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.

As a Senior Software Engineering Manager with a strong technical background in building and architecting large-scale, multi-tenant SaaS platforms, you possess the leadership maturity to manage both individual contributors and other managers, effectively translating organizational strategy into clear, actionable team goals. You are specifically driven to manage and grow high-performing engineering teams within the SaaS platform organization in Bangalore. Your expertise includes deep proficiency in high-load distributed systems and a hands-on understanding of modern cloud-native infrastructures.

What You Will Do

Build and Grow Our Bangalore Agent Platform Team: Be the key leader for our Agent Platform engineering team in India. Own the hiring, management, and retention of a high-performing team, ensuring local growth aligns with our global SaaS platform objectives.

Lead Execution and Delivery: Drive the execution of team projects. Partner with individual contributors (ICs) to define tasks, track progress, and ensure timely, high-quality delivery. Manage cross-team dependencies and coordinate with stakeholders (Product Managers, senior leadership) to guarantee alignment and clear communication on status and risks.

Drive Technical Strategy: Oversee the architectural design and scalability for Agent Platform SaaS services. These services interact with millions of agents and process billions of daily requests. You will rely on designated Tech Leads and senior team members for detailed design and architecture.

Ensure Cross-Functional Success: Partner with the Agent Platform engineering leadership, Product Management, and UX designers to strategically define system requirements and deliver features that protect millions of endpoints worldwide.

Foster a World-Class Engineering Culture: Promote engineering excellence and continuous learning. Coach individuals and other managers to achieve their professional goals.

Engage with Leadership: Regularly interact with senior management and executives to influence decisions and gain acceptance for strategic initiatives.

Manage a Hybrid Team: Lead the local Bangalore team within our hybrid work model, fostering strong in-person collaboration and a powerful sense of belonging.

What Experience or Knowledge You Should Bring

Leadership Track Record: A minimum of 8 years of progressive software engineering experience, including 3–5 years of increasing managerial responsibility, with at least 2 years operating at the Manager level or higher.

Management & Development Expertise: Proven success in managing, hiring, mentoring, and developing high-performing engineering teams of 8+ direct reports, including experience managing internationally distributed and cross-functional IC teams.

Core Technical Skills: Strong proficiency and an ability to lead technical strategy in major programming languages such as Java, Go, or Python, coupled with a deep understanding of software design principles.

Distributed Systems & Cloud Scale: Deep background in architecting, building, and scaling high-load, resilient distributed systems within public cloud platforms like AWS or GCP.

Infrastructure & Observability: Solid hands-on and strategic experience with modern infrastructure tooling, including Docker, Kubernetes, Helm, and infrastructure-as-code (e.g., Terraform). Experience with modern monitoring and observability stacks is a strong plus.

Product Delivery & CI/CD: Comprehensive knowledge of the entire SaaS product development lifecycle. Expert-level understanding and application of modern CI/CD practices and tooling, such as Github Actions or ArgoCD, to drive engineering velocity and quality.

Strategic Communication & Business Acumen: Exceptional verbal and written communication, negotiation, and stakeholder management skills. Demonstrated ability to translate complex technical decisions into clear business outcomes and align engineering execution with broader company strategy.

Why SentinelOne?

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

• Flexible working hours and hybrid/remote work model.
• Flexible Time Off.
• Flexible Paid Sick Days.
• Global gender-neutral Parental Leave (16 weeks, beyond the leave provided by the local laws) 
• Generous employee stock plan in the form of RSUs (restricted stock units)
• On top of RSUs, you can benefit from our attractive ESPP (employee stock purchase plan)
• Gym membership/sports gears by Cultfit.
• Wellness Coach app, with 3,000+ on-demand sessions, daily interactive classes, audiobooks, and unlimited private coaching. 
• Private medical insurance plan for you and your family.
• Life Insurance covered by S1 (for employees)
• Telemedical app consultation (Practo)
• Global Employee Assistance Program (confidential counseling related to both personal and work life matters)
• High-end MacBook or Windows laptop.
• Home-office-setup allowances (one time) and maintenance allowance. 
• Internet allowances.
• Provident Fund and Gratuity (as per govt clause)
• NPS contribution (Employee contribution)
• Half yearly bonus program depending on the individual and company performance.
• Above standard referral bonus as per policy.
• LinkedIn Business platform for Hard/Soft skills Training & Support for your further educational activities/trainings
• Sodexo food coupons.

About Us

Observe.AI is the AI Agents platform for customer experience, designed to help organizations deliver faster, smarter, and more efficient customer service at scale. The platform enables businesses to deploy specialized AI agents that autonomously execute work across the full CX lifecycle—from handling customer conversations to supporting frontline teams and optimizing operations.

Each AI agent is purpose-built for a specific role, equipped to understand context, make decisions, take action, and continuously improve outcomes. This allows organizations to increase resolution speed, elevate service quality, and reduce operational costs while empowering your frontline team to focus on higher-value work.

Built on a CX-native foundation, Observe.AI helps leading brands like DoorDash, Affordable Care, Signify Health, and Verida improve customer satisfaction, boost agent productivity, and deliver consistent, scalable performance across every customer interaction.

Why Join Us

At Observe.AI, you will report to the VP of Information Security and have the opportunity to design and implement cloud/infrastructure security from scratch. You will work with other security and infrastructure teams to create secure access, networks, defence-in-depth, IAM, and address vulnerabilities and misconfigurations across OS, Infrastructure, and cloud. You will work closely with security operations/incident response teams to provide technical leadership. You will also mentor other junior infrastructure security professionals.

What you’ll be doing

Infrastructure Security Leadership & Strategy

• Develop and document comprehensive security policies, reference architectures, design patterns, and the strategic roadmap for Infrastructure Security.
• Keep abreast of the latest network and infrastructure security trends and best practices.
• Collaborate with engineering, AWS and architecture teams to ensure all proposed designs meet both business objectives and stringent security requirements.
• Partner with stakeholders across the organization to integrate and stay updated on the latest infrastructure designs.

Technical Design & Architecture

• Provide technical leadership to infuse security into all infrastructure and network designs across AWS cloud, SaaS applications, and IT environments.
• Design and re-architect the AWS infrastructure to implement robust security measures, including network segmentation, deep packet inspection, firewalls, VPNs, and VPC configurations.
• Design and develop secure access and network solutions for production environments, owning the overall access management framework.
• Act as the security point of contact for Change Management, reviewing all new infrastructure designs
• Own all security components and implement them such as PAM, Access Analyzer, Identity center and RBAC, Guard Duty, WAF, PAM modules
• Design and architect integrations with security tools such as SIEM, Cloud workload protection tools
• Represent Infrastructure Security during regulatory and compliance audits (PCI, SOC, ISO, HITRUST, etc.).
• Work with corporate IT to implement and continuously review and improve network and security controls within the corporate environment.

What you’ll bring to the role

• 9+ Years of experience across Software engineering, network security, and AWS Security
• Proven track record as an experienced Infrastructure Security designer and implementing secure Cloud, networks, and corporate IT infrastructure
• Experience working at a SAAS product company
• Experience leading infrastructure security teams or security focussed SRE teams
• Robust understanding of Network designs and protocols, it is good to have CCNA and other network certifications
• Ability to multi-task and run multiple projects
• Being comfortable with working off times (security incidents cannot be planned)
• Ability to make process under ambiguous situations without clarity
• First-hand experience with major cloud providers, specifically AWS
• Experience in large-scale systems and N-tier architectures
• Excellent communication skills

Perks & Benefits

• Excellent medical insurance options and free online doctor consultations
• Yearly privilege and sick leaves as per Karnataka S&E Act
• Generous holidays (National and Festive) recognition and parental leave policies
• Learning & Development fund to support your continuous learning journey and professional development
• Fun events to build culture across the organization
• Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.)

Our Commitment to Inclusion and Belonging

Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.

We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply.

If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.

About the Role

We’re looking for a Senior Software Development Engineer in Test with extensive industry experience to define and execute the design, development, and maintenance of Fivetran’s test automation tools and framework using reliable and scalable techniques.

As a Senior SDET, you will focus on solving complex testing difficulties by designing, developing and improving automation and reporting frameworks. You will invest in improving test stability and performance of the framework by developing innovative solutions to boost Fivetran’s testing efficiency. You will also coach Fivetran quality engineers to be the best in class automation engineers, and will continuously work with the team to ensure high standards for automation. The ideal candidate will be highly technical, detail-oriented, creative, motivated, and focused on achieving results.

