM, Support, Leadership) can act on.
Participate in on-call rotation and own the full incident lifecycle for your system: detection, diagnosis, resolution, and retrospective.

What You'll Do

Define the evaluation methodology for content classification at Securly: establish what a model card must contain and hold every model release to that standard before it ships.
Lead the multiclass refactor of Securly's content classification models: redesign binary models to handle multi-label, multi-class content categories (Adult Content, Violence, Self-Harm, Social Media, and others).
Build and maintain labeled evaluation datasets with robust annotation workflows; address class imbalance and label noise systematically; document dataset curation decisions in a versioned data card.
Connect offline evaluation to production monitoring — surface classification drift and error patterns before they become customer-facing issues.
Investigate and resolve misclassification errors: false positives (over-blocking) and false negatives (under-blocking); produce written root cause analyses.
Build and maintain training data pipelines: ingestion, cleaning, labeling, and versioning at scale.
Mentor the existing AI team on evaluation methodology, model development practices, and data science communication rigor.
Communicate precision/recall tradeoffs to product managers and engineers; produce executive-level summaries of classification quality for leadership.
Collaborate with engineering to integrate model outputs into the production filtering stack with appropriate latency and reliability constraints.
Research and prototype improvements: feature representations, model architectures, active learning for label efficiency, domain adaptation for emerging content categories.

Skills & Requirements

Must-Have

Machine learning — multi-label/multi-class classification, model evaluation methodology, handling class imbalance, feature engineering for text and URL data. 5+ years in applied ML roles.
Python (ML stack) — production-quality code: scikit-learn, PyTorch or TensorFlow, pandas, numpy. Notebooks for exploration; production-grade pipelines for delivery.
Text / NLP feature engineering — URL tokenization, domain analysis, HTML content features, TF-IDF or embedding-based representations for web content classification.
ML evaluation rigor — precision/recall tradeoffs, confusion matrix analysis, offline vs. online evaluation, A/B testing, reproducible model cards. At L5, you define the evaluation standard.
Data engineering for ML — training data pipelines, data versioning, handling noisy and partially labeled datasets, annotation workflow design.
Technical communication and stakeholder influence — ability to present quantitative model quality findings to both engineering and non-technical leadership.

Strongly Preferred

Large-scale classification in production — shipping models with latency and throughput constraints; understanding the gap between offline eval metrics and live production behavior.
Active learning / annotation workflows — strategies for efficient label acquisition on large, imbalanced datasets.
Cloud ML infrastructure — AWS SageMaker, GCP Vertex AI, or equivalent for training pipelines, experiment tracking, and model deployment.

Nice to Have

Web content / URL classification domain — prior work on web categorization, safe browsing, or content policy systems.
K-12 / CIPA compliance — understanding of regulated content categories and compliance requirements around false negative rates.
LLM-based classification — zero-shot or few-shot content classification for emerging categories without labeled training data.
Graph / network features — domain co-occurrence, DNS graph signals, or network-based features for domain classification at scale.

Who You Are

You have shipped ML models to production and lived with the consequences — you know what model drift looks like and how to catch it before it becomes a customer issue.
You treat evaluation as a first-class engineering artifact. A model without a model card is not finished — and you set and enforce that standard for the team.
You define the methodology, not just apply it. You produce the evaluation framework that other data scientists use, and you hold them to it.
You can communicate precision/recall tradeoffs to a product manager and to a senior engineer in the same conversation, calibrated to each audience.
You are energized by problems with real stakes: a false negative in Self-Harm classification is not an acceptable error rate.
You mentor by example and by expectation: your code, your analysis, and your documentation set the standard.

About Securly

Securly processes over 1.1 billion requests per day and 54 TB of data daily, protecting more than 20 million students across 20,000+ schools globally. Since pioneering the first cloud-based web filter for K-12 in 2013, Securly has built one of the most trusted, high-scale platforms for student safety, wellness, and engagement. By turning data into meaningful, actionable intelligence, Securly enables schools to identify risk earlier, reduce harmful incidents, and strengthen student support.

We are proud to be consistently recognized as a Top Place to Work, named a Top 40 Most Used EdTech platform, and included on the GSV 150 list as one of the most transformational growth companies in digital learning and workforce skills.

Benefits

Comprehensive Health Insurance (employee, parents, spouse, children)
Accidental & Term Life Insurance
Learning & Development reimbursement
Paid Time Off
Public Holidays (10+ per year)
Retirement Benefits (EPF & gratuity)
Parental Leave (as per statutory norms)

Equal Opportunity Employer
Securly is an Equal Opportunity Employer committed to inclusion, fairness, and respect. We welcome applicants from all backgrounds, identities, and experiences. #LI-REMOTE #LI-DO1

Ready to apply?

Apply to Securly

Securly

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Senior Data Scientist

Securly · Pune City, Maharashtra, India

Apply now

Engineering / R&D Pune, India Posted May 6, 2026

The Role

The Senior Data Scientist will lead the maturation of Securly's content classification system — building the ML infrastructure that determines, at scale, whether web content is appropriate for K-12 students, and establishing the rigorous evaluation framework that product and leadership teams depend on.

This is applied ML with direct student safety impact — not research. You will lead a significant uplift of Securly's classification models: refactoring binary models to proper multiclass classification, building labeled evaluation datasets, and producing standardized model cards with per-category precision, recall, F1, and confusion matrix analysis.

At L5, you are the technical leader of the data science function for content safety. You will define the evaluation methodology the team follows, set the standard for what a model card must contain before a model ships, mentor the team on applied ML rigor, and serve as the interface between data science and engineering on production integration constraints.

Level: L5

Experience: 8–15 Years

Location: Pune, India

Work Type: Hybrid (2 days onsite)

Reports To: Engineering Manager, Data Platform

What It Means to Be L5 at Securly

L5 at Securly is a Staff Engineer. You are the technical owner, not just an implementer.

Drive technical direction for your initiative end-to-end: from architecture to production, with minimal oversight from your engineering manager.
Identify and resolve ambiguity in requirements, system boundaries, and design tradeoffs without waiting for a fully-formed spec.
Mentor L3/L4 engineers on the team: code reviews, design feedback, pairing, and raising the bar for what production-quality work looks like.
Partner with your L6 technical lead and the Distinguished Engineer on architectural decisions, surfacing tradeoffs clearly rather than deferring them upward.
Contribute to cross-team engineering standards: you are expected to influence practices beyond your immediate squad.
Translate technical context into clear written artifacts that non-engineers (PM, Support, Leadership) can act on.
Participate in on-call rotation and own the full incident lifecycle for your system: detection, diagnosis, resolution, and retrospective.

What You'll Do

Define the evaluation methodology for content classification at Securly: establish what a model card must contain and hold every model release to that standard before it ships.
Lead the multiclass refactor of Securly's content classification models: redesign binary models to handle multi-label, multi-class content categories (Adult Content, Violence, Self-Harm, Social Media, and others).
Build and maintain labeled evaluation datasets with robust annotation workflows; address class imbalance and label noise systematically; document dataset curation decisions in a versioned data card.
Connect offline evaluation to production monitoring — surface classification drift and error patterns before they become customer-facing issues.
Investigate and resolve misclassification errors: false positives (over-blocking) and false negatives (under-blocking); produce written root cause analyses.
Build and maintain training data pipelines: ingestion, cleaning, labeling, and versioning at scale.
Mentor the existing AI team on evaluation methodology, model development practices, and data science communication rigor.
Communicate precision/recall tradeoffs to product managers and engineers; produce executive-level summaries of classification quality for leadership.
Collaborate with engineering to integrate model outputs into the production filtering stack with appropriate latency and reliability constraints.
Research and prototype improvements: feature representations, model architectures, active learning for label efficiency, domain adaptation for emerging content categories.

Skills & Requirements

Must-Have

Machine learning — multi-label/multi-class classification, model evaluation methodology, handling class imbalance, feature engineering for text and URL data. 5+ years in applied ML roles.
Python (ML stack) — production-quality code: scikit-learn, PyTorch or TensorFlow, pandas, numpy. Notebooks for exploration; production-grade pipelines for delivery.
Text / NLP feature engineering — URL tokenization, domain analysis, HTML content features, TF-IDF or embedding-based representations for web content classification.
ML evaluation rigor — precision/recall tradeoffs, confusion matrix analysis, offline vs. online evaluation, A/B testing, reproducible model cards. At L5, you define the evaluation standard.
Data engineering for ML — training data pipelines, data versioning, handling noisy and partially labeled datasets, annotation workflow design.
Technical communication and stakeholder influence — ability to present quantitative model quality findings to both engineering and non-technical leadership.

Strongly Preferred

Large-scale classification in production — shipping models with latency and throughput constraints; understanding the gap between offline eval metrics and live production behavior.
Active learning / annotation workflows — strategies for efficient label acquisition on large, imbalanced datasets.
Cloud ML infrastructure — AWS SageMaker, GCP Vertex AI, or equivalent for training pipelines, experiment tracking, and model deployment.

Nice to Have

Web content / URL classification domain — prior work on web categorization, safe browsing, or content policy systems.
K-12 / CIPA compliance — understanding of regulated content categories and compliance requirements around false negative rates.
LLM-based classification — zero-shot or few-shot content classification for emerging categories without labeled training data.
Graph / network features — domain co-occurrence, DNS graph signals, or network-based features for domain classification at scale.

Who You Are

You have shipped ML models to production and lived with the consequences — you know what model drift looks like and how to catch it before it becomes a customer issue.
You treat evaluation as a first-class engineering artifact. A model without a model card is not finished — and you set and enforce that standard for the team.
You define the methodology, not just apply it. You produce the evaluation framework that other data scientists use, and you hold them to it.
You can communicate precision/recall tradeoffs to a product manager and to a senior engineer in the same conversation, calibrated to each audience.
You are energized by problems with real stakes: a false negative in Self-Harm classification is not an acceptable error rate.
You mentor by example and by expectation: your code, your analysis, and your documentation set the standard.

About Securly

Securly processes over 1.1 billion requests per day and 54 TB of data daily, protecting more than 20 million students across 20,000+ schools globally. Since pioneering the first cloud-based web filter for K-12 in 2013, Securly has built one of the most trusted, high-scale platforms for student safety, wellness, and engagement. By turning data into meaningful, actionable intelligence, Securly enables schools to identify risk earlier, reduce harmful incidents, and strengthen student support.

We are proud to be consistently recognized as a Top Place to Work, named a Top 40 Most Used EdTech platform, and included on the GSV 150 list as one of the most transformational growth companies in digital learning and workforce skills.

Benefits

Comprehensive Health Insurance (employee, parents, spouse, children)
Accidental & Term Life Insurance
Learning & Development reimbursement
Paid Time Off
Public Holidays (10+ per year)
Retirement Benefits (EPF & gratuity)
Parental Leave (as per statutory norms)

Equal Opportunity Employer
Securly is an Equal Opportunity Employer committed to inclusion, fairness, and respect. We welcome applicants from all backgrounds, identities, and experiences. #LI-REMOTE #LI-DO1

Ready to apply?

Apply to Securly

Securly

View all jobs →

GU

Senior Platform Engineer

Guidepoint · Pune, Maharashtra, India

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DevOps Pune Posted May 6, 2026

Overview:

We are seeking a highly experienced Platform Engineer to architect, build, and operate a next-generation AI-powered Internal Developer Platform (IDP) that enables rapid, secure, and scalable software delivery across the enterprise.

This role will manage a critical Kubernetes platform and drive automation through Terraform, ArgoCD, and Azure DevOps. While your foundation is rooted in SRE and DevOps excellence, you will also lead our efforts to integrate Agentic AI into the platform, building intelligent workflows that automate environment provisioning, incident triage, and self-service capabilities to eliminate operational friction.

You will operate at the intersection of Platform Engineering, Cloud Infrastructure, AI automation, and Developer Experience, building systems that empower engineering teams to move faster with higher reliability and lower operational overhead.

Tech Stack Mandate

Category	Requirements
Cloud & K8s	Microsoft Azure (Primary), Kubernetes (AKS)
Automation	Terraform, Argo CD, Helm
CI/CD	Azure DevOps Pipelines, Argo CD, Github actions
AI/ML	LLM APIs (OpenAI/Azure AI), Agent Frameworks, Vector DBs
Languages	Python (Advanced), Bash/Shell scripting, Go

What You’ll Do:

Platform Architecture: Design, Develop and evolve a self-service Internal Developer Platform (leveraging Backstage or similar) to abstract cloud complexity for engineering teams.
Infrastructure as Code (IaC): Lead the development of modular, enterprise-grade Terraform libraries to manage multi-region Azure and AWS environments.
Kubernetes Orchestration: Operate and manage large-scale Kubernetes clusters, focusing on networking, security hardening, and workload autoscaling.
Continuous Delivery: Own the CI/CD lifecycle by building robust Azure DevOps Pipelines and implementing GitOps patterns using Argo CD.
AI-Enhanced Automation: Develop Python-based automation and AI agents to assist in infrastructure scaffolding, policy enforcement, CI/CD actions and proactive cost optimization.
SRE & Reliability: Partner with dev teams to define SLIs/SLOs and integrate observability (Datadog/Prometheus) to create self-healing infrastructure loops.
Developer Advocacy: Continuously improve Developer Experience (DevEx) by reducing cognitive load and providing automated onboarding and documentation for new services.

Required Technical Qualifications:

7+ years in Platform Engineering, DevOps, or Site Reliability Engineering.
Expert-level Terraform: Experience managing complex state, custom providers, and enterprise-grade modules.
K8s Specialist: Deep understanding of CNI, CSI, Ingress Controllers, and Service Mesh.
Python Mastery: Ability to write production-grade Python for building CLI tools, automation scripts, and AI agent logic.
Agentic AI Experience: Proven experience moving beyond simple prompts to building autonomous agents that use tools/APIs to perform tasks day to day platform engineering tasks
Production GitOps: Hands-on experience scaling Argo CD across hundreds of microservices.

Preferred Qualifications:

Experience with Azure OpenAI Service and building RAG (Retrieval Augmented Generation) systems f
Knowledge of Policy-as-Code (OPA/Gatekeeper or Kyverno) integrated into CI/CD.
Background in FinOps, specifically using AI to drive automated cloud cost reduction.

Competencies:

Zero-Touch Provisioning: A developer can go from "Idea" to "Production-Ready URL" in minutes via an AI-guided workflow.
Autonomous SRE: AI agents proactively identify and fix 30% of common infrastructure drift or pod failures before a human is paged.
Immutable Infrastructure: 100% of production changes are driven via Terraform and Argo CD—no manual "click-ops."

What We Offer:

Competitive compensation
Employee medical coverage
Central office location
Entrepreneurial environment, autonomy, and fast decisions
Casual work environment

About Guidepoint:

Guidepoint is a leading research enablement platform designed to advance understanding and empower our clients’ decision-making process. Powered by innovative technology, real-time data, and hard-to-source expertise, we help our clients to turn answers into action.

Backed by a network of nearly 1.75 million experts and Guidepoint’s 1,600 employees worldwide, we inform leading organizations’ research by delivering on-demand intelligence and research on request. With Guidepoint, companies and investors can better navigate the abundance of information available today, making it both more useful and more powerful.

At Guidepoint, our success relies on the diversity of our employees, advisors, and client base, which allows us to create connections that offer a wealth of perspectives. We are committed to upholding policies that contribute to an equitable and welcoming environment for our community, regardless of background, identity, or experience.

#LI-AD2

#LI-HYBRID

Ready to apply?

Apply to Guidepoint

GU

Guidepoint

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Senior Software Engineer

NICE · India - Pune

Apply now

CX INTL - Mpower Workforce Augmentation & Platform Engineering India - Mumbai Posted May 6, 2026

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.

About the Role

NICE is seeking a talented AI Engineer to accelerate innovation across the APAC region by leading AI-centric Proof of Concepts (POCs) and Pilots alongside our extended solution and sales engineering teams. This role sits at the intersection of cutting-edge AI development and customer-facing technical delivery, with a special focus on Agentic AI solutions that push the boundaries of what is possible with intelligent automation and large language models.

The AI Engineer will work hands-on to design, build, and demonstrate AI-powered solutions, translating complex technical capabilities into tangible business value for customers across APAC.

How will you make an impact?

Agentic AI POCs & Pilots

Design and build Agentic AI proofs of concept

Architect and develop end-to-end Agentic AI solutions demonstrating autonomous decision-making, multi-step reasoning, and task orchestration across APAC customer engagements.

Prototype rapidly

Build lightweight, demonstrable prototypes using LLMs, agent frameworks, and NICE /Cognigy platform APIs to showcase the art of the possible.

Development & Engineering

Develop and integrate APIs, webhooks, and microservices connecting LLMs and AI models to enterprise platforms and CX workflows.
Build and maintain reusable AI accelerator assets, code templates, and demo environments for the extended APAC team.
Implement prompt engineering strategies, RAG pipelines, and agent orchestration frameworks LLM & AI Model Expertise
Apply knowledge of large language models (GPT-4, Claude, Gemini, Llama, etc.) to design appropriate solutions for customer use cases.
Evaluate and select the right model, fine-tuning approach, or retrieval strategy for each POC based on accuracy, latency, and cost requirements.
Stay current with the rapidly evolving LLM ecosystem including model releases, agent frameworks, and emerging AI tooling.

Collaboration & Knowledge Sharing

Contribute to internal playbooks, documentation, and demo libraries to uplift the broader team’s AI capabilities.
Engage with customers directly to understand requirements and translate them into practical AI solution designs.

Have you got what it takes?