This is a full-time position based out of our Bangalore office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

Technologies You’ll Use

• Java11, JUnit5,
• Docker and Kubernetes
• AWS, GCP
• Terraform, WireMock, RestAssured
• Bazel, BuildKite

What You’ll Do

• Review requirements, specifications and technical design documents to provide meaningful, risk-focused feedback.
• Design and evolve scalable automation frameworks in Java with a strong emphasis on reliability, performance, and data correctness.
• Write high-signal test strategies for complex features and automate them across multiple environments.
• Improve CI/CD pipelines by building robust validation layers that prevent silent failures and regressions.
• Build internal tools and proof-of-concepts using AI/LLM technologies to:
• Accelerate debugging and failure triaging
• Generate high-quality test scenarios
• Detect flaky patterns or regression risks
• Improve log analysis and root-cause identification
• Enhance developer and QA productivity
  
  
• Design AI-assisted workflows that integrate seamlessly into the existing automation and release pipelines.
• Experiment with and implement agent-based systems or LLM-powered tooling that streamline development and testing processes.
• Actively measure and improve engineering impact through reliability metrics, automation efficiency, and defect prevention signals.
• Collaborate with engineering teams to drive a culture of quality ownership and automation-first thinking.

Skills We’re Looking For

• 5+ years of experience in the software industry with strong passion for quality, automation, and engineering excellence.
• Deep understanding of OOP principles and strong proficiency in Java.
• Expertise in designing scalable automation frameworks and identifying negative, edge, and high-risk scenarios.
• Strong understanding of distributed systems risks such as schema drift, idempotency failures, data inconsistencies, and race conditions.
• Hands-on experience with cloud platforms (AWS, GCP, Azure) and containerized environments (Docker, Kubernetes).
• Experience building and maintaining CI/CD pipelines with tools such as Jenkins, CircleCI, Buildkite.
• Experience working with backend automation frameworks.
• Knowledge of database testing and ETL/data pipeline validation is a strong plus.
  
  AI & Productivity Engineering

• Demonstrated ability to leverage AI/LLM tools to significantly accelerate development, debugging, test design or automation activities.
• Experience building AI-assisted tools, workflows, or agents that integrate into engineering pipelines.
• Ability to design prompt strategies, validate LLM outputs rigorously and implement safeguards to prevent hallucinations or unsafe automation.
• Experience streamlining workflows using AI to improve measurable engineering productivity.
• Comfortable feeding, tuning and orchestrating AI agents to solve real engineering problems.
• Strong outcome orientation, measures success through impact, reliability gains and velocity improvements rather than output volume.

#LI-HYBRID #LI-VM1

Overview

Join our team as an impact-focused engineer where you will leverage your software engineering expertise to develop scalable and production-grade solutions across diverse platforms. Collaborating seamlessly with cross-functional product engineering teams, you will drive innovation and maximize impact for stakeholders and billions of users worldwide. Your role is critical in merging business needs with cutting-edge technology to create meaningful and transformative digital experiences.

Responsibilities

• Collaborate with product, design, operations, and infrastructure teams to build innovative application experiences.
• Develop reusable software components to interface with hyperscaler back-end platforms.
• Analyze and optimize code to enhance quality, efficiency, and performance.
• Lead complex technical or product initiatives and provide technical guidance to peers.
• Architect efficient and scalable systems for complex applications.
• Identify and address performance and scalability challenges.
• Work across multiple coding languages and technologies, ensuring robust and maintainable solutions.
• Establish ownership of components, features, or systems with comprehensive end-to-end understanding.

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience.
• 7+ years of programming experience in a relevant language.
• Experience in building maintainable and testable code bases, including API design and unit testing.
• Proven ability to set technical direction for a team, drive consensus, and foster successful cross-functional partnerships.
• Experience with scripting languages such as Python, JavaScript, or Hack.
• Proficiency in programming languages like C, C++, Java, Swift, or Kotlin.
• 5+ years of experience building large-scale applications or equivalent expertise.
• Proven track record in building and shipping high-quality, reliable software solutions.
• Experience enhancing quality through code reviews, testing, monitoring, and proactive improvements.

Preferred Qualifications

• Exposure to architectural patterns of large-scale software applications.
• Demonstrated project completion at large scope with high-quality outcomes.
• Ability to integrate AI tools to optimize workflows and drive measurable impact, such as efficiency gains and quality improvements.
• Ongoing development in AI skills, including prompt engineering, agent orchestration, and keeping abreast with emerging AI technologies.

About Us

Observe.AI is the AI Agents platform for customer experience, designed to help organizations deliver faster, smarter, and more efficient customer service at scale. The platform enables businesses to deploy specialized AI agents that autonomously execute work across the full CX lifecycle—from handling customer conversations to supporting frontline teams and optimizing operations.

Each AI agent is purpose-built for a specific role, equipped to understand context, make decisions, take action, and continuously improve outcomes. This allows organizations to increase resolution speed, elevate service quality, and reduce operational costs while empowering your frontline team to focus on higher-value work.

Built on a CX-native foundation, Observe.AI helps leading brands like DoorDash, Affordable Care, Signify Health, and Verida improve customer satisfaction, boost agent productivity, and deliver consistent, scalable performance across every customer interaction.

Why Join Us

We’re looking for a hands on Facilities & Admin Manager to own the day-to-day operations of our workplace and administrative functions. This is an individual contributor role for someone who enjoys building great workplace experiences, thrives in a fast-paced environment, and can independently manage facilities, vendors, and travel operations.

If you love taking ownership, solving problems, and making things run smoothly behind the scenes - this role is for you.

What you’ll be doing

Facilities & Workplace Operations

• Own the daily operations of the office to ensure a seamless and productive workplace experience
• Serve as the primary point of contact with managed office partners (e.g., Indiqube) for facilities, infrastructure, and support
• Oversee housekeeping, security, maintenance, pantry services, and office supplies
• Ensure compliance with safety standards, workplace policies, and statutory requirements
• Manage office assets, inventory, and access systems

Vendor & Logistics Management

• Manage external vendors for maintenance, repairs, procurement, and services
• Support office expansions, seating allocation, and workspace planning
• Drive cost efficiency through smart vendor negotiations and contract management

Travel & Hospitality

• Manage domestic and international travel bookings including flights, hotels, and ground transport
• Coordinate executive travel plans and end-to-end itineraries
• Negotiate corporate hotel rates and manage travel partners
• Oversee guest visits, leadership visits, and all hospitality arrangements

Administrative Support

• Partner with leadership on facilities planning, budgeting, and forecasting
• Track and manage facilities and administrative expenses
• Ensure smooth onboarding logistics - workspace setup, access cards, and office readiness

What you bring to the role

• 8+ years of experience in Facilities, Administration, or Workplace Management, ideally in a startup or SaaS environment
• Hands-on experience working with managed office providers such as Indiqube, WeWork, or similar
• Strong vendor management and negotiation skills
• Experience managing travel coordination and logistics
• Highly organized, detail-oriented, and execution-focused
• Comfortable working independently in a fast-growing, dynamic setup

Perks & Benefits

• Excellent medical insurance options and free online doctor consultations
• Yearly privilege and sick leaves as per Karnataka S&E Act
• Generous holidays (National and Festive) recognition and parental leave policies
• Learning & Development fund to support your continuous learning journey and professional development
• Fun events to build culture across the organization
• Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.)

Our Commitment to Inclusion and Belonging

Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.

We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply.

If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai. 

Who We Are:
Aviatrix® is pioneering the Cloud Native Security Fabric — the architecture the Containment Era requires. The Cloud Native Security Fabric governs every workload communication path across every cloud, every VPC, every Kubernetes cluster, and every serverless function, from a single policy plane. One rule. Universal propagation. Enforced at the workload, not at a chokepoint. Trusted by more than 500 of the world's leading enterprises. For more information, visit aviatrix.ai. 

About the Role - Staff Engineer – Software Development.

Our SaaS platform serves enterprise customers with a reliable, secure, and scalable product built on modern microservices, event-driven data pipelines, and increasingly, AI-powered capabilities.

We are seeking a Staff Engineer – Software Engineering to join our SaaS Platform team. Staff Engineers at Aviatrix operate at the intersection of technical depth and cross-team influence. You will drive the design and delivery of complex backend systems — including AI-augmented data pipelines and agentic AI integrations — while raising the technical bar across the organization. This role is ideal for an engineer who is deeply technical, thrives on solving ambiguous problems, and is ready to shape both the platform’s architecture and the team’s engineering culture.

Position Responsibilities

Architecture & Technical Leadership

• Lead the architecture and delivery of complex backend platform features spanning multiple microservices; break down large, ambiguous projects into well-scoped sub-projects and guide senior engineers through execution.
• Define technical standards, patterns, and best practices for backend microservices development across the team — covering API design, service communication, data modeling, and reliability.
• Own the architectural design of AI-augmented data pipelines: integrating model inference, agentic workflows, and LLM-based processing steps into streaming and batch data flows on AWS.
• Evaluate and recommend agentic AI frameworks and tooling (such as LangChain, LlamaIndex, Amazon Bedrock Agents, or equivalent) for use in platform components; establish integration patterns the broader team can follow.
• Write and present comprehensive design documents and technical proposals that articulate complex problems, solution trade-offs, and long-term platform direction.
• Drive improvements to Aviatrix’s product and security posture, including contributions outside your immediate project area.

AI-Augmented Data Pipelines

• Design and implement data pipelines that incorporate AI/ML model inference as a first-class processing step, enabling intelligent enrichment, classification, anomaly detection, and summarization of platform telemetry and events.
• Architect agentic AI workflows that operate autonomously within data pipelines — orchestrating tool use, retrieval-augmented generation (RAG), and multi-step reasoning to drive platform automation.
• Integrate large language models (LLMs) and foundation models via managed APIs (Amazon Bedrock, OpenAI, Anthropic) and self-hosted inference endpoints into backend services and pipeline stages.
• Build robust prompt engineering and context management layers that make AI model calls reliable, observable, cost-efficient, and safe in a production SaaS context.
• Establish guardrails, evaluation frameworks, and monitoring strategies for AI components in pipelines — including output validation, hallucination detection, latency tracking, and cost controls.
• Collaborate with data and ML teams to define feature stores, embedding pipelines, vector database integrations (e.g., Amazon OpenSearch, pgvector), and model lifecycle management practices.

Backend & Microservices Engineering

• Design and implement high-performance, production-grade microservices in Golang using gRPC and REST; ensure services are secure, observable, and operationally resilient.
• Drive the design of event-driven architectures using AWS data pipeline services — Kinesis, MSK (Kafka), Glue, Step Functions, and EMR — to support real-time and batch processing at scale.
• Enforce strong security and networking practices: AWS VPC architecture, IAM least-privilege access, PrivateLink for private service connectivity, and encryption in transit and at rest.
• Lead platform-wide reliability initiatives: SLO definition, distributed tracing, structured logging, alerting, and chaos engineering practices.
• Conduct rigorous design and code reviews; set a high bar for correctness, testability, and operational readiness.

Team Influence & Collaboration

• Serve as a technical anchor for the team — raising engineering quality through mentorship, design guidance, and a culture of rigorous technical thinking.
• Collaborate with product management and leadership to align technical roadmap investments with business priorities and customer needs.
• Partner with senior engineers across teams to drive consistency in platform architecture and avoid redundant solutions.
• Provide expert guidance during escalations and critical production incidents; drive root-cause analysis and long-term remediation.
• Contribute to recruiting and interviewing; help define bar-raising standards for backend and AI engineering roles.

Requirements

Experience & Education

• 7–10+ years of professional software engineering experience, with a strong track record of technical leadership on backend systems.
• Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
• Demonstrated experience designing and operating SaaS or PaaS products at scale, with multi-tenancy and high-availability requirements.
• Strong foundation in data structures, algorithms, operating systems, and distributed systems.
• Experience working in fast-paced, high-growth technology companies with geographically distributed teams.

Backend & Microservices

• Strong proficiency in Golang; experience building production-grade gRPC-based microservices.
• Deep understanding of distributed systems: consistency, fault tolerance, service discovery, back-pressure, and distributed tracing.
• Expertise in RESTful and gRPC API design, with a strong sense of API contracts, versioning, and backward compatibility.
• Experience building event-driven architectures with message queue and streaming systems (Kafka/MSK, Kinesis, SQS/SNS).
• Strong understanding of elegant and robust system design; ability to evaluate and articulate key engineering trade-offs.

Agentic AI & LLM Integration

• Hands-on experience integrating large language models (LLMs) and foundation models into production backend systems via managed APIs or self-hosted inference.
• Practical knowledge of agentic AI concepts: tool use, autonomous multi-step reasoning, agent orchestration, and human-in-the-loop patterns.
• Experience with at least one agentic AI framework or platform (e.g., LangChain, LlamaIndex, Amazon Bedrock Agents, AutoGen, or similar).
• Familiarity with retrieval-augmented generation (RAG): embedding models, vector databases (OpenSearch, pgvector, Pinecone), and context retrieval strategies.
• Understanding of prompt engineering principles: structured prompts, few-shot examples, chain-of-thought reasoning, and output validation.
• Experience designing AI guardrails and evaluation pipelines to ensure reliability, safety, and cost-efficiency of LLM components in production.

Data Pipelines

• Proven experience designing and operating large-scale data pipelines for real-time streaming and batch workloads.
• Strong working knowledge of AWS data pipeline services: Amazon Kinesis (Data Streams & Firehose), AWS Glue, Amazon MSK, AWS Step Functions, and Amazon EMR.
• Ability to embed AI/ML inference steps — including LLM calls, embedding generation, and model scoring — as processing stages within data pipelines.
• Familiarity with pipeline observability: data lineage, quality monitoring, SLA management, and alerting.
• Experience with schema management, data quality enforcement, and data catalog practices (e.g., AWS Glue Data Catalog).

AWS & Cloud Infrastructure

• Deep experience with AWS as a primary cloud platform; strong understanding of high-availability, multi-AZ deployment patterns.
• Solid knowledge of AWS networking and security: VPC architecture, IAM roles and policies, AWS PrivateLink, Transit Gateway, and security groups.
• Proficiency with Kubernetes (EKS), including workload scheduling, RBAC, networking (CNI), and cluster operations.
• Experience with infrastructure-as-code (Terraform, CDK, or CloudFormation) and CI/CD pipelines for cloud-native backend services.
• Familiarity with Amazon Bedrock or equivalent managed AI/ML platforms for model deployment and inference at scale.

Nice to Have

• Experience fine-tuning or adapting foundation models for domain-specific tasks.
• Familiarity with ML frameworks (PyTorch, HuggingFace Transformers) and model serving infrastructure (SageMaker, TorchServe).
• Background in network security, cloud networking, or SASE/SD-WAN technologies.
• Experience with multi-cloud environments (Azure, GCP) alongside AWS.
• Contributions to open-source AI, data engineering, or cloud-native projects.

Interpersonal & Communication

• Excellent written and verbal communication; able to produce clear technical documents and present confidently to engineering and product leadership.
• Demonstrated ability to lead through influence, build consensus across teams, and drive outcomes without direct authority.
• Team player who thrives in collaborative, geographically distributed environments and startup-paced cultures.

Who We Are:
Aviatrix® is pioneering the Cloud Native Security Fabric — the architecture the Containment Era requires. The Cloud Native Security Fabric governs every workload communication path across every cloud, every VPC, every Kubernetes cluster, and every serverless function, from a single policy plane. One rule. Universal propagation. Enforced at the workload, not at a chokepoint. Trusted by more than 500 of the world's leading enterprises. For more information, visit aviatrix.ai. 

About the Role – Senior Member of Technical Staff – Software Development

Our SaaS platform serves enterprise customers with a reliable, secure, and scalable product built on modern microservices, event-driven data pipelines, and AI-powered capabilities.We are seeking a Senior Member of Technical Staff (Sr MTS) – Software Development to join our SaaS Platform team. This role is ideal for a backend engineer who has moved beyond writing individual features and is ready to take meaningful ownership of platform components, contribute to technical design, and start influencing the direction of the team. You will work alongside Staff and Principal Engineers on building microservices, data pipelines, and AI-integrated backend systems on AWS — developing both your technical depth and your ability to lead within a team.

Position Responsibilities: 

Feature Development & Ownership

• Take end-to-end ownership of backend features and services — from requirements and design through implementation, testing, deployment, and monitoring.
• Design and implement production-grade microservices in Golang, following team standards for gRPC and RESTful API patterns.
• Contribute meaningfully to technical design discussions; author design documents for features and components you own, incorporating feedback from senior engineers.
• Write well-tested, maintainable code; champion testing practices including unit, integration, and end-to-end tests within your feature area.
• Participate in on-call rotations; debug and resolve issues in distributed backend services and contribute to post-incident reviews.