Bachelor’s degree in computer science, Software Engineering, or a related field or equivalent experience.
4-8 years of software development experience in developing high performance, highly available and scalable enterprise-grade software products that can perform, scale, and integrate into a broad enterprise ecosystem.

Programming proficiency:

.

Experience with REST APIs, JSON, cloud SDKs
Familiarity with data processing, vector databases and embedding pipelines for RAG architecture.
Ability to debug, iterate quickly, and deliver working demos under tight timelines.

AI & Machine Learning Understanding

Solid conceptual and practical understanding of machine learning fundamentals, NLP/NLU, and generative AI.
Experience designing or building Agentic AI systems — including tool use, memory, planning, and multi-agent coordination.
Understanding of responsible AI practices, hallucination mitigation, and evaluation methodologies for LLM outputs.

LLM Usage & Prompt Engineering

Proficient with LLM APIs including OpenAI, Anthropic Claude, Google Gemini, Azure OpenAI, and open-source models via Hugging Face or Ollama.
Strong prompt engineering skills: few-shot prompting, chain-of-thought, structured outputs, and system prompt design.

Version Control & Collaboration Tools

GitHub / Git proficiency:

Comfortable with branching strategies, pull requests, code reviews, and collaborative development workflows.

Ability to manage, share, and version AI demo assets and code in shared repositories accessible to the extended team.
Experience with CI/CD basics and familiarity with tools such as GitHub Actions, or similar pipelines, is advantageous.

.

You will have an advantage if you also have:

Experience with NICE CXone, Cognigy (conversational AI & agent orchestration platform), or similar CCaaS / conversational AI platforms.
Knowledge of the APAC technology landscape and experience working with enterprise customers in the region.
Background in contact centre, CX, or enterprise SaaS environments.
Exposure to voice AI, speech-to-text/text-to-speech pipelines, or real-time AI in contact Centre contexts.

What’s in it for You?

Join an ever-growing, market-disrupting, global company where teams — comprised of the best of the best — work in a fast-paced, collaborative, and creative environment. As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate about AI, innovative at heart, and excited to constantly raise the bar on what intelligent technology can do, you may just be our next NICEr!

Enjoy NICE-FLEX!

At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 10692

Reporting into: Director,Solution Engineering

About NiCE

NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.

Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.

NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

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NICE

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Solution Architect – (AI Infrastructure & Hybrid Cloud)

Gruve · Pune, Maharashtra, India

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Professional Services, Cybersecurity India Posted May 6, 2026

About Gruve

Gruve is an innovative software services startup dedicated to transforming enterprises to AI powerhouses. We specialize in cybersecurity, customer experience, cloud infrastructure, and advanced technologies such as Large Language Models (LLMs). Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.

Position Summary:

We are seeking a Solution Architect – (AI Infrastructure & Hybrid Cloud) to lead the strategic design, architecture, and deployment of large-scale, enterprise-grade Red Hat OpenShift and Kubernetes environments. As a technical authority at the L4 level, you will be responsible for defining the blueprint of our cloud-native infrastructure, ensuring it is secure, scalable, and highly automated.
The ideal candidate acts as the bridge between traditional infrastructure and modern DevOps, serving as the lead design authority for global clients. You will collaborate with Network and Firewall Architects to build a unified fabric where containerized workloads, legacy data centers, and hybrid cloud environments coexist seamlessly through advanced automation and Infrastructure-as-Code (IaC).

Key Responsibilities:

Architect and Design Enterprise OpenShift Solutions: Lead the high-level design (HLD) and low-level design (LLD) for multi-tenant Red Hat OpenShift and Kubernetes clusters across on-prem and hybrid cloud environments.
Define the technology stack, standards, and blueprints for deploying AI solutions across global, multi-region public clouds (AWS/Azure/GCP) and diverse on-premise hardware.
Oversee the successful end-to-end rollout of critical services including AI SOC, OpenShift AI, and AI-based Cybersecurity Log Optimization.
Drive Network DevOps Strategy: Define and standardize the automation roadmap using Ansible, Terraform, and Python to achieve "Zero-Touch" infrastructure provisioning and configuration.
Lead Customer & Stakeholder Engagement: Act as the primary technical consultant for global clients, leading design workshops, architecture validation, and executive-level technical reviews.
Integrate Advanced AI apps, Networking & Security: Collaborate with Pre-sales, AI application developers & Engineers, Firewall Architects to design secure AI agents & use cases, container networking (CNI) models, implementing Zero-Trust security, service mesh (Istio), and micro-segmentation within OpenShift environment.
Optimize Hybrid Infrastructure: Oversee the seamless integration of OpenShift with physical networking (Cisco ACI, VXLAN) and virtualized platforms (RHEL-V, VMware ESXi).
GPU & Hardware Orchestration: Design and manage hardware acceleration using the NVIDIA GPU Operator and Node Feature Discovery (NFD). Implement Multi-Instance GPU (MIG) and time-slicing to optimize resource utilization across multi-tenant clusters.
Establish CI/CD Governance: Architect robust CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions) for infrastructure and application delivery, ensuring compliance and security are baked into the workflow.
Lead Observability & Reliability: Design comprehensive monitoring and logging architectures using Prometheus, Grafana, and ELK stack to ensure 99.99% availability of cluster services.
Mentorship & Technical Leadership: Guide and mentor L2/L3 engineers, providing expert-level escalation support and establishing best practices for the DevOps and Network teams.
Innovation & R&D: Evaluate and introduce emerging technologies such as Advanced Cluster Management (ACM), Advanced Cluster Security (ACS), and Cloud-Native Networking (OVN-Kubernetes).

Basic Qualifications:

Bachelor’s or master’s degree in computer science, Engineering, or a related field
10+ years of progressive experience in systems architecture, infrastructure engineering, or network DevOps.
Expert/Architect-level proficiency in OpenShift (RHOS), and Kubernetes architecture in large-scale production environments.
Experience architecting hybrid-cloud OpenShift solutions involving AWS (ROSA), Azure (ARO), or Google Cloud.
Proven track record in Automation & IaC: Mastery of Ansible, Terraform, and Git-based workflows to manage complex infrastructures.
Deep understanding of Linux (RHEL) Internals: Mastery of kernel networking, storage drivers (CSI), and container runtimes (CRI-O).
Strong Network Background: In-depth knowledge of BGP, VXLAN, and EVPN as they apply to connecting containerized workloads to physical data center fabrics.
Experience in "Architecture as Code": Ability to develop and maintain compliance artifacts, design validation reports, and automated documentation.
Excellent Leadership Skills: Demonstrated ability to manage high-stakes customer relationships and lead cross-functional technical teams

Preferred Qualifications:

Certifications: Red Hat Certified Architect (RHCA), Red Hat Certified Specialist in OpenShift (Administration/Development), or CKA/CKS (Certified Kubernetes Administrator/Security), AWS/GCP Certified DevOps Engineer, AWS Certified SysOps Administrator, HashiCorp Certified: Terraform Associate
Red Hat Certified OpenShift Administrator, AWS Certified AI Practitioner, Certified Information Systems Security Professional (CISSP), Certified Cloud Security Professional (CCSP)
Security Focus: Exposure to DevSecOps tools (e.g., Quay, StackRox) and zero-trust framework implementation
Legacy Integration: Familiarity with Cisco ACI, Arista CloudVision, or Juniper Apstra for end-to-end automation integration
Red Hat OpenShift AI (ROAI) expertise will be preferred
Familiarity with LLM deployment requirements and vector database infrastructure
Background in Cybersecurity infrastructure (SIEM, SOAR, SOC & VAPT platforms)
Experience with MLOps infrastructure (Kubeflow, MLflow) and high-speed telemetry pipelines

Why Gruve

At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you.

Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.

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Gruve

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Network Architect & Operations Lead

Gruve · Pune, Maharashtra, India

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Platforms Engineering Pune Posted May 6, 2026

About Gruve

Gruve is an innovative software services startup dedicated to transforming enterprises to AI powerhouses. We specialize in cybersecurity, customer experience, cloud infrastructure, and advanced technologies such as Large Language Models (LLMs). Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.

Position Summary:

We are looking for a highly experienced Network Architect & Operations Lead to drive the design, operation, and optimization of large-scale, AI inferencing data center environments. The ideal candidate will have a strong background in architecting and running complex distributed infrastructures supporting GPU-as-a-Service (GPUaaS) workloads, high-throughput AI inferencing traffic, GPU cluster networking, and globally distributed network topologies.

This role is central to ensuring the uptime, reliability, and scalability of our inferencing data centers. This role requires a senior professional with CCIE-level expertise (or equivalent capability) who can combine architecture, operations, team leadership, and automation skills to ensure network reliability, scalability, and operational excellence across a 24/7 GPU inferencing environment. The ideal candidate will lead and mentor a tiered team of L1, L2, and L3 network engineers, owning end-to-end network operations and SLA commitments for our AI inferencing data centers. Experience in high-scale environments such as Lambda Labs, Nvidia, Equinix, AWS, Azure, Google Cloud, or similar large AI infrastructure or hyperscale organizations is highly preferred.

Key Responsibilities:

Operate large-scale AI inferencing data center network environments across multiple sites.
Lead and manage a tiered NOC team (L1, L2, L3), driving operational discipline, escalation processes, and continuous uptime of inferencing infrastructure.
Own uptime and SLA commitments for GPU inferencing data centres, ensuring high availability and rapid incident response.
Design and maintain scalable network topologies supporting high-throughput GPU cluster traffic, east-west data flows, API traffic, VPN connectivity, and GPUaaS tenant workloads.
Lead technical design decisions for leaf-spine data center architectures using Arista switching platforms.
Configure, manage, and troubleshoot advanced routing protocols with a strong focus on BGP, EVPN, VXLAN, and large-scale traffic engineering.
Manage and optimize Cisco firewall platforms (Firepower/FTD) to ensure secure and efficient traffic flows across tenant and infrastructure networks.
Support GPU cluster networking including high-bandwidth, low-latency east-west traffic between GPU nodes, with familiarity in RDMA over Converged Ethernet (RoCE) or similar low-latency fabrics.
Drive operational excellence through structured NOC methodologies, runbook standardization, incident management, and continuous optimization.
Improve network efficiency through automation, tooling, and operational workflows.
Perform deep troubleshooting and debugging of complex network and performance issues across Arista, Cisco, and Dell infrastructure.
Lead network capacity planning, upgrades, and infrastructure scaling initiatives in line with GPU compute growth.
Collaborate with cross-functional engineering teams (compute, storage, platform, security) to support business growth and ensure high availability.
Document architecture standards, operational procedures, runbooks, and best practices.

Basic Qualifications:

10+ years of hands-on experience in network architecture or network operations within large-scale enterprise, cloud, or AI/HPC data center environments.
Strong expertise in advanced routing & switching technologies, including BGP, OSPF, EVPN, and VXLAN.
Deep operational understanding of multi-site, high-scale data center network infrastructure.
Hands-on experience with Arista EOS and Arista switching platforms in a data center environment.
Proven experience managing complex network topologies and distributed environments.
Experience leading and managing NOC teams (L1/L2/L3), including escalation frameworks, shift management, and SLA ownership.
Familiarity with high-performance compute (HPC) or GPU cluster networking and associated traffic patterns.
Strong troubleshooting, debugging, and analytical skills across multi-vendor environments.
Practical experience with network automation and operational optimization.

Preferred Qualifications:

CCIE certification (or equivalent real-world expertise).
Arista ACE (Arista Certified Engineer) certification or equivalent hands-on Arista expertise.
Experience with GPU-as-a-Service (GPUaaS), AI/ML inferencing platforms, or hyperscale compute environments.
Hands-on experience with Cisco Firepower / FTD firewall platforms and enterprise security frameworks.
Experience with Dell PowerEdge or similar GPU server environments and their network integration.
Familiarity with RDMA over Converged Ethernet (RoCE), InfiniBand, or other low-latency GPU interconnect fabrics.
Experience with Arista and Cisco routing and switching platforms.Leaf-spine data center fabric design for AI/ML compute clusters.
Experience with BGP EVPN and VXLAN overlay architectures. Network automation frameworks and scripting (Python, Ansible, Terraform)
Experience with Tenant network isolation, VLANs, and multi-tenancy in GPUaaS environments.
Additional certifications such as CCNP, Arista ACE-L, or equivalent advanced networking certifications.

Why Gruve

At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you.

Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.

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Application Architect

Orion Innovation Naukri · Chennai, Tamil Nadu; Mumbai, Maharashtra, India; Pune, Maharashtra, India

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COI India Posted May 5, 2026

Role Overview:

We are looking for a hands-on Product Architect / Engineer to design and build an AI-driven operations platform focused on intelligent automation, insights, and optimization across cloud, network, and application operations.This role blends product thinking, architecture, and deep engineering across AI/ML and Agentic AI systems.

Key Responsibilities:

Architect and build the agentic AI platform leveraging AI, ML, and Agentic AI frameworks
Design multi-agent systems for use cases for operations domains like Cloud Ops, NetworkOps, ServiceDesk, root cause analysis, anomaly detection, and predictive insights
Develop data pipelines and telemetry fabric for ingesting and processing large-scale operational data (logs, metrics, traces, topology)
Build and integrate LLM-powered copilots and autonomous agents for operations
Define product architecture, including microservices, APIs, event-driven systems, and scalable cloud-native patterns
Translate business needs into AI-driven product features and accelerators
Collaborate with product, operations, and engineering teams to deliver end-to-end capabilities

Key Skills:

Strong experience in product architecture and full-stack engineering
Hands-on expertise in:
AI/ML (model development, inference, MLOps)
LLMs and Agentic AI frameworks (multi-agent orchestration, reasoning systems)
Data engineering (streaming, batch, real-time analytics)
Proficiency in Python and modern frameworks
Experience with cloud platforms (AWS, Azure) and cloud-native architecture
Agent framework experience – Microsoft agent framework, langgraph and langchain.
Strong understanding of:
Observability systems (logs, metrics, traces)
AIOps / IT operations platforms
API design and microservices architecture
Familiarity with vector databases, embeddings, RAG architectures, and knowledge graphs

Good to Have:

Experience building autonomous AI agents for IT/network/application operations
Exposure to FinOps, Cloud Cost Optimization,
Knowledge of network topology, infrastructure ops, or ITSM tools
Experience with real-time decisioning systems and event correlation engines

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TU

Strategic Project Lead

Turing · Bengaluru, Karnataka, India; Chennai, Tamil Nadu, India; Hyderabad, Telangana, India; Mumbai, Maharashtra, India; Pune, Maharashtra, India

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Production Engineering - Frontier AI Labs Bengaluru - Remote Posted May 1, 2026

About Turing

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage.

Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com

Strategic Project Lead / Delivery Manager

Data Annotation & AI Delivery

8+ Years of Experience

Position Overview

We are looking for a seasoned Delivery Manager (8+ years of experience) to lead large-scale data annotation and curation projects in support of cutting-edge LLM and multimodal AI research. You will oversee end-to-end delivery for projects with 100+ team members, ensure world-class data quality, and drive process and tooling innovation in collaboration with AI researchers and cross-functional teams.

This role is ideal for someone who combines deep technical expertise, proven leadership in managing large teams, and a passion for advancing AI/ML innovation. Given that our key customers operate in the data analytics, data engineering, and Business Intelligence (BI) space, the ideal candidate will bring hands-on leadership experience with platforms such as Databricks and Snowflake, enabling them to deeply understand customer domains, speak their language, and deliver annotation outcomes that are contextually relevant and technically sound.

Primary Responsibilities

Team Leadership & Development

Lead, mentor, and grow large-scale teams of annotators and trainers.
Drive performance management, career development, and targeted training.
Foster a culture of excellence, ownership, and continuous learning.
Design and implement motivation strategies (including gamification) to boost engagement and reward top performers.

Project Management & Coordination

Define and manage project scope, objectives, timelines, and quality metrics.
Align with cross-functional stakeholders on goals and deliverables.
Proactively identify and resolve delivery risks, blockers, and dependencies.
Provide clear and consistent reporting on progress, challenges, and solutions.

Data Quality & Integrity

Own quality control and data integrity across the annotation lifecycle.
Analyze datasets to identify trends, anomalies, and insights for improvement.
Implement best practices for annotation, evaluation, and data curation.
Share learnings and continuously improve quality processes.

Technical Collaboration & Innovation

Partner with engineering and research teams to optimize internal tooling.
Stay ahead of emerging trends in AI, ML, and multimodal processing.
Champion innovations that reduce task completion times and improve efficiency.
Maintain clear and scalable documentation for processes and training.

Customer & Domain Engagement

Serve as a domain-knowledgeable point of contact for customers operating in data engineering, analytics, and BI environments.
Leverage hands-on experience with platforms like Databricks and Snowflake to understand customer data workflows, terminology, and quality expectations.
Translate customer-specific data engineering and BI contexts into clear, actionable annotation guidelines and quality benchmarks for delivery teams.
Collaborate with customers to define annotation taxonomies and evaluation criteria that align with their data pipeline and analytics use cases.

Required Skills & Qualifications

10+ years of experience in engineering, program management, or delivery of large-scale projects.
Proven ability to lead and scale large teams (100+ members) with measurable impact.
Strong technical grounding in AI/ML, data annotation, and multimodal systems.
Hands-on leadership experience in data analytics, data engineering, or BI domains, with working knowledge of platforms such as Databricks and/or Snowflake (architecture, pipelines, data modeling, and production workflows).
Familiarity with the modern data stack including ETL/ELT pipelines, data warehouses, data lakes, and BI tools (Power BI, Tableau, Looker, or similar).
Ability to translate complex data engineering and analytics concepts into annotation frameworks, quality standards, and training materials.
Proficiency in Python (preferred) or Swift for data analysis and automation.
Strong mathematical and analytical skills for data-driven problem solving.
Experience in data curation, annotation pipelines, and quality control.
Excellent communication and stakeholder management skills.
Track record of driving high-quality outputs under tight deadlines.