Data Pipelines & AI Integration

• Build and extend data pipeline components that process, enrich, and route platform telemetry and events using AWS streaming and batch services (Kinesis, MSK, Glue, Step Functions).
• Integrate AI and LLM capabilities into backend services and pipeline stages — including model inference calls, output parsing, and result handling — under the guidance of Staff Engineers.
• Implement agentic AI workflow components such as tool-use handlers, retrieval-augmented generation (RAG) steps, and prompt orchestration layers as part of broader pipeline designs.
• Contribute to the reliability and correctness of AI pipeline components through thorough testing, output validation, and adherence to team guardrail standards.

Platform Reliability & Operations

• Ensure backend services you build are observable from day one: structured logging, metrics, distributed tracing, and alerting are treated as part of the definition of done.
• Apply AWS networking and security best practices in the services you build: secure IAM roles, VPC-aware service communication, and encryption in transit and at rest.
• Proactively identify and address reliability gaps, performance bottlenecks, and technical debt in platform components you own.
• Support deployment of services on AWS using team CI/CD pipelines and infrastructure-as-code tooling.

Collaboration & Team Contribution

• Collaborate effectively with Staff and Principal Engineers, product managers, and peers across a geographically distributed team.
• Conduct thorough code reviews and provide constructive, actionable feedback; help MTS engineers grow through mentorship on your area of expertise.
• Document APIs, service behavior, data flows, and runbooks clearly so teammates can understand, operate, and evolve your work.
• Participate actively in planning, estimation, and sprint ceremonies; raise technical risks and dependencies early.

Requirements

Experience & Education

• 3+ years of professional software engineering experience in backend development.
• Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
• Solid foundation in computer science fundamentals: data structures, algorithms, and operating systems.
• Demonstrated experience owning and shipping backend features or services in a production cloud environment.
• Experience working in collaborative, agile engineering teams; comfortable operating in fast-paced, high-growth environments.

Backend & Microservices

• Proficiency in Golang or a comparable strongly typed backend language; willingness to work primarily in Golang.
• Working understanding of microservices architecture: service boundaries, inter-service communication via REST and gRPC, and the trade-offs of distributed systems.
• Experience designing and implementing APIs with attention to correctness, reliability, and ease of use by other services.
• Familiarity with event-driven patterns and messaging systems such as Kafka, Kinesis, or SQS/SNS.
• Strong testing practices: unit, integration, and contract testing for backend services.

Agentic AI & LLM Integration

• Working knowledge of large language models (LLMs) and how they are integrated into backend systems via API calls (e.g., Amazon Bedrock, OpenAI, or Anthropic APIs).
• Familiarity with agentic AI concepts: tool use, multi-step reasoning, and agent orchestration frameworks such as LangChain, LlamaIndex, or Amazon Bedrock Agents.
• Ability to implement prompt templates, manage context windows, and handle model outputs reliably within backend service logic.
• Understanding of retrieval-augmented generation (RAG) patterns: embedding generation, vector store queries, and context injection into prompts.
• Awareness of production considerations for AI components: output validation, error handling, latency management, and cost awareness.

Data Pipelines

• Practical experience building or contributing to data pipelines for real-time or batch processing workloads.
• Familiarity with AWS data pipeline services: Amazon Kinesis, AWS Glue, Amazon MSK (Kafka), AWS Step Functions, or Amazon EMR.
• Understanding of how to embed AI/ML model inference calls as processing steps within a data pipeline.
• Ability to add pipeline observability: tracking throughput, latency, error rates, and data quality metrics.

AWS & Cloud Infrastructure

• Hands-on experience deploying and operating backend services on AWS; familiarity with core services including EC2, ECS/EKS, S3, RDS, and SQS/SNS.
• Basic understanding of AWS networking and security: VPC, security groups, IAM roles and policies, and encrypted communications.
• Experience with containerization (Docker) and deploying services in container-based environments.
• Comfort working with CI/CD pipelines, Git-based workflows, and infrastructure-as-code tooling (Terraform or AWS CDK is a plus).

Nice to Have

• Experience with Kubernetes (EKS) for container orchestration.
• Hands-on use of Amazon Bedrock or equivalent managed AI platforms for LLM inference.
• Experience with vector databases or embedding stores (OpenSearch, pgvector, Pinecone).
• Exposure to AWS managed data services such as Amazon Redshift, DynamoDB, or Aurora.
• Background in network security, cloud networking, or multi-cloud environments.
• Interest in or exposure to ML model lifecycle management and MLOps practices.

Interpersonal & Communication

• Clear written and verbal communication; able to write design documents, articulate technical decisions, and give constructive code review feedback.
• Collaborative team player who works well in cross-functional, geographically distributed teams.
• A growth mindset — eager to deepen expertise, take on new challenges, and mentor peers as you develop.

About Us

Observe.AI is the AI Agents platform for customer experience, designed to help organizations deliver faster, smarter, and more efficient customer service at scale. The platform enables businesses to deploy specialized AI agents that autonomously execute work across the full CX lifecycle—from handling customer conversations to supporting frontline teams and optimizing operations.

Each AI agent is purpose-built for a specific role, equipped to understand context, make decisions, take action, and continuously improve outcomes. This allows organizations to increase resolution speed, elevate service quality, and reduce operational costs while empowering your frontline team to focus on higher-value work.

Built on a CX-native foundation, Observe.AI helps leading brands like DoorDash, Affordable Care, Signify Health, and Verida improve customer satisfaction, boost agent productivity, and deliver consistent, scalable performance across every customer interaction.

The Opportunity

As a Software Development Engineer II, you will be working in a fast-paced and agile work environment delivering quality and scalable solutions that have an immediate business impact. You will be contributing independently as well as with the team on a variety of projects and features.

This role gives you the opportunity to think outside the box and be creative. At the end of the day, you will be writing performant code and will be collaborating with product, engineering, and design leaders to ensure that not only are we solving the problem in the right way, but that we are solving the right problem as well.

What you’ll be doing

• Design, develop and Test end-to-end native applications using React, Redux, Typescript, Node.js
• Build and maintain features for a desktop application using Electron and modern JavaScript/TypeScript.
• Work across the renderer and main processes, handling IPC communication and desktop integrations.
• Implement features involving media capture, screen recording, permissions, and system-level interactions.
• Optimize application performance, memory usage, startup time, and responsiveness.
• Work on Browser extensions (Chrome and Edge)
• Work effectively with all stakeholders, Design, Product, Backend, and QA engineers throughout the lifecycle of the Product to deliver a competitive and high-quality product on time
• Perform high qualityhigh-quality code reviews for your peers
• Optimize current behavior wherever possible with good reasoning

What you’ll bring to the role

• Bachelor’s Degree in engineering and equivalent with 3+ years of experience working on high quality UI development
• Good understanding of Modern Javascript, Browser, and performance concepts 
• Deep functional knowledge of HTML & CSS
• Functional knowledge of Electron.js and Desktop application development
• Understanding of build tools/bundlers, for example Webpack, Parcel etc.
• Strong critical thinking skills, great communication skills, and passion for delivering exceptional customer experience
• Attention to detail & keen interest in making everything more and more efficient

Perks & Benefits

• Excellent medical insurance options and free online doctor consultations
• Yearly privilege and sick leaves as per Karnataka S&E Act
• Generous holidays (National and Festive) recognition and parental leave policies
• Learning & Development fund to support your continuous learning journey and professional development
• Fun events to build culture across the organization
• Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.)

Our Commitment to Inclusion and Belonging

Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.

We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply.

If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.

About Us

Observe.AI is the AI Agents platform for customer experience, designed to help organizations deliver faster, smarter, and more efficient customer service at scale. The platform enables businesses to deploy specialized AI agents that autonomously execute work across the full CX lifecycle—from handling customer conversations to supporting frontline teams and optimizing operations.

Each AI agent is purpose-built for a specific role, equipped to understand context, make decisions, take action, and continuously improve outcomes. This allows organizations to increase resolution speed, elevate service quality, and reduce operational costs while empowering your frontline team to focus on higher-value work.

Built on a CX-native foundation, Observe.AI helps leading brands like DoorDash, Affordable Care, Signify Health, and Verida improve customer satisfaction, boost agent productivity, and deliver consistent, scalable performance across every customer interaction.

Why Join Us

Join Observe.AI and build the backend that powers AI agents, transforming customer service for global enterprises. You’ll work on complex, high-scale systems where your code has a direct and visible impact. With a culture that prizes speed, innovation, and ownership, this is your chance to sharpen your skills and shape the future of AI-powered experiences.

You’ll partner closely with product, design, and engineering leaders to define the roadmap and deliver solutions that truly matter. If you’re looking for an opportunity where your expertise drives innovation, your ideas shape the future of the platform, and your growth is fueled by working with smart, supportive peers, this is the place for you.

What you’ll be doing

• Contribute to building and deploying AI Agents for customer service in the form of Voice Agents, Chat Agents, and Coilots at enterprise scale.
• Contribute to the full application lifecycle by designing, coding, testing, deploying, and debugging - all with a high bar on quality.
• Collaborate with the product and design team to translate the product roadmap into a clear and actionable technical roadmap.
• Develop reusable code, frameworks, and libraries to accelerate development and maintain consistency across projects.
• Optimize applications for speed, scalability, and reliability - hence proactively addressing bottlenecks and performance issues.
• Implement robust security measures and data protection practices to safeguard applications and sensitive customer data.
• Design and manage scalable data storage solutions that ensure efficiency, reliability, and long-term maintainability.
• Build and scale efficient data pipelines to process large volumes of data with accuracy and speed.
• Review work of other team members (at all levels), provide feedback to them and lead by example on all of the above factors
• Represent the observe engineering and demonstrate thought leadership at the tech conferences by presenting solutions to complex challenges

What you’ll bring to the role

• 3-5 years of experience in building large-scale products
• Strong expertise in programming language in Python.
• Good knowledge in at least one of the SQL or no-SQL databases (like Postgres, MongoDB, Cassandra)
• In depth knowledge on some of the asynchronous communication tools (like Kafka, SQS  temporal. etc.), good understanding of popular caching tools(like Ehcache, Memcache, Redis)
• Customer first thought process, ability to adapt quickly in a fast paced environment, Openness to learning new technologies, Ability to think and talk from first principles

Our Commitment to Inclusion and Belonging

Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.

We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply.

If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai. 

This is an onsite role based at Nextiva’s Bengaluru office (Wilshire III by MFAR, 492, Hobli, RHB Colony, Mahadevapura, Bengaluru, Karnataka 560048). Working together onsite strengthens how we operate, enabling faster decisions, clearer communication, and stronger execution, so you can make a greater impact and move work forward with speed and clarity. 

In-Office Expectation: This role is expected to work onsite five days per week, supporting a highly collaborative, in-person team environment. 

We're looking for a strategic, hands-on Principal Product Manager to lead the vision and execution for our next-generation Voice capabilities within our CX platform. You'll build and evolve cutting-edge, AI-powered voice experiences—transforming traditional voice interactions into intelligent, automated conversations that enhance agent productivity, customer satisfaction, and operational efficiency through advanced NLP, real-time transcription, and voice AI. You'll shape the vision, align cross-functional teams, and deliver a roadmap that drives measurable business impact.

Key Responsibilities:

1. Strategic Ownership

• Define the long-term product strategy and positioning for Voice capabilities (UCaaS and CCaaS), aligned with AI-first differentiation and competitive market value
• Deeply understand user needs across contact center operations, IT leaders, developers, and end-users; incorporate voice-of-customer and competitive insights in every decision
• Partner with Finance and Sales to inform packaging, pricing, and monetization decisions for voice features (stand-alone vs. bundled) using data-driven insights

2. Execution & Delivery

• Translate strategy into a data-informed roadmap; prioritize features such as:
  • AI-Powered Transcription: Real-time speech-to-text with speaker diarization, punctuation, vertical specific grammars and multi-language support
  • Natural Language Processing (NLP): Intent detection, sentiment analysis, entity extraction, and conversation voice understanding
  • Voice AI & Automation: Conversational IVR/IVA, AI agents for self-service, voice bots with LLM integration
  • Real-Time Voice Analytics: Call monitoring, keyword tracking, compliance detection, and live agent assistance
  • Voice Infrastructure: SIP trunking, call routing, voice quality optimization, codec support, and telecom carrier integrations
  • UCaaS/CCaaS Features: Click-to-call, voicemail-to-text, call recording, conference bridging, call transfer, and omnichannel voice integration
• Collaborate closely with Engineering, Design, Data Science, and GTM teams to deliver high-impact releases; establish clear metrics that link customer outcomes to business goals
• Drive continuous iteration post-launch through telemetry, experimentation, A/B testing, and customer feedback

3. Cross-Functional Impact

• Act as a connector across Product, Design, Data Science, Engineering, and GTM to ensure cohesive delivery and alignment on vision
• Champion a culture of experimentation, learning, and accountability across teams
• Influence senior stakeholders through crisp storytelling and data-backed recommendations; translate technical voice capabilities into compelling business value

4. Technical & Domain Expertise

• Demonstrate deep understanding of:
  • Voice Technologies: VoIP protocols (SIP, RTP, WebRTC), telephony systems, PBX/softswitch architectures, audio codecs
  • AI/ML for Voice: NLP, ASR (Automatic Speech Recognition), TTS (Text-to-Speech), LLMs, RAG (Retrieval Augmented Generation)
  • Transcription & Speech Analytics: Real-time transcription engines, speaker identification, acoustic modeling, language models
  • Contact Center Voice: ACD (Automatic Call Distribution), IVR/IVA systems, call routing strategies, CTI (Computer Telephony Integration)
  • UCaaS Platforms: Unified communications features, presence, soft phones, mobile/desktop clients, and hardware devices.
• Stay current on competitive landscape (NICE, RingCentral, Dialpad, Five9, Genesys, Twilio) and emerging voice AI technologies
• Work with ISVs, technology partners, and telecom carriers to expand voice capabilities and ecosystem integrations

Qualifications:

Required Experience & Skills

• 8+ years in SaaS Product Management, including 4+ years leading enterprise-grade contact center, UCaaS, or voice communication products
• Proven success transforming embedded voice capabilities into revenue-generating, standalone experiences that drive customer adoption and satisfaction
• Deep technical expertise in:
  • Voice communication protocols; telephony device and systems
  • NLP, speech recognition, and conversational Voice technologies
  • Contact center voice infrastructure (IVR, ACD, call routing)
  • Real-time transcription and voice analytics
• Track record of developing and executing successful product launches in competitive voice/CCaaS markets with a CX-first approach
• Strong analytical, problem-solving, and decision-making skills with data-driven approach to prioritization
• Experience managing beta programs, user feedback loops, and conducting A/B testing for voice features
• Excellent collaboration skills with ability to motivate product development teams, work effectively across functions, and lead through influence in global environments

Preferred Qualifications

• Bachelor's degree in Computer Science, Engineering, or related technical field; MBA or similar advanced degree is a plus
• Experience with AI concepts including NLU (Natural Language Understanding), ML model training, LLM integration, and RAG architectures
• Familiarity with voice analytics, compliance requirements (PCI-DSS, HIPAA for voice), and quality standards
• Understanding of Centrex features, hosted PBX, SIP trunking, and carrier integrations
• Prior experience as a software engineer, technical lead, or solutions architect before transitioning to product management
• Knowledge of developer platforms and APIs for voice (Twilio, Vonage, RingCentral APIs)

Personal Attributes

• Proven affinity for inserting user experience first in the product design approach, especially for voice interactions
• Ability to demonstrate deep understanding of the Conversational AI (Voice/Chatbot) landscape, LLM technology, ecosystem, and evolution
• Embrace a hands-on approach, capable of navigating from high-level strategic vision to detailed execution
• Become the reference for competitive intelligence on voice offerings in the market
• Champion for voice product throughout each product's lifecycle, from strategic definition to technical design to market launch

What Success Looks Like in 12 Months

• Vision & Roadmap: A clear two-year vision and KPI-driven roadmap influencing cross-product alignment
• Customer Impact: Delivery of new AI-assisted QM/WFM capabilities adopted by at least three flagship customers with >70% engagement
• Commercial Influence: Measurable attach rates and incremental ARR growth in key regions (North America, EU, APAC)
• Operational Excellence: Instrumentation provides real-time insights into adoption, feature performance, and churn drivers
• Cross-Functional Collaboration: Strong partnerships across Product, Engineering, and GTM driving faster iteration and impact

Why Join Us

• Lead the transformation of voice communications through cutting-edge AI technology
• Work with a talented, cross-functional team passionate about building world-class CX solutions
• Shape the future of how millions of agents and customers interact through voice
• High visibility role with direct impact on company strategy and revenue
• Competitive compensation, equity, and benefits package

Nextiva DNA (Core Competencies)

Nextiva’s most successful team members share common traits and behaviors:

• Drives Results: Action-oriented with a passion for solving problems. They bring clarity and simplicity to ambiguous situations, challenge the status quo, and ask what can be done differently. They lead and drive change, celebrating success to build more success.
• Critical Thinker: Understands the "why" and identifies key drivers, learning from the past. They are fact-based and data-driven, forward-thinking, and see problems a few steps ahead. They provide options, recommendations, and actions, understanding risks and dependencies.
• Right Attitude: They are team-oriented, collaborative, competitive, and hate losing. They are resilient, able to bounce back from setbacks, zoom in and out, and get in the trenches to help solve important problems. They cultivate a culture of service, learning, support, and respect, caring for customers and teams.