Preferred Skills & Qualifications

Advanced degree in Computer Science, Data Science, AI, or related fields.
Experience applying gamification to workforce engagement.
Familiarity with modern project management tools & methodologies.
Exposure to state-of-the-art multimodal AI technologies.
Prior experience managing annotation or data labeling projects for customers in the data engineering, analytics, or BI space.
Familiarity with SQL at an advanced level and data orchestration tools such as Apache Airflow, dbt, or Prefect.
Certifications in Databricks (e.g., Data Engineer Associate) or Snowflake (e.g., SnowPro Core) are a plus.

Values

We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
We are Al forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.

Advantages of joining Turing

Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
Competitive compensation
Flexible working hours

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

For applicants from the European Union, please review Turing's GDPR notice here.

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TU

Principal AI Engineer - Frontier Data

Turing · Bengaluru, Karnataka, India; Chennai, Tamil Nadu, India; Hyderabad, Telangana, India; Mumbai, Maharashtra, India; Pune, Maharashtra, India

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Production Engineering - Frontier AI Labs Bengaluru - Remote Posted May 1, 2026

About Turing

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage.

Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com

The Role

We are looking for an elite engineer who builds like a hacker and communicates like a consultant. You will not just be building models in a notebook; you will be deployed to the front lines to build, architect, and ship end-to-end Agentic AI products directly for our most strategic customers.

This is a high-stakes role. You will face "tricky" customers who have vague requirements and high expectations. Your job is to translate their chaos into technical order, write production-grade code, and deploy autonomous agents that solve their actual business problems.

What You Will Do

Build & Deploy (60%):

Design and ship full-stack AI applications. You own the pipeline from data ingestion to the LLM inference layer to the frontend interface.

Architect autonomous agentic workflows (using frameworks like LangChain, LangGraph, or custom implementations) that can reason, plan, and execute complex tasks.

Write robust, clean, and highly testable code (Python/Typescript). "It works on my machine" is not acceptable; it must work in the customer's restricted cloud environment.

Handle DevOps and MLOps constraints: Dockerizing agents, managing Kubernetes clusters, and optimizing inference latency.

Customer Engineering (40%):

Serve as the technical face of the company for our most demanding accounts.

Navigate complex stakeholder environments. You will push back on unrealistic demands, clarify ambiguous requirements, and steer "tricky" customers toward technically feasible solutions without breaking rapport.

Translate technical constraints into business value for non-technical executives.

Generate high-quality data for our customers and ability to review the data generated by other experts. This is one of the most critical aspects of the role.

The "Must-Haves"

Experience: 8–12 years of total engineering experience. You started as a strong Software Engineer and evolved into an AI specialist.
Education: B.S./M.S. in Computer Science, Math, or Physics from a top-tier institution (IIT, MIT, Stanford, Harvard, Berkeley, CMU, or similar global top-ranking universities).
Deep AI Fluency: You aren't just calling APIs. You understand RAG implementation nuances, vector database optimization, fine-tuning (LoRA/PEFT), and the architecture of agentic loops.
Production Engineering: Experience with end-to-end deployment (AWS/GCP/Azure, CI/CD pipelines, Terraform, Docker).

The "Why You" (Soft Skills)

Thick Skin & High EQ: You don't get flustered when a customer changes their mind for the third time in a week. You can hold your ground with a CTO and explain "why not" to a CEO.
Extreme Attention to Detail: You catch the edge cases that others miss. You obsess over error handling, retry logic in agents, and data privacy.
Grit: You enjoy the "messy" work of integrating legacy enterprise data just as much as prompting the latest model.

What will set you apart

Public Code: A visible GitHub footprint is very helpful. We want to see your side projects, your contributions to open source, or your experiments with LLMs. Please include your GitHub link in your application.

Tech Stack

Languages: Python (Expert).
AI/Data (Expertise in all is not required): PyTorch, LangChain, LlamaIndex, Pinecone/Weaviate, OpenAI/Anthropic APIs, HuggingFace.
Infra (Expertise in all is not required): Kubernetes, Terraform, AWS/GCP.

Values

We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
We are Al forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.

Advantages of joining Turing

Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
Competitive compensation
Flexible working hours

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

For applicants from the European Union, please review Turing's GDPR notice here.

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Senior Software Engineer

GumGum · Pune, Maharashtra, India

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Engineering Pune, India Posted Apr 29, 2026

GumGum is The Mindset Company™ transforming advertising. We’re an advertising technology company delivering results by matching brands with people in the right mindset in the moments that matter. Our platform is powered by the Mindset Graph™, our AI-driven data engine that processes billions of real-time contextual, creative, environmental, and historical signals to match every ad with the most receptive audience. The result is advertising that drives meaningful outcomes for advertisers and publishers, and is more relevant for consumers.

We were founded in 2008 and are headquartered in Santa Monica, California, operating in over 19 markets across North America, Europe, Japan, and Australia.

Our principles guide our work every day and are as follows:

Customer-Obsessed: We’re focused on advertising solutions that solve needs and drive success for clients and partners.
Make it Happen: We have a bias for action and take ownership to deliver results.
Always Innovate: We push boundaries with creativity and technology.
Foster Belonging: We ensure colleagues feel included, supported, and empowered to thrive.

To be a part of The Mindset Company™ transforming advertising, please visit www.gumgum.com/careers.

Overview

The Ad Exchange development team at GumGum is responsible for the technical development and operations of our Ad Exchange technology. The Ad Exchange software handles a high volume of requests (40 million requests per minute) and is a highly distributed Java web service. Our team currently uses technologies such as Java, Spring, MySQL, Kafka, Aerospike, ScyllaDb, Memcached, and more.

This role works with product managers and various engineering teams to deliver on priorities for the company, making a significant impact on a key revenue stream for the business. You’ll be expected to take ownership of complex features, mentor engineers, and influence technical direction while collaborating with cross-functional partners across Product, Design, DevOps, Data Engineering and other teams.

Note: This position offers the opportunity for remote work or 'work from home' as there isn't a nearby office. However, GumGum is excited to only consider applicants residing in India.

What You'll Achieve

Design, build, and deliver highly scalable and low-latency services in Java using Spring and distributed data systems.
Architect solutions with a focus on performance, maintainability, and reliability.
Integrate with supply-side and demand-side partners and enhance core exchange workflows.
Work closely with ML and data teams to integrate optimization models into the exchange.
Mentor engineers within the India team, contributing to technical growth and best practices.
Write high-quality, testable, and well-structured code.
Troubleshoot and resolve production issues and contribute to improving system stability and latency.
Collaborate with Product and internal stakeholders to define and execute technical priorities.
Optimize infrastructure usage and improve the efficiency of the exchange.
Conduct detailed code reviews and contribute to maintaining high engineering standards.
Build a deep understanding of the Ad Tech ecosystem to help influence engineering direction.
Implement ad tech features, privacy frameworks, and external partner integrations.
Contribute to internal documentation and knowledge sharing across global engineering teams.

Skills You'll Bring

Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
6+ years of experience as an engineer with understanding of programming languages, preferably Java and Spring Framework
A history of successfully shipping products into production
Experience in taking ownership of end to end product implementation and providing stakeholder updates
Preferred experience in a high volume transaction system > 100k transactions/second
Experience in Ad Tech, CTV and Real-Time bidding is a plus
Excellent communication skills and demonstrated ability to work with cross-functional teams across timezones, including remote collaboration
Fast learner with excellent problem-solving skills in highly complex multi-threaded applications
Experience working with AWS and distributed systems such as Kafka, Aerospike or equivalent large scale data storage/processing systems
Experience with MySQL or similar RDBMS systems
Analytical thinking and understanding complex logic
An understanding of RTB (Real Time Bidding protocol)
Experience working with Git, Gradle, and CI/CD delivery pipelines

Awards

2025 & 2026 Digiday Media Awards Europe Best Contextual Targeting Offering
2025 AdExchanger Awards AI Innovators, Technology & Service Provider, Finalist
2025 MARKETECH APAC Marketing Technology Awards Silver Winner for Best Contextual Advertising Tech Platform
2025 Inc. B2B Power Partner
2025 ExchangeWire The Wires Global Best Client Services team winner (GumGum UK)
2025 and 2026 BuiltIn Best U.S. Midsize Companies to Work For

DEIB and EEO Statement

GumGum is proud to be an equal opportunity employer. We're committed to creating a workplace where people feel respected, supported, and able to do their best work. We believe different perspectives make us stronger and lead to better outcomes—for our teams, our partners, and our business. We strive to build an environment where individuals are treated fairly, opportunities are accessible, and everyone is held to a high standard of respect and accountability.

We're always learning and evolving as a company, and we continue to take thoughtful steps to support our people and strengthen our culture.

Follow Us on Social

Instagram: @gumgum
LinkedIn: https://www.linkedin.com/company/gumgum/
YouTube: @GumGumInc
TikTok: @itsgumgum

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Senior Software Engineer, Frontend – AI Platform

Addepar · Pune, India

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Alts & Data Management Pune, India Posted Apr 29, 2026

Who We Are

Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva and São Paulo.

The Role

We are currently seeking a Senior Frontend Software Engineer to join the AI Platform team, Addepar’s next-generation AI platform that enables seamless insights and interaction through natural language and data intelligence across our AI products.

As a Senior Frontend Engineer, you’ll design and scale the interactive surface of AI Platform products. You’ll work at the intersection of AI, design, and systems engineering, building a class of real-time AI experiences for users — where every frame, token, and scroll behavior matters.

You will collaborate closely with product design, backend, and AI/ML engineers to deliver smooth, trustworthy AI experiences that align with Addepar’s standards of performance, transparency, and reliability.

Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position.

What You’ll Do

Design and implement complex, real-time UI features for conversational interfaces — including chat streaming, incremental rendering, and dynamic layouts.
Build high-performance WebSocket pipelines to handle streamed deltas, retries, and backpressure gracefully.
Optimize scrolling and rendering performance using requestAnimationFrame, virtualization, intersection observers, and non-blocking state updates.
Implement fault-tolerant UI logic for reconnection, cancellation, offline recovery, and retry without user disruption.
Architect state management and caching strategies to maintain consistency between local UI and backend deltas.
Collaborate with designers to deliver accessible, responsive, and pixel-perfect interfaces across themes and viewport sizes.
Extend Addepar’s frontend developer experience—refine the build pipeline (Vite/Webpack), test automation (Playwright, Jest), and linting/formatting standards (ESLint, Prettier).
Instrument client-side telemetry and performance metrics to measure render latency, streaming lag, and user interaction speed.
Mentor teammates through design reviews and pair programming, contributing to shared components and cross-product standards.
Work closely with backend and AI/ML teams to co-design message formats, token streaming APIs, and session-level resiliency mechanisms.
Shape the technical direction of AI Platform’s frontend, contributing to shared libraries, caching strategies.

Technical Fundamentals & Practices -

We’re looking for engineers who demonstrate mastery across the following practices and system fundamentals that empower to ship high-quality, low-latency conversational experiences at scale:

Browser & Rendering Fundamentals :

- Deep understanding of the browser’s rendering pipeline—DOM, CSSOM, layout, paint, compositing.
- Ability to identify and fix layout thrashing, paint storms, and jank through Chrome DevTools performance profiling.
- Knowledge of animation scheduling via requestAnimationFrame, idle callbacks, and microtask queues.Familiarity with modern web APIs such as IntersectionObserver, ResizeObserver, MutationObserver, OffscreenCanvas, Web Workers, and BroadcastChannel for concurrent or cross-tab coordination.

Asynchronous & Streaming Systems:

- Strong command of Promises, async/await, generators, and cancellation (AbortController).
- Familiarity with streaming data protocols (e.g., WebSockets, SSE) and patterns like batching, throttling, and debounce under load.
- Understanding of backpressure and how to pace UI rendering vs. message ingress.

State & Data Synchronization:

- Experience designing immutable data flows with fine-grained updates (diffs, patches, deltas).
- Knowledge of caching, reconciliation, and hash-based change detection (e.g., djb2, CRC32, content hashing).
- Practices for ensuring consistency between transient client state and authoritative backend models.

UI Architecture & Composition:

- Familiarity with reactive component frameworks (Svelte preferred; React/Vue acceptable).
- Experience isolating side effects, using stores/signals, and maintaining predictable reactivity graphs.
- Ability to decompose large applications into feature modules with lazy loading, error boundaries, and shared design tokens.
- Ability to evaluate and integrate across frameworks (Svelte, React, Web Components) while maintaining consistent patterns in state, testing, and accessibility.

Performance & Profiling:

- Proven skill in measuring and optimizing UI latency (first paint, input delay, FPS stability).
- Comfort with Chrome Performance, Lighthouse, or custom performance markers.Experience building virtualized views (infinite scroll, chat lists, large tables).

Design Systems & Accessibility:

- Experience building and maintaining reusable design systems with Storybook, Tailwind, or Web Components.Knowledge of accessibility standards (WCAG, ARIA) and best practices for keyboard, color, and screen reader support.Skilled at collaborating with design teams to translate high-fidelity Figma specs into performant, production-ready components.

Resilience, Testing & Observability:

- Writes defensive code to handle partial data, dropped connections, race conditions, and AbortErrors.
- Understands test pyramids: unit, integration, and end-to-end (Playwright, Jest, Vitest).
- Adds telemetry hooks and log events to diagnose production issues and user experience regressions.

Developer Experience & Tooling:

- Comfortable configuring bundlers (Vite, Webpack) and optimizing build times.
- Sets up linting, type checking, and pre-commit automation for consistency.
- Experience with CI/CD, incremental testing, and feature flag rollouts.
- Experience with AI-assisted developer tools or scripting build/test automation to improve team velocity.

Mindset:

- You think in systems, not pages.
- You balance aesthetics with performance, correctness, and maintainability. You obsess over the invisible details — micro-interactions, latency, and flow — that make complex products feel effortless.
- You enjoy teaching others, debugging difficult issues, and making the team move faster through better abstractions.

Who You Are

Bachelor’s degree in Computer Science, Engineering, or related technical field (or equivalent practical experience).
At least 5 years of professional frontend development experience in a production environment.
Strong proficiency in TypeScript/JavaScript and deep understanding of asynchronous browser behavior.
Experience with Svelte, React, or another component-based modern UI framework.
Strong debugging and performance profiling skills.
Experience integrating real-time or streaming data into user interfaces.
Strong communication, collaboration, and mentoring skills.
Additional certifications or licenses
Skills and competencies that also include soft skills necessary for success
Bonus: Familiarity with AI/LLM-powered interfaces, progressive streaming UIs, or data-rich visualization frameworks.
You care deeply about user experience, developer productivity, and measurable performance — and you know that excellence in frontend engineering is achieved through curiosity, rigor, and empathy for both users and teammates.

Our Values

Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes.
Build Together - Collaborate to unlock the best solutions. Deliver lasting value.
Champion Our Clients - Exceed client expectations. Our clients’ success is our success.
Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry.
Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset.

In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote “interviews,” and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to ta-operations@addepar.com.

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Sr. Software Engineer, Backend – AI Platform

Addepar · Pune, India

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Alts & Data Management Pune, India Posted Apr 29, 2026

Who We Are

Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva and São Paulo.

The Role

We are currently seeking a Senior Software Engineer, Backend to join the AI Platform team, which powers intelligent experiences across our AI products.

As a Senior Software Engineer, you’ll design, build, and ship services across a distributed microservices platform that supports capabilities such as document extraction, portfolio chat, and semantic retrieval capabilities. You’ll work across backend services, cloud-native data systems, async processing, and real-time streaming infrastructure, collaborating closely with frontend, product, and AI/ML engineers to deliver reliable and scalable backend systems.

This role is ideal for an engineer who thrives on solving hard backend problems, writes clean and tested production code, and can own features end-to-end in a fast-moving AI product team.

Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position.

What You’ll Do

Design, build, and maintain backend services that power AI Platform products
Develop production systems in Python or other modern backend languages and frameworks, with strong emphasis on maintainability, reliability, and performance
Build and evolve REST APIs and/or gRPC services, including request validation, error handling, and versioning
Design and maintain relational and/or NoSQL data models across systems such as MySQL, PostgreSQL, DynamoDB, and Redis
Build and maintain asynchronous processing flows using queues and worker-based systems
Work on real-time streaming features, retrieval workflows, and service communication patterns that support AI interactions
Write strong automated tests, including unit and integration coverage, and contribute to CI-based quality gates
Debug production issues across service boundaries using logs, metrics, and system reasoning
Collaborate closely with frontend, product, and AI/ML teams to define API contracts and deliver end-to-end features
Contribute to code reviews, system quality, and engineering standards across the team

Who You Are

Bachelor’s degree in Computer Science, Engineering, or related technical field (or equivalent practical experience)
At least five years of professional backend software engineering experience in production environments
Strong proficiency in at least one production backend language such as Python, Go OR Java and the ability to work effectively across a polyglot environment
Strong software engineering fundamentals, including system design, debugging, code quality, testing, and operational ownership.
Experience building and maintaining REST APIs and/or gRPC services
Experience with relational databases and/or NoSQL data stores in production systems
Experience with asynchronous processing patterns such as queues, workers, retries, and failure handling
Proficiency with Docker and familiarity with modern backend development workflows
Strong testing discipline, including unit testing, integration testing, and mocking dependencies
Experience building or operating services on cloud infrastructure in a production context
Strong communication and collaboration skills, with the ability to work effectively across frontend, product, and AI/ML teams
We are looking for a strong backend software engineer, not someone whose experience is limited to scripting, framework usage, or cloud configuration without corresponding depth in production systems engineering
Familiarity or working knowledge of AWS will be a huge plus
[Bonus] Experience with modern backend frameworks such as FastAPI, Flask, Spring Boot, Go service frameworks, or equivalent
[Bonus] Experience with Redis, WebSockets, or real-time streaming systems
[Bonus] Experience with LLM/AI integration, semantic retrieval systems, or token streaming
[Bonus] Experience with observability tooling, structured logging, or Sentry/metrics systems
[Bonus] Experience in fintech or regulated domains

Our Values

Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes.
Build Together - Collaborate to unlock the best solutions. Deliver lasting value.
Champion Our Clients - Exceed client expectations. Our clients’ success is our success.
Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry.
Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset.