Total Rewards

Our Total Rewards offerings are designed to allow our employees to take care of themselves and their families so they can be their best, in and out of the office.

Our compensation packages are tailored to each role and candidate's qualifications. We consider a wide range of factors, including skills, experience, training, and certifications, when determining compensation. We aim to offer competitive salaries or wages that reflect the value you bring to our team. Depending on the position, compensation may include base salary and/or hourly wages, incentives, or bonuses.

• Medical 🩺 - Medical insurance coverage is available for employees, their spouse, and up to two dependent children with a limit of 500,000 INR, as well as their parents or in-laws for up to 300,000 INR. This comprehensive coverage ensures that essential healthcare needs are met for the entire family unit, providing peace of mind and security in times of medical necessity.
• Group Term & Group Personal Accident Insurance 💼 - Provides insurance coverage against the risk of death / injury during the policy period sustained due to an accident caused by violent, visible & external means.
  • Coverage Type - Employee Only
  • Sum Insured - 3 times of annual CTC with minimum cap of INR 10,00,000
  • Free Cover Limit - 1.5 Crore
• Work-Life Balance ⚖️ - 15 days of Privilege leaves per calendar year, 6 days of Paid Sick leave per calendar year, 6 days of Casual leave per calendar year. Paid 26 weeks of Maternity leaves, 1 week of Paternity leave, a day off on your Birthday, and paid holidays
• Financial Security💰 - Provident Fund & Gratuity
• Wellness 🤸‍ - Employee Assistance Program and comprehensive wellness initiatives
• Growth 🌱 - Access to ongoing learning and development opportunities and career advancement

At Nextiva, we're committed to supporting our employees' health, well-being, and professional growth. Join us and build a rewarding career! 

Beware of Recruitment Fraud: At Nextiva, we follow a merit-based hiring process and do not charge any fees or require a deposit at any stage.  We also do not authorize any third parties to collect payments or sensitive information on our behalf. 

All genuine communications from Nextiva originate from official email addresses ending in “@nextiva.com”.  Communications received from free email services (such as Gmail, Yahoo, or Hotmail) purporting to be from Nextiva should be treated as fraudulent.  If you are contacted by a third-party claiming to represent us, please verify their credentials by writing to [talent@nextiva.com]. 

We encourage candidates to stay vigilant and verify the authenticity of any communication claiming to be from Nextiva, including unsolicited calls, WhatsApp messages and Telegram communications. While we strive to maintain a secure hiring process, Nextiva is not responsible for any losses arising from fraudulent activities.

For genuine opportunities, please apply only through our official careers site: [Careers URL / Nextiva LinkedIn authentic jobs].

If you believe that you have been a victim of recruitment fraud, please contact your law enforcement agencies immediately.

#LI-AK1 #LI-Onsite

About the Team

Razorpay's agentic products are scaling fast. Agent-powered onboarding, dashboard experiences, and automation workflows are live and growing, and the engineering teams building them are moving quickly. As we scale, we need shared infrastructure that lets every product team access the best model for each task without having to build routing, observability, or resilience logic themselves.

We are building an AI Inference Platform: a centralized layer that handles intelligent model routing, cost optimization, and quality observability across all of Razorpay's agentic products. The goal is simple. Product teams declare what kind of task they need done. The platform takes care of picking the right model, managing fallbacks, and tracking cost and quality. Teams stay focused on shipping features.

About the Role

As Lead AI Engineer on the platform side, you build the inference orchestration layer that sits between our product teams and their model providers. Routing, fallbacks, cost tracking, A/B testing for model swaps, and observability are all yours. Your customers are internal engineering teams, and your job is to give them a single reliable interface to every model the org uses while keeping the complexity of that routing layer off their plates.

You also own the observability and eval-in-production infrastructure: standardized tracing and cost dashboards across all agentic products, and the shadow-testing infrastructure that lets us validate model swaps safely before they reach production traffic.

What You’ll Build

• Build and operate a unified model gateway that abstracts provider complexity for product teams. Teams work with a clean interface; the platform handles routing, provider selection, and fallback logic under the hood
• Design and implement intelligent routing that matches each request to the right model based on task complexity, latency requirements, and cost targets. Not every call needs the same model
• Build resilience into the platform so provider outages, rate limits, and latency spikes are handled transparently. Agentic workflows stay up regardless of what happens upstream
• Own the observability layer across all AI-powered products: cost per call, latency distributions, token usage, and quality signals. Give product teams and leadership a clear view of how AI is performing and what it costs
• Build the infrastructure for safe model transitions: run new models alongside production, compare outputs, and roll out changes gradually with automated quality checks at every stage
• Drive continuous cost efficiency through caching strategies, request optimization, and per-team spend attribution so the org can scale AI usage without costs growing linearly with traffic

What We’re Looking For

• 5 to 8 years as a backend or platform engineer, with a track record of building API gateways, middleware, or developer platform services at scale. Strong in Go or Python
• Experience building high-availability, low-latency distributed systems: load balancing, circuit breakers, graceful degradation, retry logic, and observability using Prometheus, Grafana, OpenTelemetry, or equivalent
• Solid understanding of LLM APIs and token economics. You can design routing rules based on input/output token pricing, streaming vs. batch tradeoffs, and how prompt length affects both cost and latency
• You think in platform terms. You know the difference between building for end users and building for engineers, and you know that internal platform quality shows up in other teams’ velocity
• Familiarity with LLM orchestration and observability tooling: LiteLLM, Portkey, Langfuse, LangChain, or similar. You do not need to have used all of them, but you need to understand the landscape well enough to make good choices
• Experience with Kubernetes and distributed systems. GPU workload scheduling or ML serving infrastructure is a meaningful bonus

Why This Role is Different

• The platform you build becomes the backbone of every AI-powered product at Razorpay. Good infrastructure decisions here compound across every team and every workflow that ships on top of it
• You work on real scale from day one. The problems are concrete, the feedback loop is tight, and the impact of what you build shows up in production metrics quickly
• This role combines deep platform engineering with the emerging discipline of LLM infrastructure. It is a rare combination that puts you at the leading edge of how AI systems are built in production
• You are embedded in the decision-making, not downstream of it. You work directly with ML engineers and product teams, and your input shapes how the org approaches model selection, cost, and quality at every level
• You get genuine ownership over the architecture. This is a space where the right patterns are still being defined, and you have the scope to make meaningful design decisions rather than inherit them

Compensation & Benefits

Competitive compensation with ESOPs, comprehensive health insurance, learning and development budget, and all the perks of working at one of India’s leading fintech companies.

About Us

Observe.AI is the AI Agents platform for customer experience, designed to help organizations deliver faster, smarter, and more efficient customer service at scale. The platform enables businesses to deploy specialized AI agents that autonomously execute work across the full CX lifecycle—from handling customer conversations to supporting frontline teams and optimizing operations.

Each AI agent is purpose-built for a specific role, equipped to understand context, make decisions, take action, and continuously improve outcomes. This allows organizations to increase resolution speed, elevate service quality, and reduce operational costs while empowering your frontline team to focus on higher-value work.

Built on a CX-native foundation, Observe.AI helps leading brands like DoorDash, Affordable Care, Signify Health, and Verida improve customer satisfaction, boost agent productivity, and deliver consistent, scalable performance across every customer interaction.

Why Join Us

At Observe.AI, you’ll have the opportunity to solve complex engineering challenges at scale—building systems that process millions of call recordings every single day. As an SDE-4, you’ll work on cutting-edge technologies, leveraging the latest technologies to design and deliver secure, scalable, and multi-tenant solutions. You’ll collaborate with a team of highly skilled engineers, influence the technical roadmap and take ownership of building critical systems that power our AI-first products. If you’re passionate about architecting high-impact platforms and want to push the boundaries of backend engineering, this is the place for you.

What you’ll be doing

• Lead the design and development of complex software systems using modern software development practices and technologies
• Define and implement software architecture and design patterns that enable scalable and maintainable software systems
• Develop technical strategies and roadmaps to drive the evolution of our software platforms and systems
• Mentor and coach other engineers, promoting a culture of technical excellence and continuous improvement
• Collaborate with cross-functional teams to define and deliver high-quality software products and services
• Contribute towards cross-team initiatives, and share knowledge and best practices with the broader organization
• Drive innovation and experimentation, identifying new opportunities for growth and improvement
• Build model reusable code and design/facilitate libraries for future useCollaborate with the product team to understand and refine the product roadmap, while taking ownership of the technical roadmap definition
• Mentor and coach other engineers, promoting a culture of technical excellence and continuous improvement

What you’ll bring to the role

• Bachelor's or Master's degree in Computer Science
• 8+ years of experience in software engineering, with a focus on large-scale, distributed systems
• Strong programming skills in one or more programming languages, such as Java, Python, etc
• Proven experience in software architecture and design, with a deep understanding of software design patterns and principles
• Up-to-date knowledge of evolving technologies and the ability to guide the team toward evaluating and adopting cutting-edge technologie
• Excellent communication and collaboration skills, with a track record of working effectively with cross-functional teams
• Strong problem-solving skills and a passion for solving complex technical challenges
• Knowledge of container management tools (e.g. Docker Swarm, Kubernetes).
• Familiarity with data stores, including at least one of the following: Postgres, MongoDB, Cassandra, and Redis
• Knowledge of queueing systems (e.g. SQS, Kafka) and caching systems (e.g. Ehcache, Memcache)
• Ability to perform well in a fast-paced environment
• Experience leading and mentoring teams of engineers

Perks & Benefits

• Excellent medical insurance options and free online doctor consultations
• Yearly privilege and sick leaves as per Karnataka S&E Act
• Generous holidays (National and Festive) recognition and parental leave policies
• Learning & Development fund to support your continuous learning journey and professional development
• Fun events to build culture across the organization
• Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.)

Our Commitment to Inclusion and Belonging

Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.

We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply.

If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai. 

About Us

Observe.AI is the AI Agents platform for customer experience, designed to help organizations deliver faster, smarter, and more efficient customer service at scale. The platform enables businesses to deploy specialized AI agents that autonomously execute work across the full CX lifecycle—from handling customer conversations to supporting frontline teams and optimizing operations.

Each AI agent is purpose-built for a specific role, equipped to understand context, make decisions, take action, and continuously improve outcomes. This allows organizations to increase resolution speed, elevate service quality, and reduce operational costs while empowering your frontline team to focus on higher-value work.

Built on a CX-native foundation, Observe.AI helps leading brands like DoorDash, Affordable Care, Signify Health, and Verida improve customer satisfaction, boost agent productivity, and deliver consistent, scalable performance across every customer interaction.

Why Join Us

Join Observe.AI and build the backend that powers AI agents, transforming customer service for global enterprises. You’ll work on complex, high-scale systems where your code has a direct and visible impact. With a culture that prizes speed, innovation, and ownership, this is your chance to sharpen your skills and shape the future of AI-powered experiences.

You’ll partner closely with product, design, and engineering leaders to define the roadmap and deliver solutions that truly matter. If you’re looking for an opportunity where your expertise drives innovation, your ideas shape the future of the platform, and your growth is fueled by working with smart, supportive peers, this is the place for you.

What you’ll be doing

• Contribute to building and deploying AI Agents for customer service in the form of Voice Agents, Chat Agents, and Coilots at enterprise scale.
• Contribute to the full application lifecycle by designing, coding, testing, deploying, and debugging - all with a high bar on quality.
• Collaborate with the product and design team to translate the product roadmap into a clear and actionable technical roadmap.
• Develop reusable code, frameworks, and libraries to accelerate development and maintain consistency across projects.
• Optimize applications for speed, scalability, and reliability - hence proactively addressing bottlenecks and performance issues.
• Implement robust security measures and data protection practices to safeguard applications and sensitive customer data.
• Design and manage scalable data storage solutions that ensure efficiency, reliability, and long-term maintainability.
• Build and scale efficient data pipelines to process large volumes of data with accuracy and speed.
• Review work of other team members (at all levels), provide feedback to them and lead by example on all of the above factors
• Represent the observe engineering and demonstrate thought leadership at the tech conferences by presenting solutions to complex challenges

What you’ll bring to the role

• 5-9 years of experience in building large-scale products
• Strong expertise in at least one high level  programming language (like Python, Java, Golang), and familiarity with a few more (You should be comfortable to working on Python with immediate effect and any other languages that fit the use case in future)
• Good knowledge in at least one of the SQL or no-SQL databases (like Postgres, MongoDB, Cassandra)
• In depth knowledge on some of the asynchronous communication tools (like Kafka, SQS  temporal. etc.), good understanding of popular caching tools(like Ehcache, Memcache, Redis)
• Customer first thought process, ability to adapt quickly in a fast paced environment, Openness to learning new technologies, Ability to think and talk from first principles

Our Commitment to Inclusion and Belonging

Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.

We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply.

If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai. 

About Us

Observe.AI is the AI Agents platform for customer experience, designed to help organizations deliver faster, smarter, and more efficient customer service at scale. The platform enables businesses to deploy specialized AI agents that autonomously execute work across the full CX lifecycle—from handling customer conversations to supporting frontline teams and optimizing operations.

Each AI agent is purpose-built for a specific role, equipped to understand context, make decisions, take action, and continuously improve outcomes. This allows organizations to increase resolution speed, elevate service quality, and reduce operational costs while empowering your frontline team to focus on higher-value work.

Built on a CX-native foundation, Observe.AI helps leading brands like DoorDash, Affordable Care, Signify Health, and Verida improve customer satisfaction, boost agent productivity, and deliver consistent, scalable performance across every customer interaction.

Why Join Us

At our core, we are shaping how AI transforms real-world challenges in the contact center space. As part of our world-class ML team, you’ll work on developing cutting-edge LLM-powered solutions & Agentic AI, building end-to-end processing pipelines, and handling production challenges at scale—millions of interactions daily—while shaping the future of AI-powered contact centers. 

If you are truly an engineer at heart, excited about turning breakthroughs in multi-agent systems, LLMs, NLP, and ML into practical outcomes through applied research, and building scalable production systems to create real product impact, you will feel right at home at Observe.AI. You’ll also have the opportunity to publish in top conferences, and influence Observe.AI’s product and platform strategy. 

Beyond the tech, you’ll join a collaborative, mission-driven culture where innovation, impact, and fun go hand in hand. We value curiosity, collaboration, and the courage to push boundaries.

What you’ll be doing

• Design & develop state-of-the-art LLM-powered AI capabilities and Agentic AI/ Multi-agent systems end-to-end, from ideation to production for Observe.AI’s product offerings, in a fast-paced startup environment.
• Work with cutting-edge tools and technologies in Machine Learning, Deep Learning & Natural Language Processing, including LLMs and LLM-powered technologies/ paradigms, including Agentic AI.
• Build/ maintain highly scalable production systems that power AI capabilities on Observe.AI product/ platform.
• Optimize ML models and processing pipelines for performance, cost-effectiveness, and scale.
• Work with a world-class ML team in building exciting stuff, mentor juniors, and influence peers/ stakeholders.
• Collaborate cross-team with engineers, product managers, customer-facing teams, and customers to understand pain points and business opportunities to build the right solution for the right problem.
• Keep up-to-date with the latest ML/ DL/ NLP literature and influence the technological evolution of Observe.AI platform.
• Contribute to the community through tech blogs and publishing papers in ML/ NLP conferences like EMNLP, ACL, etc.