In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote “interviews,” and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to ta-operations@addepar.com.

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Senior Full Stack Engineer

Pico · Hyderabad; Pune

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Engineering Pune Hyderabad Posted Apr 24, 2026

Pico fuels the global capital markets community by providing exceptional market data services and customized managed infrastructure solutions. As financial industry experts at the center of markets and technology, we help our clients efficiently scale their business and quickly access markets. From infrastructure to connectivity, we support our clients through the full trading lifecycle. We are a global company headquartered in New York, with offices in Chicago, London, Singapore, Hong Kong and Tokyo.

Pico is a rapidly expanding Fintech company that offers innovative, transparent, low-latency markets solutions from a portfolio of best-in-class products coupled with an agile and expert service delivery platform. We help our clients to efficiently scale their business and quickly access global financial markets. From infrastructure to connectivity, we support our clients through the full trading lifecycle. We are a global company headquartered in New York, with various international offices including, London, Dublin, Madrid, Krakow, Singapore and Tokyo.

THE ROLE - Senior Full Stack Engineer

This is a great opportunity to work in a small close-knit team, collaborating with other teams, on a world class analytics platform, to deliver new updates, visualisations, and integrations in a responsive and agile environment.

You will be exposed to the full product lifecycle, designing, developing, and testing new features for our product, features that involve both server side and front-end development as well as integrations with Pico, or 3^rd Party APIs over REST or SOAP. Past collaborations with other teams have included working with our Data Science team to deliver cutting-edge Machine Learning based features to customers.

Our front-end stack is built up using Web Components and Angular, backend integrations with Python and Java, in a modular implementation environment, to enable making immediate and meaningful additions to the feature set of the product.

REQUIRED SKILLS

Experience developing in a Unix environment using Python and Java
Automated unit-testing and integration testing
Building modular UI Elements using Web Components (i.e. StencilJS) or Angular/React
Experience with RESTful web services
Knowledge of UI design principles, web standards, and cross browser capabilities
Experience working in an Agile development environment

DESIRABLE SKILLS

Experience with web-services using SOAP.
Data visualisation techniques
Knowledge and use of SQL (or similar query language)
Sound knowledge of design patterns and designing with abstractions.
Experience with automated build systems and SCM systems incl. GIT

PERSONAL ATTRIBUTES

Excellent analytical and problem-solving skills – able to propose several viable solutions to complex problems and be able to evaluate the best alternative and estimate the work required.
Passionate about technology, design, and quality – able to write high quality code together with appropriate tests proving functionality works as expected.
Can quickly grasp and learn new technologies and techniques.
Have excellent communication skills – you can make clear and meaningful contributions to white board design discussions and offer innovative solutions to complex problems as well as contribute insights from past experiences.
Able to offer concise and regular updates on progress and can highlight issues that might affect progress to allow preventative action to be taken.

Working Arrangements

This is a Hybrid position with [weekly time in the office with the flexibility of working from home]. Though travel may be required from time to time, it is not expected to be regular or frequent. The role holder will be expected to work whatever hours are necessary for the performance of this role (recognizing that it involves multiple jurisdictions/geographies including but not limited to EMEA, USA and APAC).

IMPORTANT DATA PRIVACY INFORMATION:

This position is available with PICO TECHNOLOGY INDIA PRIVATE LIMITED . The controller of your personal data will be PICO TECHNOLOGY INDIA PRIVATE LIMITED.

For further information on what personal data we collect, how we will process your personal data and your rights with respect to your personal data please read our Pico Job Candidate Privacy Notice, View Here.

Be a part of Pico Family

Pico is an equal opportunity employer. Pico does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at Pico are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.

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DevOps Engineer

Ensono · Pune, India

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E2358 Strategic Accounts (AWS) Pune, India Posted Apr 21, 2026

About Us (Ensono)

Ensono is an expert technology adviser and managed service provider. As a relentless ally, we accelerate clients’ digital transformation to achieve business outcomes that stand to last. Our dedicated team helps organizations optimize today’s systems across any hybrid environment with services such as consulting, mainframe and application modernization, public cloud migration and cloud-native development. With certified experts in AWS, Azure and Google Cloud and recognized as Microsoft Datacenter Transformation Partner of the Year, Ensono has over 3500+ associates globally and is headquartered in greater Chicago.

We care about your success, offering comprehensive strategic and managed services for mission-critical applications. Our Advisory and Consulting services can help upfront with an application strategy or find the right places for your applications – whether it’s public, multi or hybrid cloud, or mainframe. And because we span across all mission-critical platforms, we can meet you wherever you are in your digital transformation journey, with 24/7 support when you need it. We are your relentless ally, flexing with you when challenges emerge so you don’t feel stuck in place. With cross-platform certifications and decades of experience, our technology experts have become an extension of your team so you’re continuously innovating – doing more with less while remaining secure. And that’s just the beginning.

Job Summary

This is an exciting opportunity to join a friendly team working on some of the hottest AWS technologies. This team is primarily focused on the deployment, automation and support of mission-critical client solutions in AWS.

You will be working on a variety of projects and environments for household names using the latest technology including AWS, Terraform, Ansible, Powershell, Datadog, Jenkins, Bitbucket, Jira, Containers etc. Learning, collaborating, training and certification are strongly encouraged, and opportunities to do so will be provided.

The successful candidate will be someone who can demonstrate a genuine desire and passion for AWS, client service and automation.

Key Responsibilities:

Act as the lead engineer on large or complex client deploy projects
Act as the lead engineer on product engineering projects to further develop our service
Provide AWS subject matter expertise advice and assistance to pre-sales architects
Installation, configuration, and ongoing management of O/S and AWS services.
Implementing and maintaining custom client machine images and centralised configuration management to enable quick repeatable builds and auto-scaling.
Maintaining high availability through proactive measures.
Troubleshooting and resolving complex technical issues.
Ensuring clients & partners are updated on current status of work and issues.
Raise, investigate and resolve problems and known errors in line with the problem management process.
Ability and willingness to proactively improve ways of working, automation and processes via our continual improvement Kanban board.
Partake in an oncall rota to provide 24x7 4^th line support for Ensono’s AWS clients.
Proactively keep up to date on AWS services and developments.
Buddy new members of the team and train other teams
Act as team leader and technical escalation point in Manager’s absence

Skills and Experience:

8+ years’ experience in supporting highly customer-focused mission critical environments (e.g. high profile websites or enterprise infrastructure) essential.
3+ years’ experience of engineering, architecting, or supporting AWS solutions.
Excellent O/S knowledge and experience in Linux or Windows with basic knowledge of the other. MCSE/RHCE or equivalent level of knowledge preferred.
Experience of implementing and supporting AWS based instances and services (e.g. EC2, S3, EBS, ELB, RDS, IAM, Route53, Cloudfront, Elasticache, WAF etc.).
Hold a number of current AWS Associate and Professional level Certifications
Hold at least one AWS Certified Speciality certification (e.g. Security or Networking )
Experience of building and maintaining scalable and auto-scaled environments using automation and configuration management tools (e.g. Cloudformation/Terraform and Ansible) beneficial or can be gained.
Scripting ability in one or more of Python, Powershell, Bash, Perl
Experience of using Git for version control useful
Experience of working with or supporting containerized environments (ECS/EKS/Kubernetes/Docker)
Experience of Jenkins or other CI/CD pipeline technology useful or can be gained.
Good knowledge of TCP/IP.
A degree in a computing-related discipline preferred or equivalent ability and knowledge.
Excellent written and verbal communication skills.
Experience working in an ITIL environment beneficial.
Desire to continually grow, develop and improve.
Must be self-motivated, a self-starter and possess a good working attitude
Client focused and results driven
Able to implement supportable solutions and make the complex simple.
Able to perform as a role model within the team.

Shift Timing: 5:30 PM to 2:30 AM

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Staff Machine Learning Engineer

HG Insights · Pune, Maharashtra, India

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Engineering Pune Posted Apr 21, 2026

About HG Insights

Headquartered in Santa Barbara, California, HG Insights is the global leader in technology intelligence. We help the world’s most innovative companies accelerate their go-to-market efforts with precision through advanced data science methodologies and proprietary data assets. We offer a culture that blends innovation, collaboration, and growth, where each team member is empowered to make a measurable impact.

Role Overview

We are looking for a Staff/Senior Machine Learning Engineer to join our growing AI and Data Platform team in Pune, India. In this role, you will be responsible for designing, building, and scaling ML systems that power our core data intelligence products. You’ll work at the intersection of data engineering and machine learning, collaborating closely with data scientists, software engineers, and product teams to turn models and agents into robust, production-ready systems.

This is a high-impact role suited for someone who thrives on ownership, scalability, and deploying real-world ML and AI solutions at scale.

Key Responsibilities

ML & AI System Development

Design and build end-to-end ML pipelines, from data ingestion and feature engineering to model training, serving, and monitoring.
Productionize AI agents, including LLM-backed workflows, multi-step tool use, and API orchestration.
Collaborate with data scientists to bring experimental models into stable, high-performing production systems.

MLOps & Infrastructure

Implement and maintain MLOps workflows (CI/CD for ML), tracking experiments, managing model versions, and automating retraining.
Set up observability for models and agents, including tracing, logging, latency/error tracking, and fallback logic.
Ensure infrastructure supports scalability, performance, and compliance requirements.

Technical Leadership & Collaboration

Lead technical architecture for key AI and ML systems, ensuring maintainability and extensibility.
Partner with product and platform teams to translate business needs into reliable and performant ML solutions.
Mentor junior engineers and help elevate technical practices across the engineering org.

Minimum Qualifications

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
8+ years of industry experience, with at least 4+ years in ML engineering or MLOps.
Strong programming skills in Python and experience with ML libraries such as PyTorch, TensorFlow, and scikit-learn.
Experience deploying AI agents in production, including retrieval-augmented generation (RAG), multi-step reasoning, and tool-use orchestration.
Familiarity with LangChain, LlamaIndex, Haystack, or similar frameworks for agent development.
Hands-on with LLMs (OpenAI, Anthropic, Cohere, etc.), embedding models, and vector store integration.
Expertise in MLOps tools like MLflow, Airflow, SageMaker, or Kubeflow.
Experience with cloud platforms (preferably AWS), Docker/Kubernetes, and large-scale data systems (e.g., Snowflake, Databricks).
Excellent problem-solving and system design skills, including CI/CD, testing, and infrastructure-as-code.

Preferred Qualifications

Experience with streaming pipelines, online inference, and model monitoring at scale.
Exposure to agent memory, feedback loops, or AI workflow orchestration in customer-facing products.
Prior contributions to open-source ML or LLM projects are a plus.

Why Join HG Insights?

Work on high-impact AI products used by global enterprise customers.
Lead the ML engineering strategy and shape our AI platform.
Competitive compensation and benefits tailored for India-based employees.
A collaborative and innovation-focused team environment.

Ready to build the future of AI infrastructure? Apply now to join HG Insights as a Staff Machine Learning Engineer in Pune.

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AR

Data Engineer (GCP, Azure)

Artefact · Pune, Maharashtra, India

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Data Engineering India Posted Apr 21, 2026

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…

What you will be doing?
As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data.

Your responsibilities will include:

Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms.
Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions.
Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions.
Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing.
Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics.

What we are looking for?

Proficiency in Python, SQL, and database management.
Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP preferred), ML Modeling, Spark & Kafka.
Proven problem-solving skills and a solution-oriented mindset.
Excellent communication skills to collaborate effectively within teams and with stakeholders.
Strong business acumen with an interest in business-facing roles.
Adaptability and a start-up mentality to thrive in a dynamic environment.
Candidates with similar skill sets and experiences have excelled in technology firms or consultancy firms.
Successful candidates often possess Computer Science, Electronics, and Communication Engineering degrees.

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GCP Data Architect

Capco · India - Pune

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Data & Analytics India - Pune Posted Apr 15, 2026

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery.

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

MAKE AN IMPACT

In this role, you will:

Job Summary:

About the Role We are seeking an experienced GCP Lead to spearhead cloud data architecture and delivery on Google Cloud Platform (GCP). In this leadership role, you will design, implement, and optimize scalable data pipelines using BigQuery, Pub/Sub, and ETL frameworks, while driving stakeholder alignment across engineering, product, and business teams. The ideal candidate thrives in fast-paced environments, mentoring teams on GCP best practices and ensuring seamless data-driven solutions for enterprise clients. Key ResponsibilitiesLead end-to-end GCP data platform implementations, focusing on BigQuery for analytics, Pub/Sub for real-time messaging, and ETL pipelines using Dataflow, Composer, or custom tools.Architect and optimize high-volume data ingestion, transformation, and querying workflows to support business intelligence and ML workloads.Collaborate with cross-functional stakeholders—including product owners, data scientists, and executives—to gather requirements, define roadmaps, and deliver value through clear communication and presentations.Mentor junior engineers on GCP services, conduct code reviews, and enforce best practices for security, cost optimization, and scalability.Troubleshoot complex issues in production environments, perform performance tuning, and integrate with hybrid/multi-cloud setups.Drive migration projects from on-premise or other clouds (e.g., AWS/Cloudera) to GCP, ensuring minimal downtime and data integrity.

Required Qualifications10-12 years of total experience in IT/cloud consulting, with at least 5+ years hands-on with GCP (BigQuery, Pub/Sub, Dataflow/ETL).Bachelor's or Master's degree in Computer Science, Engineering, or related field.Proven track record leading GCP projects with measurable outcomes (e.g., reduced ETL latency by 40% or scaled Pub/Sub to millions of events/sec).Strong communication skills for stakeholder management, including executive presentations and agile ceremonies.GCP certifications (e.g., Professional Data Engineer, Professional Cloud Architect) preferred.Preferred SkillsExperience with Dataproc, Vertex AI, or integration with tools like Snowflake/Databricks.Familiarity with CI/CD (Cloud Build), IAM, and monitoring (Cloud Monitoring/Logging).Knowledge of data governance, compliance (GDPR), and cost management in GCP.

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Specialist Software Engineer, Actimize (Java)

NICE · India - Pune

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Actimize - Engineering India - Pune Posted Apr 15, 2026

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.

What’s the role all about?

As a Specialist Engineer, you will be a technical leader and mentor, guiding engineering teams in designing, developing, and delivering scalable, high‑quality solutions. You’ll make critical architectural decisions, drive adoption of AI‑powered development practices, and ensure the team leverages advanced tools like GitHub Copilot to maximize productivity. This role combines hands‑on technical expertise with leadership responsibilities, enabling you to shape the future of our products and engineering culture.

How will you make an impact?

Lead technical architecture design and ensure alignment with product strategy and business goals.
Guide and mentor engineers in best practices, coding standards, and system design.
Design and develop scalable, secure, and high‑performance solutions across backend, cloud, and UI components.
Champion the use of AI for automation and development, including advanced applications of GitHub Copilot.
Evaluate and adopt emerging technologies to strengthen system reliability and innovation.
Collaborate with cross‑functional teams (Product, R&D, DevOps, QA) to deliver end‑to‑end solutions.
Drive DevOps excellence through CI/CD pipelines, automated testing, and cloud deployment strategies.
Own technical decisions and provide clear rationale for architectural trade‑offs.
Troubleshoot complex production issues with accountability and foresight.
Foster a culture of continuous learning, innovation, and technical excellence.

Have you got what it takes?

8–12 years of hands‑on experience in software engineering and system design.
Proven expertise in architectural decision‑making and guiding engineering teams.
Strong programming skills in Java, Python, and proficiency with cloud platforms (AWS preferred).
Deep understanding of AI/ML concepts and practical experience integrating AI into development workflows.
Advanced knowledge of GitHub Copilot and other AI‑driven development tools.
Experience with modern UI frameworks (Angular, React, Vue).
Solid grasp of data structures, algorithms, and distributed system design.
Familiarity with CI/CD pipelines, Git, Jenkins, Docker, Kubernetes.
Excellent analytical, problem‑solving, and communication skills.
A proactive leader with strong ownership, curiosity, and a drive to innovate.
Ability to collaborate effectively within global, cross‑functional teams.

What’s in it for you?

Join a global, fast‑growing, market‑leading company where innovation is a way of life. You’ll work with some of the brightest minds in the industry in a creative, collaborative, and high‑energy environment. At NiCE, you’ll find endless opportunities across roles, domains, and technologies to shape your career journey.

Enjoy NiCE-FLEX!

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 10421
Reporting into: Tech Manager
Role Type: Individual Contributor

About NiCE

NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.

Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.

NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

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Senior Professional Services Engineer(PL/SQL Developer, Unix)

NICE · India - Pune

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Actimize - Services - Americas India - Pune Posted Apr 15, 2026

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.

So, what’s the role all about?

As a Senior Specialist Professional Services Engineer, you will be part of a dynamic, customer-facing team focused on the delivery and implementation of NICE Actimize Financial Crime Prevention solutions for leading financial institutions. This role provides exposure to key regulatory domains including AML, Payment Fraud, and Trading Compliance. You will be responsible for developing, configuring, and customizing Actimize product offerings while collaborating with SE Leads and implementation teams to deliver intelligent and innovative solutions.

How will you make an impact?

NICE Actimize is the industry leader in Financial Crimes and Compliance. At NICE, we continually push boundaries, challenge limits, and operate with ambition and excellence. As part of this team, you will bring your best every day, designing and implementing high-impact solutions that help major financial institutions prevent fraud, ensure compliance, and strengthen risk operations.

Develop, configure, and customize Actimize software features per design and enterprise standards.
Collaborate in multi‑disciplinary environments with Architects and Business Analysts using waterfall and agile methodologies.
Work independently to complete complex development and configuration tasks.
Support customers by troubleshooting and resolving functional issues.
Interface with R&D, Professional Services, and Customer Support teams.
Implement and configure new applications, set up new environments, and deploy solutions.
Contribute to internal tools and utilities enabling engineering teams to operate efficiently at scale.
Work occasionally onsite or across different time zones as required.
Perform detailed troubleshooting, analysis, and debugging in enterprise environments.
Manage complex database environments (Postgres, MS SQL) handling large data volumes.

Have you got what it takes?

Strong understanding of end‑to‑end application workflows.
Hands‑on expertise with SQL, Postgres DB, and managing large datasets.
Strong analytical, debugging, and problem‑solving skills.
Quick learner with excellent communication skills.
Experience developing within complex database environments (Postgres, MS SQL).
Exposure to Unix and basic command-line operations.
Ability to independently develop and configure enterprise‑grade software features.
High attention to detail with effective task management and planning.
Understanding of scalable, secure, multi‑user coding concepts.

Plus, but not mandatory

Experience or knowledge in Actimize development.
Professional Services / Implementation exposure.
DevOps knowledge (Kubernetes, Docker, Pods).
AI/ML solution design and deployment experience.

Business Impact

Holds full development and deployment responsibility as an Individual Contributor.
Displays strong conceptual thinking and professional discretion.
Applies independent judgment in resolving complex technical issues.
Able to analyze and resolve problems of moderate scope using varied inputs.

Qualifications / Education

BE/B.Tech with 5–7 years of relevant professional experience.

What’s in it for you?

Join an ever-growing, market-disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!

Enjoy NiCE-FLEX!

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 10236
Reporting into: Tech Manager
Role Type: Individual Contributor

About NiCE

NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.

Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.

NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

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Lead AI Engineer

Capco · India

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Data & Analytics India - Pune Posted Apr 10, 2026

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery.

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

MAKE AN IMPACT

Job Details

Lead AI Engineer

Location: Pune (Hybrid)

Role Purpose Design and deliver AI/ML and Generative AI solutions that enhance client intelligence, automation, and decision-making across Private Banking platforms, leveraging data sourced from core banking systems (e.g. Avaloq), CRM, and digital channels.

Key Responsibilities

Develop and deploy AI/ML and GenAI models (e.g. NLP, summarization, recommendation engines)
Build scalable data pipelines and feature engineering workflows using structured and unstructured data
Integrate AI capabilities into enterprise platforms via APIs and microservices.
Work with data originating from core banking platforms (e.g. Avaloq) including client, portfolio, and transaction data.
Enable AI-driven use cases such as client insights, next-best-action, and automation of RM workflows.
Implement model monitoring, governance, and performance optimization aligned to enterprise standards.
Collaborate with engineering and business teams to translate wealth use cases into scalable solutions.
Experience working with wealth management data (clients, portfolios, transactions)
Understanding of data flows from core banking systems such as Avaloq
Awareness of AI governance, model risk, and regulatory considerations in banking

Skills & Experience

Primary:

Python (mandatory) • ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn) • GenAI / LLM frameworks (LangChain, OpenAI, etc.) • AWS (S3, Lambda, SageMaker, Bedrock)

Secondary: • Data engineering (ETL pipelines, feature stores) • API development • Vector databases / embeddings

Ready to apply?

CA

Capco

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CA

.Net Fullstack Developer with React.js- Pune

Capco · India - Pune

Apply now

Business Consulting India - Pune Posted Apr 9, 2026

Job Title: .Net Full stack Developer with React.js

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery.

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

MAKE AN IMPACT

Job Title: .Net Full stack Developer with React.js

Location: Pune (Hybrid Mode - 3 days WFO per week)

We are looking for a highly skilled Full-Stack Engineer with 5+ years of experience to join our growing Engineering team. In this role, you’ll build scalable, reliable, and impactful software that supports the core of our wealth management platform. You’ll work closely with product, design, data, and AI teams to deliver solutions that solve real-world challenges for top-tier financial institutions.

This is an opportunity to work on modern technology, contribute to innovative solutions, and help shape the future of financial services.

What You’ll Do

· Design, develop, test, and deploy high-quality full-stack applications using modern frameworks and cloud technologies.

· Build scalable and secure APIs, services, and user interfaces that integrate with complex financial systems.

· Collaborate with cross-functional teams (Product, Data Science, AI, UX) to translate business requirements into technical solutions.

· Implement best practices for code quality, testing, automation, and CI/CD.

· Contribute to architectural decisions and continuously improve system performance, reliability, and scalability.

· Participate in code reviews, mentorship, and knowledge sharing within the engineering team.

· Troubleshoot production issues and support a high-availability SaaS environment.

What You Bring

· 5+ years of professional software engineering experience in full-stack development.

· Solid experience with back-end technologies (.NET & C#).

· Strong proficiency with front-end frameworks (React) and JavaScript/TypeScript.

· Hands-on experience building RESTful APIs and integrating with cloud-based services.

· Strong understanding of SQL/NoSQL databases (PostgreSQL, SQL Server, MongoDB, etc.).

· Experience with CI/CD, automated testing frameworks, and Git-based workflows.

· Familiarity with cloud platforms (AWS, Azure, or GCP).

· Passion for clean code, good design patterns, and building scalable systems.

· Excellent communication skills and the ability to work in a collaborative, fast-paced environment.

Nice to Have

· Experience in financial services, wealth management, or fintech.

· Exposure to AI/ML integrations or data-intensive applications.

· Background with microservices, event-driven architectures, or distributed systems.

· Knowledge of security best practices, especially in regulated industries.

If you are keen to join us, you will be part of an organization that values your contributions, recognizes your potential, and provides ample opportunities for growth. For more information, visit www.capco.com. Follow us on Twitter, Facebook, LinkedIn, and YouTube.

Ready to apply?

CA

Capco

View all jobs →

Staff Software Engineer (FullStack)

AlphaSense India · Pune

Apply now

Engineering Bengaluru Posted Apr 9, 2026

About AlphaSense:

The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.

The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!

About the Role

Join us as a Full Stack Staff Engineer to lead the evolution of the AlphaSense Application Portfolio through robust architecture and cutting-edge AI integration. This role is designed for a seasoned engineer who thrives on solving massive-scale frontend challenges and building performant, customer-focused systems. You will act as a strategic lead—researching and architecting solutions for complex frontends, while fostering a culture of technical excellence across the team. If you are looking to combine hands-on AI innovation with high-impact organizational leadership, this role is for you.

What You’ll Do:

Serve as the Architectural Anchor for integrating AI into the product fabric. You will research, prototype, and deploy cutting-edge solutions using LLMs and the latest frontend technologies, ensuring these models are not just theoretical but are seamlessly integrated into high-performance, user-facing applications.
Design the frontend architecture that serves as the gateway to our AI platform. You will build robust, scalable interfaces capable of rendering insights from millions of documents with sub-second latency. By bridging the gap between complex AI services and the end-user, you will ensure that massive-scale data is transformed into performant, intuitive, and highly responsive web applications.
Partner with cross-functional, distributed teams to evaluate and adopt emerging technologies, while leading the seamless integration and optimization of intelligent features and high-impact workflows across the platform
Act as the key technical mentor and thought leader for our large engineering team and drive some mission-critical initiatives to production

Who you are

Core Qualifications

8+ years of experience building complex, data-intensive full-stack systems, with 5+ years specifically scaling production-grade services using Node.js, GraphQL, and modern JavaScript/TypeScript ecosystems.
Deep expertise in React and TypeScript; a proven ability to codify performance best practices, navigate complex architectural trade-offs, and drive code-level improvements.
Proven success in designing large-scale asynchronous systems using streaming, queuing, and caching strategies, supported by robust observability (logging, metrics, tracing).
Strong proficiency with SQL/NoSQL (e.g., DynamoDB, Elasticsearch, Vespa) and cloud-native development within AWS or GCP.
Working knowledge of Python or Java/Spring.
Passion for AI-assisted development (e.g., Cursor, Claude)
Exceptional communicator able to articulate complex technical concepts and influence engineering direction across multiple teams without direct authority.
Prior experience at global technology companies or high-growth product organizations with a high-bar engineering culture.

Nice to have

Proficient in modern DevOps/MLOps, including CI/CD, IaC, and automated testing frameworks.
Hands-on experience with Docker and Kubernetes for containerized application delivery.

Practical experience deploying LLM applications, agentic frameworks, or scalable AI infrastructure.

AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.

In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.

Recruiting Scams and Fraud

We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:

AlphaSense never asks candidates to pay for job applications, equipment, or training.
All official communications will come from an @alpha-sense.com email address.
If you’re unsure about a job posting or recruiter, verify it on our Careers page.

If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.

Ready to apply?

AlphaSense India

View all jobs →

Principal Software Engineer, AI

AlphaSense India · Delhi

Apply now

Engineering Pune Posted Apr 9, 2026

About AlphaSense:

The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.

The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!

About the Role:

We are seeking a visionary and hands-on Principal AI Engineer to be the foundational pillar of our strategy in the Content portfolio. You will be the catalyst who injects deep, modern AI expertise into our product portfolio. Your mission will be to research, architect, and pioneer the solutions that will process and extract intelligent insights from millions of unstructured documents and multi-media files every single day.

This is a unique "founding engineer" opportunity to shape the future of AI within our company. You will be the primary AI/ML authority, responsible for identifying and implementing state-of-the-art techniques for document classification, entity extraction, image search, and more. If you are a seasoned engineer who thrives on solving massive-scale data challenges and wants to build a center of excellence from the ground up, this role is for you.

What You’ll Do:

Spearhead AI Innovation: Act as the chief technical authority on AI, you will research, evaluate, and prototype cutting-edge solutions using Large Language Models (LLMs), Computer Vision, and other machine learning techniques to solve our most complex data extraction challenges.
Architect for Scale: Design and build robust, highly scalable, and cost-effective AI services and data processing pipelines. Your architecture will be the backbone for processing millions of documents daily with high reliability and throughput.
Tackle Real-World AI Challenges: Go beyond theory to systematically solve the practical problems of production AI. This includes managing LLM latency and variance, developing sophisticated prompt engineering strategies, and building fault-tolerant, defensive systems that perform consistently.
Be a Force Multiplier: Act as the key technical mentor and thought leader for our large engineering team and drive some mission-critical initiatives to production

Who You Are:

Core Qualifications

12+ years of professional software engineering experience, with a proven track record of building complex, data-intensive, backend systems.
Deep expertise (5+ years) in building and scaling production-grade services using modern backend frameworks such as FastAPI, Django, Sanic, Spring Boot or similar.
Significant, hands-on experience (3+ years) in the complete lifecycle of AI/ML models: from experimentation and prototyping to deploying, monitoring, and iterating on them in a high-volume cloud environment.
Mastery in designing large-scale distributed systems, demonstrating strong knowledge of asynchronous patterns, streaming/queuing/caching strategies, and robust observability (logging, metrics, tracing).
Exceptional communication and leadership skills. You can articulate complex technical concepts to diverse audiences and have the ability to influence engineering direction across multiple teams without direct authority.

Nice to have

Proficiency with modern DevOps and MLOps practices, including CI/CD pipelines, Infrastructure as Code (IaC), and automated testing frameworks.
Hands-on experience with containerization and orchestration technologies, particularly Docker and Kubernetes.

AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.

In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.

Recruiting Scams and Fraud

We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:

AlphaSense never asks candidates to pay for job applications, equipment, or training.
All official communications will come from an @alpha-sense.com email address.
If you’re unsure about a job posting or recruiter, verify it on our Careers page.

If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.

Ready to apply?

AlphaSense India

View all jobs →

Principal Software Engineer, AI

AlphaSense India · Pune

Apply now

Engineering Pune Posted Apr 9, 2026

About AlphaSense:

The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.

The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!

About the Role:

We are seeking a visionary and hands-on Principal AI Engineer to be the foundational pillar of our strategy in the Content portfolio. You will be the catalyst who injects deep, modern AI expertise into our product portfolio. Your mission will be to research, architect, and pioneer the solutions that will process and extract intelligent insights from millions of unstructured documents and multi-media files every single day.

This is a unique "founding engineer" opportunity to shape the future of AI within our company. You will be the primary AI/ML authority, responsible for identifying and implementing state-of-the-art techniques for document classification, entity extraction, image search, and more. If you are a seasoned engineer who thrives on solving massive-scale data challenges and wants to build a center of excellence from the ground up, this role is for you.

What You’ll Do:

Spearhead AI Innovation: Act as the chief technical authority on AI, you will research, evaluate, and prototype cutting-edge solutions using Large Language Models (LLMs), Computer Vision, and other machine learning techniques to solve our most complex data extraction challenges.
Architect for Scale: Design and build robust, highly scalable, and cost-effective AI services and data processing pipelines. Your architecture will be the backbone for processing millions of documents daily with high reliability and throughput.
Tackle Real-World AI Challenges: Go beyond theory to systematically solve the practical problems of production AI. This includes managing LLM latency and variance, developing sophisticated prompt engineering strategies, and building fault-tolerant, defensive systems that perform consistently.
Be a Force Multiplier: Act as the key technical mentor and thought leader for our large engineering team and drive some mission-critical initiatives to production

Who You Are:

Core Qualifications

12+ years of professional software engineering experience, with a proven track record of building complex, data-intensive, backend systems.
Deep expertise (5+ years) in building and scaling production-grade services using modern backend frameworks such as FastAPI, Django, Sanic, Spring Boot or similar.
Significant, hands-on experience (3+ years) in the complete lifecycle of AI/ML models: from experimentation and prototyping to deploying, monitoring, and iterating on them in a high-volume cloud environment.
Mastery in designing large-scale distributed systems, demonstrating strong knowledge of asynchronous patterns, streaming/queuing/caching strategies, and robust observability (logging, metrics, tracing).
Exceptional communication and leadership skills. You can articulate complex technical concepts to diverse audiences and have the ability to influence engineering direction across multiple teams without direct authority.

Nice to have

Proficiency with modern DevOps and MLOps practices, including CI/CD pipelines, Infrastructure as Code (IaC), and automated testing frameworks.
Hands-on experience with containerization and orchestration technologies, particularly Docker and Kubernetes.

AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.

In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.

Recruiting Scams and Fraud

We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:

AlphaSense never asks candidates to pay for job applications, equipment, or training.
All official communications will come from an @alpha-sense.com email address.
If you’re unsure about a job posting or recruiter, verify it on our Careers page.

If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.

Ready to apply?

AlphaSense India

View all jobs →

Senior Staff Engineer, AI

AlphaSense India · Remote - India

Apply now

Engineering Pune Posted Apr 9, 2026

About AlphaSense:

The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.

The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!

About the Role:

We are seeking a visionary and hands-on Senior Staff AI Engineer to be the foundational pillar of our strategy in the Content portfolio. You will be the catalyst who injects deep, modern AI expertise into our product portfolio. Your mission will be to research, architect, and pioneer the solutions that will process and extract intelligent insights from millions of unstructured documents and multi-media files every single day.

This is a unique "founding engineer" opportunity to shape the future of AI within our company. You will be the primary AI/ML authority, responsible for identifying and implementing state-of-the-art techniques for document classification, entity extraction, image search, and more. If you are a seasoned engineer who thrives on solving massive-scale data challenges and wants to build a center of excellence from the ground up, this role is for you.

What You’ll Do:

Spearhead AI Innovation: Act as the chief technical authority on AI, you will research, evaluate, and prototype cutting-edge solutions using Large Language Models (LLMs), Computer Vision, and other machine learning techniques to solve our most complex data extraction challenges.
Architect for Scale: Design and build robust, highly scalable, and cost-effective AI services and data processing pipelines. Your architecture will be the backbone for processing millions of documents daily with high reliability and throughput.
Tackle Real-World AI Challenges: Go beyond theory to systematically solve the practical problems of production AI. This includes managing LLM latency and variance, developing sophisticated prompt engineering strategies, and building fault-tolerant, defensive systems that perform consistently.
Be a Force Multiplier: Act as the key technical mentor and thought leader for our large engineering team and drive some mission-critical initiatives to production

Who You Are:

Core Qualifications

10+ years of professional software engineering experience, with a proven track record of building complex, data-intensive, backend systems.
Deep expertise (5+ years) in building and scaling production-grade services using modern backend frameworks such as FastAPI, Django, Sanic, Spring Boot or similar.
Significant, hands-on experience (3+ years) in the complete lifecycle of AI/ML models: from experimentation and prototyping to deploying, monitoring, and iterating on them in a high-volume cloud environment.
Mastery in designing large-scale distributed systems, demonstrating strong knowledge of asynchronous patterns, streaming/queuing/caching strategies, and robust observability (logging, metrics, tracing).
Exceptional communication and leadership skills. You can articulate complex technical concepts to diverse audiences and have the ability to influence engineering direction across multiple teams without direct authority.

Nice to have

Proficiency with modern DevOps and MLOps practices, including CI/CD pipelines, Infrastructure as Code (IaC), and automated testing frameworks.
Hands-on experience with containerization and orchestration technologies, particularly Docker and Kubernetes.

AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.

In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.

Recruiting Scams and Fraud

We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:

AlphaSense never asks candidates to pay for job applications, equipment, or training.
All official communications will come from an @alpha-sense.com email address.
If you’re unsure about a job posting or recruiter, verify it on our Careers page.

If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.

Ready to apply?

AlphaSense India

View all jobs →

Principal Software Engineer, AI

AlphaSense India · Bengaluru

Apply now

Engineering Pune Posted Apr 9, 2026

About AlphaSense:

The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.

The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!

About the Role:

We are seeking a visionary and hands-on Principal AI Engineer to be the foundational pillar of our strategy in the Content portfolio. You will be the catalyst who injects deep, modern AI expertise into our product portfolio. Your mission will be to research, architect, and pioneer the solutions that will process and extract intelligent insights from millions of unstructured documents and multi-media files every single day.

This is a unique "founding engineer" opportunity to shape the future of AI within our company. You will be the primary AI/ML authority, responsible for identifying and implementing state-of-the-art techniques for document classification, entity extraction, image search, and more. If you are a seasoned engineer who thrives on solving massive-scale data challenges and wants to build a center of excellence from the ground up, this role is for you.

What You’ll Do:

Spearhead AI Innovation: Act as the chief technical authority on AI, you will research, evaluate, and prototype cutting-edge solutions using Large Language Models (LLMs), Computer Vision, and other machine learning techniques to solve our most complex data extraction challenges.
Architect for Scale: Design and build robust, highly scalable, and cost-effective AI services and data processing pipelines. Your architecture will be the backbone for processing millions of documents daily with high reliability and throughput.
Tackle Real-World AI Challenges: Go beyond theory to systematically solve the practical problems of production AI. This includes managing LLM latency and variance, developing sophisticated prompt engineering strategies, and building fault-tolerant, defensive systems that perform consistently.
Be a Force Multiplier: Act as the key technical mentor and thought leader for our large engineering team and drive some mission-critical initiatives to production

Who You Are:

Core Qualifications

12+ years of professional software engineering experience, with a proven track record of building complex, data-intensive, backend systems.
Deep expertise (5+ years) in building and scaling production-grade services using modern backend frameworks such as FastAPI, Django, Sanic, Spring Boot or similar.
Significant, hands-on experience (3+ years) in the complete lifecycle of AI/ML models: from experimentation and prototyping to deploying, monitoring, and iterating on them in a high-volume cloud environment.
Mastery in designing large-scale distributed systems, demonstrating strong knowledge of asynchronous patterns, streaming/queuing/caching strategies, and robust observability (logging, metrics, tracing).
Exceptional communication and leadership skills. You can articulate complex technical concepts to diverse audiences and have the ability to influence engineering direction across multiple teams without direct authority.

Nice to have

Proficiency with modern DevOps and MLOps practices, including CI/CD pipelines, Infrastructure as Code (IaC), and automated testing frameworks.
Hands-on experience with containerization and orchestration technologies, particularly Docker and Kubernetes.

AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.

In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.

Recruiting Scams and Fraud

We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:

AlphaSense never asks candidates to pay for job applications, equipment, or training.
All official communications will come from an @alpha-sense.com email address.
If you’re unsure about a job posting or recruiter, verify it on our Careers page.

If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.

Ready to apply?

AlphaSense India

View all jobs →

Senior Staff Engineer, AI

AlphaSense · Remote - India

Apply now

Engineering Pune Posted Apr 9, 2026

About AlphaSense:

The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.

The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!

About the Role:

We are seeking a visionary and hands-on Senior Staff AI Engineer to be the foundational pillar of our strategy in the Content portfolio. You will be the catalyst who injects deep, modern AI expertise into our product portfolio. Your mission will be to research, architect, and pioneer the solutions that will process and extract intelligent insights from millions of unstructured documents and multi-media files every single day.

This is a unique "founding engineer" opportunity to shape the future of AI within our company. You will be the primary AI/ML authority, responsible for identifying and implementing state-of-the-art techniques for document classification, entity extraction, image search, and more. If you are a seasoned engineer who thrives on solving massive-scale data challenges and wants to build a center of excellence from the ground up, this role is for you.

What You’ll Do:

Spearhead AI Innovation: Act as the chief technical authority on AI, you will research, evaluate, and prototype cutting-edge solutions using Large Language Models (LLMs), Computer Vision, and other machine learning techniques to solve our most complex data extraction challenges.
Architect for Scale: Design and build robust, highly scalable, and cost-effective AI services and data processing pipelines. Your architecture will be the backbone for processing millions of documents daily with high reliability and throughput.
Tackle Real-World AI Challenges: Go beyond theory to systematically solve the practical problems of production AI. This includes managing LLM latency and variance, developing sophisticated prompt engineering strategies, and building fault-tolerant, defensive systems that perform consistently.
Be a Force Multiplier: Act as the key technical mentor and thought leader for our large engineering team and drive some mission-critical initiatives to production

Who You Are:

Core Qualifications

10+ years of professional software engineering experience, with a proven track record of building complex, data-intensive, backend systems.
Deep expertise (5+ years) in building and scaling production-grade services using modern backend frameworks such as FastAPI, Django, Sanic, Spring Boot or similar.
Significant, hands-on experience (3+ years) in the complete lifecycle of AI/ML models: from experimentation and prototyping to deploying, monitoring, and iterating on them in a high-volume cloud environment.
Mastery in designing large-scale distributed systems, demonstrating strong knowledge of asynchronous patterns, streaming/queuing/caching strategies, and robust observability (logging, metrics, tracing).
Exceptional communication and leadership skills. You can articulate complex technical concepts to diverse audiences and have the ability to influence engineering direction across multiple teams without direct authority.

Nice to have

Proficiency with modern DevOps and MLOps practices, including CI/CD pipelines, Infrastructure as Code (IaC), and automated testing frameworks.
Hands-on experience with containerization and orchestration technologies, particularly Docker and Kubernetes.

AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.

In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.

Recruiting Scams and Fraud

We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:

AlphaSense never asks candidates to pay for job applications, equipment, or training.
All official communications will come from an @alpha-sense.com email address.
If you’re unsure about a job posting or recruiter, verify it on our Careers page.

If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.

Ready to apply?

AlphaSense

View all jobs →

Principal Software Engineer, AI

AlphaSense · Bengaluru

Apply now

Engineering Pune Posted Apr 9, 2026

About AlphaSense:

The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.

The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!

About the Role:

We are seeking a visionary and hands-on Principal AI Engineer to be the foundational pillar of our strategy in the Content portfolio. You will be the catalyst who injects deep, modern AI expertise into our product portfolio. Your mission will be to research, architect, and pioneer the solutions that will process and extract intelligent insights from millions of unstructured documents and multi-media files every single day.

This is a unique "founding engineer" opportunity to shape the future of AI within our company. You will be the primary AI/ML authority, responsible for identifying and implementing state-of-the-art techniques for document classification, entity extraction, image search, and more. If you are a seasoned engineer who thrives on solving massive-scale data challenges and wants to build a center of excellence from the ground up, this role is for you.

What You’ll Do:

Spearhead AI Innovation: Act as the chief technical authority on AI, you will research, evaluate, and prototype cutting-edge solutions using Large Language Models (LLMs), Computer Vision, and other machine learning techniques to solve our most complex data extraction challenges.
Architect for Scale: Design and build robust, highly scalable, and cost-effective AI services and data processing pipelines. Your architecture will be the backbone for processing millions of documents daily with high reliability and throughput.
Tackle Real-World AI Challenges: Go beyond theory to systematically solve the practical problems of production AI. This includes managing LLM latency and variance, developing sophisticated prompt engineering strategies, and building fault-tolerant, defensive systems that perform consistently.
Be a Force Multiplier: Act as the key technical mentor and thought leader for our large engineering team and drive some mission-critical initiatives to production

Who You Are:

Core Qualifications

12+ years of professional software engineering experience, with a proven track record of building complex, data-intensive, backend systems.
Deep expertise (5+ years) in building and scaling production-grade services using modern backend frameworks such as FastAPI, Django, Sanic, Spring Boot or similar.
Significant, hands-on experience (3+ years) in the complete lifecycle of AI/ML models: from experimentation and prototyping to deploying, monitoring, and iterating on them in a high-volume cloud environment.
Mastery in designing large-scale distributed systems, demonstrating strong knowledge of asynchronous patterns, streaming/queuing/caching strategies, and robust observability (logging, metrics, tracing).
Exceptional communication and leadership skills. You can articulate complex technical concepts to diverse audiences and have the ability to influence engineering direction across multiple teams without direct authority.

Nice to have

Proficiency with modern DevOps and MLOps practices, including CI/CD pipelines, Infrastructure as Code (IaC), and automated testing frameworks.
Hands-on experience with containerization and orchestration technologies, particularly Docker and Kubernetes.

AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.

In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.

Recruiting Scams and Fraud

We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:

AlphaSense never asks candidates to pay for job applications, equipment, or training.
All official communications will come from an @alpha-sense.com email address.
If you’re unsure about a job posting or recruiter, verify it on our Careers page.

If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.

Ready to apply?

AlphaSense

View all jobs →

Principal Software Engineer, AI

AlphaSense · Pune

Apply now

Engineering Pune Posted Apr 9, 2026

About AlphaSense:

The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.

The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!

About the Role:

We are seeking a visionary and hands-on Principal AI Engineer to be the foundational pillar of our strategy in the Content portfolio. You will be the catalyst who injects deep, modern AI expertise into our product portfolio. Your mission will be to research, architect, and pioneer the solutions that will process and extract intelligent insights from millions of unstructured documents and multi-media files every single day.

This is a unique "founding engineer" opportunity to shape the future of AI within our company. You will be the primary AI/ML authority, responsible for identifying and implementing state-of-the-art techniques for document classification, entity extraction, image search, and more. If you are a seasoned engineer who thrives on solving massive-scale data challenges and wants to build a center of excellence from the ground up, this role is for you.

What You’ll Do:

Spearhead AI Innovation: Act as the chief technical authority on AI, you will research, evaluate, and prototype cutting-edge solutions using Large Language Models (LLMs), Computer Vision, and other machine learning techniques to solve our most complex data extraction challenges.
Architect for Scale: Design and build robust, highly scalable, and cost-effective AI services and data processing pipelines. Your architecture will be the backbone for processing millions of documents daily with high reliability and throughput.
Tackle Real-World AI Challenges: Go beyond theory to systematically solve the practical problems of production AI. This includes managing LLM latency and variance, developing sophisticated prompt engineering strategies, and building fault-tolerant, defensive systems that perform consistently.
Be a Force Multiplier: Act as the key technical mentor and thought leader for our large engineering team and drive some mission-critical initiatives to production

Who You Are:

Core Qualifications

12+ years of professional software engineering experience, with a proven track record of building complex, data-intensive, backend systems.
Deep expertise (5+ years) in building and scaling production-grade services using modern backend frameworks such as FastAPI, Django, Sanic, Spring Boot or similar.
Significant, hands-on experience (3+ years) in the complete lifecycle of AI/ML models: from experimentation and prototyping to deploying, monitoring, and iterating on them in a high-volume cloud environment.
Mastery in designing large-scale distributed systems, demonstrating strong knowledge of asynchronous patterns, streaming/queuing/caching strategies, and robust observability (logging, metrics, tracing).
Exceptional communication and leadership skills. You can articulate complex technical concepts to diverse audiences and have the ability to influence engineering direction across multiple teams without direct authority.

Nice to have

Proficiency with modern DevOps and MLOps practices, including CI/CD pipelines, Infrastructure as Code (IaC), and automated testing frameworks.
Hands-on experience with containerization and orchestration technologies, particularly Docker and Kubernetes.

AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.

In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.

Recruiting Scams and Fraud

We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:

AlphaSense never asks candidates to pay for job applications, equipment, or training.
All official communications will come from an @alpha-sense.com email address.
If you’re unsure about a job posting or recruiter, verify it on our Careers page.

If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.

Ready to apply?

AlphaSense

View all jobs →

Principal Software Engineer, AI

AlphaSense · Delhi

Apply now

Engineering Pune Posted Apr 9, 2026

About AlphaSense:

The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.

The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!

About the Role:

We are seeking a visionary and hands-on Principal AI Engineer to be the foundational pillar of our strategy in the Content portfolio. You will be the catalyst who injects deep, modern AI expertise into our product portfolio. Your mission will be to research, architect, and pioneer the solutions that will process and extract intelligent insights from millions of unstructured documents and multi-media files every single day.

This is a unique "founding engineer" opportunity to shape the future of AI within our company. You will be the primary AI/ML authority, responsible for identifying and implementing state-of-the-art techniques for document classification, entity extraction, image search, and more. If you are a seasoned engineer who thrives on solving massive-scale data challenges and wants to build a center of excellence from the ground up, this role is for you.

What You’ll Do:

Spearhead AI Innovation: Act as the chief technical authority on AI, you will research, evaluate, and prototype cutting-edge solutions using Large Language Models (LLMs), Computer Vision, and other machine learning techniques to solve our most complex data extraction challenges.
Architect for Scale: Design and build robust, highly scalable, and cost-effective AI services and data processing pipelines. Your architecture will be the backbone for processing millions of documents daily with high reliability and throughput.
Tackle Real-World AI Challenges: Go beyond theory to systematically solve the practical problems of production AI. This includes managing LLM latency and variance, developing sophisticated prompt engineering strategies, and building fault-tolerant, defensive systems that perform consistently.
Be a Force Multiplier: Act as the key technical mentor and thought leader for our large engineering team and drive some mission-critical initiatives to production

Who You Are:

Core Qualifications

12+ years of professional software engineering experience, with a proven track record of building complex, data-intensive, backend systems.
Deep expertise (5+ years) in building and scaling production-grade services using modern backend frameworks such as FastAPI, Django, Sanic, Spring Boot or similar.
Significant, hands-on experience (3+ years) in the complete lifecycle of AI/ML models: from experimentation and prototyping to deploying, monitoring, and iterating on them in a high-volume cloud environment.
Mastery in designing large-scale distributed systems, demonstrating strong knowledge of asynchronous patterns, streaming/queuing/caching strategies, and robust observability (logging, metrics, tracing).
Exceptional communication and leadership skills. You can articulate complex technical concepts to diverse audiences and have the ability to influence engineering direction across multiple teams without direct authority.

Nice to have

Proficiency with modern DevOps and MLOps practices, including CI/CD pipelines, Infrastructure as Code (IaC), and automated testing frameworks.
Hands-on experience with containerization and orchestration technologies, particularly Docker and Kubernetes.

AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.

In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.

Recruiting Scams and Fraud

We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:

AlphaSense never asks candidates to pay for job applications, equipment, or training.
All official communications will come from an @alpha-sense.com email address.
If you’re unsure about a job posting or recruiter, verify it on our Careers page.

If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.

Ready to apply?

AlphaSense

View all jobs →

Senior Software Engineer (AI Applications)

AlphaSense · Pune

Apply now

Engineering Delhi Posted Apr 7, 2026

About AlphaSense:

The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.

The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!

About the Role:

Seeking a passionate Senior Engineer to join our Content Engineering team. This team specializes in large-scale content processing using cutting-edge technologies. In this role, you'll leverage AI applications (NLP, LLM) for document understanding, including, but not limited to, document classification, text categorization, data extraction, and semantic similarity.

Requirements:
Must have

6+ years of experience as a software engineer, primarily with Python
Ideally, you possess an advanced degree (Bachelor's / Master's) in Computer Science, Computer Engineering, or a relevant field with a focus on Artificial Intelligence, machine learning, but equivalent industry experience may be considered
2+ years of hands-on experience building and deploying applications that use Large Language Models (LLMs).
Experience in extracting structured JSON from text using LLMs and a deep understanding of Prompt Engineering.
Proficiency in classic NLP libraries for tasks like NER, text classification, and pre-processing.
Experience with LLM tracing, debugging and evaluation platforms such as Langfuse.
Excellent communication, organizational, problem-solving, debugging, and analytical skills.

Great to have

Experience in async processing of data at scale
Using frameworks like LangChain, HuggingFace, and backend web frameworks like FastAPI.
Expertise on core engineering skills - Cloud, microservice architecture, caching, and queuing.
Familiarity with concepts/tools as Docker, k8s, VCS, CI/CD
Previous experience in data extraction from specific domains (e.g., financial reports, news).

Responsibilities:

Deploy LLM based production grade solutions.
Fine-tune and adapt State of the art LLMs for specialized data extraction tasks. Develop innovative prompt engineering strategy and systems to maximize reliability and performance on confidential business documents.
Solve Engineering challenges that come along with LLM solutions, such as high latency, non-deterministic output, etc.
Implement and scale data processing pipelines that can process high volumes of complex documents with high accuracy and efficiency.
Integrate and manage LLM Observability to trace, debug, and monitor every extraction
Own systems end-to-end, including(but not limited to) designing, coding, monitoring, testing, CI/CD and on-call support.

AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.

In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.

Recruiting Scams and Fraud

We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:

AlphaSense never asks candidates to pay for job applications, equipment, or training.
All official communications will come from an @alpha-sense.com email address.
If you’re unsure about a job posting or recruiter, verify it on our Careers page.

If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.

Ready to apply?

AlphaSense

View all jobs →

Senior Software Engineer (AI Applications)

AlphaSense India · Pune

Apply now

Engineering Delhi Posted Apr 7, 2026

About AlphaSense:

The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.

The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!

About the Role:

Seeking a passionate Senior Engineer to join our Content Engineering team. This team specializes in large-scale content processing using cutting-edge technologies. In this role, you'll leverage AI applications (NLP, LLM) for document understanding, including, but not limited to, document classification, text categorization, data extraction, and semantic similarity.

Requirements:
Must have

6+ years of experience as a software engineer, primarily with Python
Ideally, you possess an advanced degree (Bachelor's / Master's) in Computer Science, Computer Engineering, or a relevant field with a focus on Artificial Intelligence, machine learning, but equivalent industry experience may be considered
2+ years of hands-on experience building and deploying applications that use Large Language Models (LLMs).
Experience in extracting structured JSON from text using LLMs and a deep understanding of Prompt Engineering.
Proficiency in classic NLP libraries for tasks like NER, text classification, and pre-processing.
Experience with LLM tracing, debugging and evaluation platforms such as Langfuse.
Excellent communication, organizational, problem-solving, debugging, and analytical skills.

Great to have

Experience in async processing of data at scale
Using frameworks like LangChain, HuggingFace, and backend web frameworks like FastAPI.
Expertise on core engineering skills - Cloud, microservice architecture, caching, and queuing.
Familiarity with concepts/tools as Docker, k8s, VCS, CI/CD
Previous experience in data extraction from specific domains (e.g., financial reports, news).

Responsibilities:

Deploy LLM based production grade solutions.
Fine-tune and adapt State of the art LLMs for specialized data extraction tasks. Develop innovative prompt engineering strategy and systems to maximize reliability and performance on confidential business documents.
Solve Engineering challenges that come along with LLM solutions, such as high latency, non-deterministic output, etc.
Implement and scale data processing pipelines that can process high volumes of complex documents with high accuracy and efficiency.
Integrate and manage LLM Observability to trace, debug, and monitor every extraction
Own systems end-to-end, including(but not limited to) designing, coding, monitoring, testing, CI/CD and on-call support.

AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.

In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.

Recruiting Scams and Fraud

We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:

AlphaSense never asks candidates to pay for job applications, equipment, or training.
All official communications will come from an @alpha-sense.com email address.
If you’re unsure about a job posting or recruiter, verify it on our Careers page.

If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.

Ready to apply?

AlphaSense India

View all jobs →

Software Engineer in Test III- Agentic AI

TraceLink, Inc · APAC - India - Pune

Apply now

Supply Network Products APAC-India-Pune Posted Apr 6, 2026

Company overview:

TraceLink’s software solutions and Opus Platform help the pharmaceutical industry digitize their supply chain and enable greater compliance, visibility, and decision making. It reduces disruption to the supply of medicines to patients who need them, anywhere in the world.

Founded in 2009 with the simple mission of protecting patients, today Tracelink has 8 offices, over 800 employees and more than 1300 customers in over 60 countries around the world. Our expanding product suite continues to protect patients and now also enhances multi-enterprise collaboration through innovative new applications such as MINT.

Tracelink is recognized as an industry leader by Gartner and IDC, and for having a great company culture by Comparably.

About Tracelink:

Digital information sharing is the future of medicine. TraceLink is building the first-ever cloud-based network and application platform that helps our global customers share crucial business information while collaborating on manufacturing and distributing billions of medical products

worldwide.

Who you are:

TraceLink is looking for talented full-time software engineers to build products at one of the fastest growing companies in the Pune area. If you’re self-motivated, intellectually curious, and motivated by designing and developing innovative products for global organizations, you could be a good fit for our team.

This is an excellent opportunity to learn and/or extend your knowledge in building large-scale multi-agent systems, define effective strategies for evaluating such systems, and gain hands-on experience in creating and testing non-deterministic software components.

Responsibilities :

The Software Development Engineer in Test assists in building and executing automated tests for

the Company's software products. The SDET will build testing tools to enable automated testing of

the TraceLink platform and application.

Execute tests on the TraceLink platform and application.
Extend and maintain automation frameworks.
Prepare and present clear reports on defect findings that allow developers to quickly and accurately reproduce problems and allow the Quality Engineering team to verify that fixes are complete.
Verify defect fixes.
Build tooling for automated testing of the TraceLink platform and application.
Programmatically interface testing tools with the TraceLink platform and application.
Create testing tools that can be configured and used by non-developers and can simulate real-world transaction volumes involving potentially millions of transactions per day.
Provide high-level analysis to apply appropriate technologies and architecture to solve conceptual problems
Research and remain informed of new technology and tools, and how such technologies could be applied at TraceLink.
Work closely with engineers building the core TraceLink product to ensure that testability concerns are factored into the design of the product.

Qualifications :

Candidates must possess the following skills and traits:

Bachelor's degree or foreign equivalent in computer science, software engineering, or related discipline.
2-5 years of progressive, post-baccalaureate experience in a test automation engineering role involving programmatic interaction with a system under test.
2-5 years of experience utilizing Java, JavaScript/TypeScript, Eclipse, Ant or Maven, Unix, and an automated unit test framework, such as TestNG.
2-5 years of experience developing against web services and Web-based APIs.
2-5 years of experience developing and executing formal test plans, data sets, and test configurations for assigned feature areas
2-5 years of experience testing web-based enterprise-class business applications.Helpful skills and experience:

Helpful skills and experience:

Familiarity with the concepts involved in running cloud-based applications on platforms such as Amazon Web Services.
Experience with the pharmaceutical industry.
Basic understanding of Large Language Models (LLMs) and generative AI systems.
Exposure to testing LLM-based applications, including prompt validation and response evaluation.
Familiarity with multi-agent LLM workflows and coordination patterns (e.g., agent orchestration, tool usage, chaining).
Experience designing test scenarios for AI systems, including edge cases, hallucination detection, and output consistency checks.
Knowledge of evaluation metrics for LLM outputs (e.g., accuracy, relevance, latency, and robustness).
Exposure to automation frameworks or tools for validating AI/ML model behavior.

Please see the Tracelink Privacy Policy for more information on how Tracelink processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise your privacy rights. If you have questions about this privacy notice or need to contact us in connection with your personal data, including any requests to exercise your legal rights referred to at the end of this notice, please contact Candidate-Privacy@tracelink.com.

Ready to apply?

Apply to TraceLink, Inc

TraceLink, Inc

View all jobs →

Senior Software Engineer in Test - Agentic AI

TraceLink, Inc · APAC - India - Pune

Apply now

Supply Network Products APAC-India-Pune Posted Apr 2, 2026

Company overview:

TraceLink’s software solutions and Opus Platform help the pharmaceutical industry digitize their supply chain and enable greater compliance, visibility, and decision making. It reduces disruption to the supply of medicines to patients who need them, anywhere in the world.

Founded in 2009 with the simple mission of protecting patients, today Tracelink has 8 offices, over 800 employees and more than 1300 customers in over 60 countries around the world. Our expanding product suite continues to protect patients and now also enhances multi-enterprise collaboration through innovative new applications such as MINT.

Tracelink is recognized as an industry leader by Gartner and IDC, and for having a great company culture by Comparably.

About Tracelink:

Digital information sharing is the future of medicine. TraceLink is building the first-ever cloud-based network and application platform that helps our global customers share crucial business information while collaborating on manufacturing and distributing billions of medical products worldwide.

Tracelink is looking for talented full-time software engineers to build products at one of the fastest-growing companies in the Pune area. If you’re self-motivated, intellectually curious, and motivated by designing and developing innovative products for global organizations, you could be a good fit for our team

Who you are:

Tracelink is looking for talented full-time software engineers to build products at one of the fastest-growing

companies in the Pune area. If you’re self-motivated, intellectually curious and motivated by designing and

developing innovative products for global organizations, you could be a good fit for our team.

This is an excellent opportunity to learn and/or extend your knowledge in building large-scale multi-agent systems, define effective strategies for evaluating such systems, and gain hands-on experience in creating and testing non-deterministic software components.

Responsibilities:

The Software Development Engineer in Test assists in building and executing automated tests for the Company's

software products. The SDET will build testing tools to enable automated testing of the TraceLink platform

and application.

Build and execute tests on the Tracelink platform and application.
Build and deploy services for automated testing of the Tracelink platform persistent store.
Execute performance tests on a Distributed Persistent Data store
Create testing tools that can simulate real-world transaction volumes.
Provide high-level analysis to apply appropriate technologies and architecture to solve conceptual problems
Stay curious, build Innovative solution to new age technical issues
Influence designs and decision with supporting data
Work closely with engineers building the core Tracelink product to ensure that testability concerns are factored into the design of the product.
Extend and maintain automation frameworks to enhance Test coverage
Prepare and present clear reports on defect findings that allow developers to reproduce problems and allow the Quality Engineering team to verify that fixes are complete quickly and accurately.
Programmatically interface testing tools with the TraceLink platform and application.
Work closely with engineers building the core TraceLink product to ensure that testability concerns are factored into the design of the product.
Research and remain informed of new technology and tools, and how such technologies could be applied at Tracelink.

Qualifications:

Candidates must possess the following skills and traits:

Bachelor's degree or foreign equivalent in computer science, software engineering, mechanical engineering, or related discipline.
5-8 years of progressive, post-baccalaureate experience in a test automation engineering role involving programmatic interaction with a system under test.
Experience utilizing Java, JavaScript/TypeScript, Eclipse, Ant or Maven, Unix, and an automated unit test framework, such as TestNG.
Experience developing against web services and Web-based APIs.
Experience developing and executing formal test plans, data sets, and test configurations for assigned feature areas.

Helpful skills and experience:

Familiarity with the concepts involved in running cloud-based applications on platforms such as Amazon Web Services.
Experience with the pharmaceutical industry.
Basic understanding of Large Language Models (LLMs) and generative AI systems.
Exposure to testing LLM-based applications, including prompt validation and response evaluation.
Familiarity with multi-agent LLM workflows and coordination patterns (e.g., agent orchestration, tool usage, chaining).
Experience designing test scenarios for AI systems, including edge cases, hallucination detection, and output consistency checks.
Knowledge of evaluation metrics for LLM outputs (e.g., accuracy, relevance, latency, and robustness).
Exposure to automation frameworks or tools for validating AI/ML model behavior.

Please see the Tracelink Privacy Policy for more information on how Tracelink processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise your privacy rights. If you have questions about this privacy notice or need to contact us in connection with your personal data, including any requests to exercise your legal rights referred to at the end of this notice, please contact Candidate-Privacy@tracelink.com.

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AI Engineer

Showpad · Pune

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Engineering Pune Posted Mar 31, 2026

Software Engineer (AI Focused)

Summary: We are seeking a Mid-Level Software Engineer to join our team and contribute to the design, development, and deployment of modern, AI-driven applications. This role will work across a cloud-native AWS environment using a combination of Node.js and .NET Core, with a strong emphasis on integrating and operationalizing AI capabilities. You will collaborate with cross-functional teams to build scalable services, integrate AI models, and help drive innovation in how AI is applied across our products.

Responsibilities:

Design, develop, and maintain scalable backend services using Node.js and .NET Core
Build and operate cloud-native applications within AWS (e.g., Lambda, ECS/EKS, S3, API Gateway)
Integrate AI/ML models into production systems, including APIs and data pipelines
Participate in model evaluation, benchmarking, and performance analysis
Contribute to fine-tuning and optimization of AI models for specific business use cases
Collaborate with data scientists and AI engineers to productionize models
Implement and maintain CI/CD pipelines and deployment workflows
Ensure high standards of code quality, testing, and observability
Troubleshoot, debug, and optimize system performance
Contribute to architectural decisions and continuous improvement initiatives

Qualifications:

3–6 years of professional software engineering experience
Strong development experience in Node.js (JavaScript/TypeScript) and .NET Core / C#
Hands-on experience with AWS cloud services
Experience building and consuming RESTful APIs and/or microservices
Familiarity with containerization (Docker) and orchestration (Kubernetes or ECS)
Solid understanding of software engineering principles, design patterns, and testing practices
Practical experience working with AI/ML systems in production environments
Understanding of model evaluation techniques and fine-tuning approaches
Experience working with LLMs or modern AI frameworks (e.g., OpenAI, Hugging Face, LangChain, Semantic Kernel) is highly desirable
Familiarity with vector databases, embeddings, or RAG architectures is a plus
Strong problem-solving and analytical thinking
Ability to work collaboratively in a cross-functional team
Good communication skills, with the ability to explain technical concepts clearly
Self-motivated with a willingness to learn and adapt in a rapidly evolving AI landscape

What We Offer:

Opportunity to work on cutting-edge AI-driven products
Collaborative and innovative engineering culture
Flexible working arrangements
Competitive salary and benefits package
Career growth opportunities in a rapidly expanding domain

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Agentic AI Engineer

TraceLink, Inc · APAC - India - Pune

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Supply Network Products APAC-India-Pune Posted Mar 23, 2026

Company overview:

TraceLink’s software solutions and Opus Platform help the pharmaceutical industry digitize their supply chain and enable greater compliance, visibility, and decision making. It reduces disruption to the supply of medicines to patients who need them, anywhere in the world.

Founded in 2009 with the simple mission of protecting patients, today Tracelink has 8 offices, over 800 employees and more than 1300 customers in over 60 countries around the world. Our expanding product suite continues to protect patients and now also enhances multi-enterprise collaboration through innovative new applications such as MINT.

Tracelink is recognized as an industry leader by Gartner and IDC, and for having a great company culture by Comparably.

About the Role

We are looking for an early-career Agentic AI Engineer to help build and evolve AI-powered systems that automate and improve supply chain workflows. In this role, you’ll work alongside experienced engineers and data scientists to develop agentic AI / GenAI features, integrate knowledge-based retrieval (RAG) patterns, and contribute to testing and validation approaches for AI systems that can behave in non-deterministic ways.

This is a strong opportunity for someone who is eager to grow in both software engineering and applied GenAI, and wants to work on real-world enterprise problems in supply chain and (optionally) life sciences.

Key Responsibilities

Support the design and implementation of agentic AI / GenAI systems that assist in automating supply chain workflows.
Build and maintain backend services and integrations using Python and/or Java.
Contribute to multi-agent workflows, such as tool execution, routing, agent collaboration patterns, and task orchestration.
Assist in creating testing and validation strategies for AI systems, including evaluation datasets, regression testing, and behavior monitoring.
Help implement and improve knowledge base systems, including RAG pipelines, grounding strategies, and retrieval quality improvements.
Contribute to experimentation with:
- lightweight fine-tuning approaches for small language models (SLMs)
- reinforcement-learning-inspired improvement loops for NLP/GenAI tasks (where applicable)
Partner with product and domain teams to understand supply chain needs and translate them into working software.
Participate in code reviews, documentation, and operational support to ensure high-quality production systems.

Required Qualifications

Master’s/Bachelors degree in Data Science, Artificial Intelligence, Machine Learning, Computer Science, or a closely related discipline.
0–2 years of professional experience in software engineering, AI engineering, or ML engineering (internships and co-ops count) OR equivalent experience
Strong programming skills in Python and/or Java, including writing production-quality code.
Familiarity with cloud platforms such as AWS, GCP, or Azure (academic, personal, or internship experience is acceptable).
Interest or exposure to Generative AI concepts, such as LLMs, agent workflows, tool calling, or multi-step reasoning.
Understanding of core engineering fundamentals:
- APIs and services
- basic distributed systems concepts
- debugging and performance basics
- data structures & algorithms
Ability to learn quickly, take feedback well, and collaborate effectively in a team environment.

Preferred Qualifications

Coursework, projects, or hands-on experience with agentic or multi-step AI systems, including non-deterministic behavior patterns.
Exposure to designing knowledge base solutions, such as:
- Retrieval-Augmented Generation (RAG)
- embedding-based search
- hybrid search approaches
- reranking or relevance evaluation
Experience or academic background in one of the following:
- fine-tuning small language models (SLMs)
- training or adapting NLP models
- Reinforcement learning concepts applied to language systems
Exposure to event-driven or reactive systems
Interest in supply chain domains (logistics, manufacturing, procurement, etc.).
Knowledge of the life sciences supply chain is a plus, but not required.

What Success Looks Like

You can take a defined task (e.g., building a new RAG retriever, improving evaluation coverage, or implementing a new agent tool) and deliver a working solution with support from senior engineers.
You write clean, testable code and steadily improve your ability to debug real-world production issues.
You contribute to AI system reliability through experiments, evaluation improvements, and thoughtful engineering.

Who You Are

Curious, motivated, and excited to build AI-driven products that ship to real users.
Comfortable working with a mix of predictable engineering tasks and emerging AI workflows.
Strong team player with a growth mindset and a willingness to learn.

Please see the Tracelink Privacy Policy for more information on how Tracelink processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise your privacy rights. If you have questions about this privacy notice or need to contact us in connection with your personal data, including any requests to exercise your legal rights referred to at the end of this notice, please contact Candidate-Privacy@tracelink.com.

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AI Solutions Engineer II

Blueshift · Pune, India

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Engineering Pune, India Posted Mar 19, 2026

About Us

Blueshift is the Intelligent Customer Engagement Platform (CEP), headquartered in San Francisco, that empowers leading B2C brands to drive truly personalized, 1:1 marketing across every channel. Founded by repeat entrepreneurs who previously built Mertado (acquired by Groupon) and were part of the early team at Kosmix (acquired by Walmart), Blueshift leverages AI, including Predictive, Generative, and Agentic AI, to automate customer engagement for clients like ClearScore, LendingTree, Udacity, and U.S. News. Backed by top-tier VCs including Nexus Venture Partners, Storm Ventures, and SoftBank Venture Asia, the company has raised a total of $65 million in venture funding and is consistently recognized as a market leader and a Deloitte Technology Fast 500 award recipient.

Blueshift is actively scaling its development center in Pune, India. As part of our team, you will drive innovation in cutting-edge technologies including machine learning, artificial intelligence, big data, and large-scale distributed data systems. This is an exciting career path for motivated individuals looking to build complex, impactful solutions that define the future of customer engagement.

AI Solutions Engineer II

As a Software Engineer in the AI Solutions team, you occupy a unique techno-functional position. You are not a researcher; you are an implementation specialist and problem-solver. You bridge the gap between our core AI infrastructure and real-world customer impact. You aren't just writing code; you are applying data engineering, analysis, and AI knowledge to help global brands realize the full potential of AI-driven marketing.

Responsibilities

End-to-End Solution Delivery: Lead the full lifecycle of custom AI projects—from initial customer design and technical architecture to testing and production implementation.
Production Stewardship: Take ownership of the "last mile" of delivery. This includes triaging technical tickets, analyzing logs (Datadog/Kibana), and debugging production issues in customer-specific AI workflows.
Applied Data Engineering: Use SQL, Python, and Spark to transform disparate, messy customer datasets into clean, high-performing inputs for our AI engine.
Stakeholder Collaboration: Partner directly with customer marketing teams and internal Product Managers to explain technical logic and ensure AI solutions meet business objectives.
Cross-Functional Collaboration: Partner with the other teams across Blueshift to optimize data pipelines and debug distributed systems.
Agentic Productivity: Integrate AI agents (like GitHub Copilot or custom internal agents) into the development lifecycle to accelerate code generation, testing, and debugging.
Innovation & POCs: Develop Proof of Concepts (POCs) for AI experiments, benchmarking results to simplify and automate customer marketing ideas.

Requirements

Software Engineering Fundamentals: 4+ years of experience in a production environment. Strong grasp of Object-Oriented Programming (OOP), Git, and the full SDLC.
The "Polyglot" Mindset: Expert-level SQL and Python are mandatory. You must have the agility to work in Ruby and Scala/PySpark as the solution requires.
Production Grit: Proven experience in a ticket-solving environment. You are comfortable navigating existing codebases to identify bugs, perform root-cause analysis, and deploy stable fixes.
Analytical Mindset: You are a "Data Analyst with an Engineering heart." You enjoy digging into data tables to understand why a recommendation was made and how to optimize it.
Customer Centricity: Experience working directly with customers or marketing teams. You can communicate technical concepts to non-technical stakeholders and manage project timelines independently.
Experience Plus: Direct experience with Recommender Systems.

Nice to Have

Direct experience with AWS Data Platforms, Jenkins, and Docker.
Background in the MarTech or AdTech industry.

Perks and Benefits

Competitive salary along with stock option grants.
Excellent hospitalisation, personal accident, and term insurance coverage.
Located in a top-notch facility in Baner - one of the best neighbourhoods for tech startups.
Daily catered breakfast, lunch, and snacks along with well-stocked pantry
A team that cares about you.

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Senior Information Security Engineer

Modulr · Pune

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Technology - IT Support & Security Pune Posted Mar 11, 2026

About us

At Modulr, our vision is a world where all businesses are powered by embedded payments. Modulr enables businesses, from SMEs to Enterprise, initially across the UK and Europe to efficiently pay-in, collect and disburse funds instantly via a range of payment schemes, accounts, and card products.
We have created an industry-leading API platform with comprehensive online tools and access, to meet the demands of daily business payments. We have two routes to market. Our Core Business Payments product allows customers in any sector to connect to us and our expanding network of accounting and payroll platforms, including Sage, Xero, BrightPay and IRIS to automate payments. Our Vertical Solutions targets a growing range of industry verticals which directly connect their IT platforms to our APIs and webhooks. We solve complex payment problems for hundreds of clients in a range of industries, including Travel, Lending, Wage Advance, and Investment & Wealth.

We are deeply integrated into the payment eco-system. In the UK, we are direct participants of Faster Payments and Bacs. Modulr hold settlement accounts at the Bank of England. Our payment network connectivity includes CHAPS, Open Banking, SEPA, SWIFT and account issuance in multiple currencies. We are principal issuing members of Visa and Mastercard schemes across UK and Europe.

Our regulatory permissions and governance structure are the foundations of our business. We are regulated and supervised as an Authorised Electronic Money Institution (AEMI) in the UK by the Financial Conduct Authority and in the Netherlands by De Nederlandsche Bank.
Our founding team has a wealth of experience in the payments industry and growing successful businesses. Modulr is backed by the venture arms of payments giants PayPal and FIS, as well as growth investors Blenheim Chalcot, General Atlantic, Frog Capital and Highland Europe.
Modulr now has over 400 employees spread globally across offices in London, Edinburgh, Amsterdam, and Mumbai.

Modulr values
•Building the extraordinary; going that extra mile.
•Owning the opportunity; be passionate and proud of the time you invest.
•Move at pace; reach goals faster whilst supported on your career journey.
•Achieve it together, working collaboratively and being a Modulite.

The team
The Information Security team at Modulr is responsible for protecting the organisation’s systems, data and customers through a combination of technical controls, governance, assurance and incident response. The team works across cloud, network and corporate environments to ensure security is embedded into how technology is designed, built and operated.
This role reports to the Information Security Director and works closely with Platform Engineering, DevOps, Infrastructure and Product teams. Security operates as a business enabling function, providing practical guidance, deploying and managing controls, and supporting secure architectural decisions rather than acting as a separate silo.
You will collaborate regularly with engineering squads to integrate security into delivery pipelines, improve control effectiveness, and enhance detection and response capability. The team also partners with Risk, Compliance and Audit functions to ensure controls are measurable, defensible and aligned to regulatory expectations.
This role offers the opportunity to take ownership of key technical security controls and contribute directly to strengthening Modulr’s cloud and network security posture.

Summary
The Security Engineer plays a hands on role in implementing and managing security controls across cloud, network and infrastructure environments. The role supports continuous improvement of preventative and detective capabilities, ensuring controls are reliable, scalable and aligned to operational realities.
You will deploy, maintain and automate security controls where possible, working closely with DevOps and Platform teams to embed security into infrastructure and delivery workflows. The position requires practical technical depth, sound judgement, and the ability to balance risk reduction with engineering velocity and system usability.

Specific duties
•Own the design, implementation, and ongoing operation of information security controls across cloud, application, platform, and corporate environments.
•Treat security controls as internal platform capabilities, ensuring they are scalable, reliable, and easy for engineering teams to consume.
•Work closely with software engineering, platform, and data teams to embed security controls into systems, pipelines, and shared services.
•Design and promote secure by default patterns and guardrails to reduce risk without slowing delivery.
•Identify gaps, overlaps, and weaknesses in existing controls and lead engineering driven improvements.
•Actively participate in the security incident response process, supporting detection, investigation, containment, and remediation activities.
•Ensure security controls provide high quality detection, alerting, and forensic signals to support effective incident response.
•Use incident learnings to drive durable improvements in control design, coverage, and automation.
•Define and track meaningful technical measures of control effectiveness and detection quality.
•Apply automation, including AI and agent-based techniques where appropriate, to improve security engineering efficiency, detection, and response.
•Evaluate risks, failure modes, and abuse scenarios introduced by new security controls and automation before production use.
•Operate and integrate security tooling with logging, monitoring, and engineering platforms, prioritising signal quality and simplicity.
•Partner with governance and risk teams by providing technical input, evidence, and assurance, without owning policy or risk acceptance decisions.
•Contribute technical expertise to audits and regulatory engagements in a regulated fintech environment.

About you
•You are an experienced information security engineer with minimum 5 years strong hands-on experience designing, building, and operating security controls in modern cloud native environments including CNAPP and ZTNA services.
•You have owned security controls end to end, from design and implementation through to production operation and continuous improvement.
•You have worked closely with software engineering and platform teams and can influence technical decisions through credibility and pragmatism.
•You think in systems, favouring secure by default patterns and scalable solutions over bespoke or ticket driven security work.
•You have practical experience contributing to security incident response and understand how protection, detection, and response capabilities are engineered.
•You are comfortable making and defending technical trade-offs where security, reliability, and delivery pressures intersect.
•You are pragmatic, risk focused, and outcome driven.
•You can communicate complex security concepts clearly to both technical and non-technical audiences.
•You are comfortable operating in regulated environments and understand the importance of evidence, consistency, and operational discipline.

Nice to haves
•Experience in fintech or financial services environments.
•A background in software or platform engineering prior to specialising in security.
•Experience building or contributing to internal security platforms or shared services.
•Practical exposure to AI, ML, or agent-based techniques applied to security or adjacent engineering problems.
•Experience improving detection engineering, alert quality, or security automation at scale.
•Familiarity with audit or regulatory engagement from a technical contributor perspective.

ModInclusion
At Modulr, we are working hard to build a more positive diverse and inclusive culture that helps everyone to feel they belong and can truly bring their whole self to work. Not only is it the right thing to do for everyone in the Modulr team, it’s also the right thing to do for our business, the community we operate in and attracting future talent. As part of our approach, we actively welcome applications from candidates with diverse backgrounds.

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Senior AI Engineer for XFORM (Automation)

Abacus Insights · Pune, India

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Engineering Pune, India Posted Mar 10, 2026

About Us

Abacus Insights is transforming how data works for health plans. Our mission is simple: make healthcare data usable, so the people responsible for care and cost decisions can act faster, with confidence.
We help health plans break down data silos to create a single, trusted data foundation. That foundation powers better decisions —so plans can improve outcomes, reduce waste, and deliver better experiences for members and providers alike.

Backed by $100M from top investors, we’re tackling big challenges in an industry that’s ready for change. Our platform enables GenAI use cases by delivering clean, connected, and reliable healthcare data that can support automation, prioritization, and decision workflows—and it’s why we are leading the way.

Our innovation begins with people. We are bold, curious, and collaborative—because the best ideas come from working together. Ready to make an impact? Join us and let's build the future together.

About the Role:
As a Senior AI Engineer, you will help architect, build and implement our AI platforms, working closely with data quality engineers, data/software engineers, platform engineers, DevOps, product owners and business. You provide technical leadership for multiple, diverse, and geographically distributed teams. You will coach and guide teams to enable future success. Also be a partner with engineering managers, directors and VP on strategic initiatives and future business growth opportunities especially around AI and ensuring the engineering organization can scale to meet the need.

As a member of the engineering team, you are responsible for coaching, mentoring, and driving change to enable us to better deliver and innovate in an agile environment.

Your day to day:

Help shape the direction of our applied AI areas and intelligence features in our products. Drive the deployment of state-of-the-art AI models and systems that directly impacts on the capabilities and performance of Abacus’s products and services (e.g., Abacus Agents, MCP, SQL and RAG agents and tools, etc.)
Develop novel data collection, fine-tuning, and LLM technologies that achieve optimal performance on specific tasks and domains
Design and implement ML/AI pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and model evaluation, enabling rapid experimentation, iteration and self-healing
Work closely with cross-functional teams, including AI engineers, data engineers, and product teams, to deliver impactful AI solutions that enhance user productivity and satisfaction
Build scalable, reusable backend systems to support GenAI products across the company. Develop robust logging, telemetry, and evaluation harnesses to ensure reliable model and GenAI system performance
Skillful at driving critical projects (e.g. AI and data engineering Innovation, Development Productivity and Benchmarking)
Meaningful experience in the world of Data and AI
Capable of credible customer interactions
Mentoring development team members to ensure delivered solutions adhere to the software architecture strategy, coding standards, and established organizational policies and procedures
Participating in software architectural discussions, influencing decisions, and collaborating with peers to maintain consistency across the organization
Identifying people and process improvement strategies for the Agile/Scrum team(s), especially for AI projects/teams where innovation and iteration are critical
Communicate organizational updates to ensure teams adhere to the established policies and procedures
Ensure projects are completed on time and according to our quality standards
Facilitates communication upward around architecture, design, and implementation objectives
Proven experience in leading software development teams or projects
Excellent knowledge of software development design, QA and test automation, and experience with agile development methodologies
Demonstrated knowledge of Cloud Architecture, AI Architecture, Agents/Agentic systems, Massive Parallel Processing (MPP) compute frameworks for Data+AI platforms, Security, and MCP/API based services
Good understanding of Incident Management, Configuration Management, Operational efficiency and Customer Escalation Management preferred. Can manage the balance of deliveries on our roadmap commitments while dealing with interruptions and client escalations
Good experience with open source
Coach and mentor software and AI developers, develop staff skills, provide continuous feedback
Has relentlessly high standards (is never satisfied with the status quo)
Responsible for protecting, securing, and proper handling of all confidential data held by Abacus to ensure against unauthorized access, improper transmission, and/or unapproved disclosure of information that could result in harm to Abacus or our clients.

What you bring to the team:

Minimum of 3 years of ML/AI engineering experience in high-velocity, high-growth companies. Alternatively, a strong background in relevant ML/AI research in academia will be considered as contributing qualification
Minimum of 3 years of experience as a software developer at some point in career
Minimum of 2 years of experience with Databricks, Mosaic AI Gateway and associated technologies in Databricks stack related to Data and AI engineering
Strong track record of working with language modeling technologies and GenAI. This could include the following: Developing generative and embedding techniques, modern model architectures, fine tuning / pre-training datasets, evaluation benchmarks, Agents and Agentic workflows (e.g. orchestration, workflow management, observability, debugging), RAG, SQL Agents, MCP, etc.
Proficiency in Python, TensorFlow/PyTorch, and scalable ML/AI architecture
Ability to drive end-to-end model and system development, from research and prototyping to deployment and monitoring
Strong analytical and problem-solving skills, with a passion for improving AI-driven user experiences
Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews and deployment
Experience and good understanding of designing scalable, distributed systems for running small to medium scale data processing applications and services (10s – 100s of TBs of data)
Possesses a level of breadth and depth of software and AI development experience that allows for influence and competence in technical discussions with internal and external stakeholders
Solid understanding of roles adjacent to the software development (product management, project management, client delivery, operations etc.). Ability to adapt to these roles as defined at Abacus and work with others in these roles
Proven record of success of driving and/or leading engineering teams/projects towards developing production grade systems supporting customers
Nice to have experience with, but not required: Snowflake, FHIR, Healthcare Data exposure

What you’ll get in return

Competitive Leave & Benefits
Comprehensive health coverage
Equity for every employee – share in our success
Growth-focused environment – your development matters here

Work arrangements

Standard hours: 8 hours/day, 5 days/week
Location: Pune, Hybrid (3 days a week in office)
Shift: 12pm-9pm IST

Our Commitment as an Equal Opportunity Employer

As a mission-led technology company helping to drive better healthcare outcomes, Abacus Insights believes that the best innovation and value we can bring to our customers comes from diverse ideas, thoughts, experiences, and perspectives. Therefore, we dedicate resources to building diverse teams and providing equal employment opportunities to all applicants. Abacus prohibits discrimination and harassment regarding race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

At the heart of who we are is a commitment to continuously and intentionally building an inclusive culture—one that empowers every team member across the globe to do their best work and bring their authentic selves. We carry that same commitment into our hiring process, aiming to create an interview experience where you feel comfortable and confident showcasing your strengths. If there’s anything we can do to support that—big or small—please let us know.

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CA

AI Engineer

Capco · India - Bengaluru; India - Pune

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Tech & Engineering India - Bengaluru Posted Feb 24, 2026

Job Title: GenAI Developer/ Engineer

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery.

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

Location - Bangalore

Experience - 6 to 10

Skills and Qualifications:

Preferred skills:

Programming: Advanced Python (async programming, OOP, REST APIs, FastAPI, Flask, Pandas, NumPy)

GenAI Frameworks: LangChain, LlamaIndex, Haystack, Semantic Kernel

Machine Learning and AI: Snowflake Cortex, TensorFlow, PyTorch

Key Responsibilities:

Develop scalable Python applications focused on GenAI
Knowledge of Snowflake Cortex is a big plus.
Learn and apply techniques like document chunking and embeddings
Proficient in both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra) databases, including schema design and optimization.
Design, develop, and fine-tune applications built around foundation models (e.g., LLMs, multimodal models) for specific business needs
Implement and experiment with generative AI techniques, including but not limited to Retrieval-Augmented Generation (RAG) and prompt engineering
Lead the implementation of intelligent autonomous agents and multi-agent systems capable of complex decision-making, task execution, and interaction with external systems
Utilize and contribute to agentic AI frameworks (e.g., LangChain, AutoGen, Semantic Kernel, Crew AI) to build robust and scalable AI agents
Develop and integrate Model Context Protocol (MCP) solutions to standardize how AI applications access and utilize external data sources, tools, and real-time information
Lead the development of full-stack applications that integrate generative AI models and agentic systems, ensuring seamless user experiences
Work with front-end technologies (e.g., React, Angular, Vue.js, JavaScript, TypeScript, HTML, CSS) and back-end frameworks (e.g., Python with Flask/Django/FastAPI, Node.js, Go)
Design and implement scalable RESTful APIs and microservices to expose AI functionalities
Deploy, manage, and optimize AI/ML workloads and full-stack applications on at least one major cloud platform (AWS, Azure, or GCP)
Implement LLMOps/MLOps and DevOps best practices for continuous integration, continuous delivery (CI/CD), model deployment, monitoring, and lifecycle management
Follow coding best practices and contribute to testing and documentation
Stay abreast of the latest advancements in generative AI, agentic systems, foundation models, and related fields through continuous research and experimentation
Collaborate effectively with cross-functional teams, including product managers, data scientists, researchers, and other engineers
Communicate effectively with both technical and non-technical team members, ensuring alignment and understanding across all project phases.

Ready to apply?