What you’ll bring to the role

• Bachelor’s or Master’s degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP/ NLU.
• An engineering mindset with the competencies of an applied scientist. 
• 3+ years of industry experience in building large-scale NLP/ NLU systems, with recent experience in building LLM-powered applications and Agentic systems.
• Strong understanding of the fundamentals of ML and NLP/ NLU, and practical aspects of building ML systems in production; backed by extensive hands-on experience in building/ scaling customer-facing ML/ NLP/ NLU applications.
• Good understanding of recent advances in building LLM-powered applications,  and multi-agent systems at scale. 
• Excellent implementation skills in Python and Machine Learning Frameworks such as Pytorch, Tensorflow, HuggingFace, etc., and deploying/ maintaining scalable machine learning systems in production.
• Ability to provide thought leadership in one or more technical areas of interest to Observe.AI, and influence product development
• Excellent communication, collaboration skills, and presentation skills.
• Experience with Spoken Language Understanding is a plus
• Published papers in top NLP/ NLU conferences or workshops are a plus
• Relevant open-source contributions are a plus.

Perks & Benefits

• Excellent medical insurance options and free online doctor consultations
• Yearly privilege and sick leaves as per Karnataka S&E Act
• Generous holidays (National and Festive) recognition and parental leave policies
• Learning & Development fund to support your continuous learning journey and professional development
• Fun events to build culture across the organization
• Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.)

Our Commitment to Inclusion and Belonging

Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.

We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply.

If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.

About Zuora

At Zuora, we help businesses grow smarter and adapt faster. Our platform powers modern business models — from subscriptions and usage-based pricing to AI-driven and outcome-based offerings — helping companies launch new products, automate complex billing, and unlock predictable, recurring revenue.

We’ve led the Subscription Economy for more than a decade. Now we’re evolving again by building the definitive platform for quote to cash and helping companies monetize their products and services with an adaptable, AI-ready foundation.

The Opportunity

Zuora is re-architecting CPQ for the next generation—moving beyond traditional configuration and pricing into AI-driven, agentic quoting systems that directly impact revenue growth and deal velocity. This role sits at the center of that shift, driving the core CPQ platform (DealDesk + pricing foundations) while unlocking high-leverage capabilities like agent-assisted quoting and pricing optimization (CPQ-x).

You’ll tackle hard problems at the intersection of distributed systems, pricing complexity, and applied AI—from building scalable pricing engines to embedding intelligent agents into quote workflows. You’ll define and deliver the technical foundation for agentic quoting, de-risk critical GTM and product gaps, and shape how Zuora monetizes AI to drive measurable pricing uplift and sales efficiency.

About You

You’ll be successful in this role if you can own complex systems end-to-end and translate ambiguity into scalable, production-grade platforms. You’re equally comfortable going deep on architecture (e.g., pricing engines, distributed systems) and driving alignment across product, GTM, and data teams to ship high-impact capabilities.

You may be a great fit if you:

* Have significant experience leading backend/platform engineering teams building large-scale SaaS systems (CPQ, billing, pricing, or similarly complex domains).

* Are strong at system design, technical judgment, and organizational leadership—able to make clear tradeoffs between flexibility, correctness, and scale.

* Can bridge deterministic systems and AI-driven approaches, knowing when to apply rules vs ML/LLMs to solve real business problems.

* Thrive in environments where requirements are complex and evolving, and where you’re expected to drive both long-term architecture and near-term execution.

* Bring a track record of delivering high-impact platforms—e.g., scaling pricing systems, simplifying complex workflows, or embedding new capabilities (like AI) into core products.

* Are effective at driving cross-functional outcomes, especially across Product, Data/ML, and GTM teams.

⸻

Nice to Have

* Experience with CPQ platforms (Salesforce CPQ, Zuora CPQ, Apttus)

* Background in subscription or usage-based pricing models

* Familiarity with LLM patterns (RAG, embeddings) or production ML systems

* Experience integrating with CRM/ERP systems or financial platforms

About the Team

The CPQ Engineering team owns the systems that sit at the center of Zuora’s revenue engine—powering how deals are configured, priced, and transacted across the Subscription Economy. The team is responsible for building scalable, high-correctness platforms that connect CRM, billing, and downstream financial systems.

We work closely with Product, Data/ML, Sales/GTM, and Finance teams to ensure pricing and quoting workflows are both flexible and operationally sound. This includes deep collaboration on DealDesk workflows, pricing strategy, and embedding AI-driven capabilities directly into sales and quoting processes.

The team operates as a distributed engineering organization, with a strong bias toward design-first development, async collaboration, and clear technical ownership. Decisions are driven by data, system constraints, and long-term maintainability rather than short-term patches.

Engineers on this team gain exposure to core revenue systems, AI-driven product innovation, and cross-functional problem solving, with opportunities to expand scope across CPQ, Billing, and broader platform architecture while developing as technical and organizational leaders.

Benefits

Zuora offers a comprehensive total rewards package designed to support ZEOs’ wellbeing, growth, and flexibility. While specific offerings may vary by country, we typically provide:

• Competitive compensation, variable bonus and performance-based reward opportunities, and retirement programs
• Medical Insurance
• Generous, flexible time off, plus paid holidays, wellness days, and a company-wide year-end break
• Paid parental leave (including fully paid leave for eligible ZEOs, subject to local policy)
• Learning & development stipend to support ongoing growth
• Opportunities to volunteer and give back, including charitable donation matching where available
• Mental wellbeing resources and support

*Benefits may vary by location; details will be shared during the interview process

#ZEOLife at Zuora

ZEOs (our employees) are empowered to take ownership, challenge the status quo, and make a real impact. We:

• Collaborate deeply across teams and regions
• Learn constantly and iterate often
• Build an inclusive, high-performance culture where people feel inspired, connected, and valued

Our Commitment to an Inclusive Workplace

Think, be and do you.
At Zuora, different perspectives, experiences, and contributions matter — everyone counts.

Zuora is proud to be an Equal Opportunity Employer committed to creating an inclusive environment for all. We do not discriminate on the basis of, and consider individuals seeking employment with Zuora without regard to, race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance@zuora.com (or local equivalent, where applicable).

About SAI Group

SAI Group is a private investment firm that has committed $1 billion to incubate and scale revolutionary AI-powered enterprise software application companies. Our portfolio, a testament to our success, comprises rapidly growing AI companies that collectively cater to over 2,000+ major global customers, approaching $750 million in annual revenue, and employing a global workforce of over 4,000 individuals.

SAI Group invests in new ventures based on breakthrough AI-based products that have the potential to disrupt existing enterprise software markets. SAI Group’s latest investment, JazzX, is a pioneering technology company which is building a platform that will not only shape the future of enterprise AI applications but also offer practical solutions to real-world challenges.

Senior Software Engineer, JazzX (New AI Venture at SAI Group) 

Role Overview:  

As a Senior Software Development Engineer, you'll lead the design, development, and management of critical services and components of an innovative enterprise AI platform to deliver transformative, AI-enabled work experiences for enterprise users. You'll mentor junior engineers, collaborate with cross-functional teams, and drive towards building a cutting-edge enterprise AI platform that remains state of the art.  

Design and Build: 

• Craft and develop high-performance, scalable services and components for our enterprise AI platform using a cloud-first, cloud-agnostic approach with world class AI capabilities, scalability, security, privacy and operability.
• Champion innovative AI and software design patterns and best practices to ensure code maintainability, reusability, and testability.
• Contribute to the platform's technical direction by staying up to date on emerging AI technologies, cloud design patterns and user experience methodologies. 

Collaboration: 

• Work collaboratively within a cross-functional team (AI/research engineers, software engineers, architects, product managers, designers) to translate complex platform and product requirements into well-defined, scalable, and modular AI, software and infrastructure components.
• Foster a collaborative and inclusive environment by effectively communicating technical concepts and design decisions across diverse audiences.
• Provide mentorship and guidance to junior engineers, fostering their growth and development. 

Operational Excellence: 

• Own the seamless integration of developed components into the platform, ensuring efficient operation and high availability.
• Implement robust monitoring and alerting strategies to proactively identify and troubleshoot potential issues.
• Champion DevOps practices streamlining the software development lifecycle and delivery process. 

Requirements 

Experience:  

• Minimum of 5 years in designing, building, and operating cloud services, with proficiency in container and orchestration frameworks such as Docker and Kubernetes. Experience with common software defined infrastructure (infrastructure-as-code) frameworks to deploy and manage cloud environments. AI/ML/Data experience is strongly preferred. 

 Development Lifecycle:  

• Comprehensive hands-on experience in the full-stack development lifecycle, including design, prototyping, building, testing, deployment, and operations of enterprise platforms and products, preferably with AI/ML/data components. 

 Technical Skills:  

• Deep knowledge of essential software development skills and experience in more than 1 of the following languages: Java, JavaScript, Python, Golang, or C++.
• AI/ML Experience (Strongly Preferred): Prior experience in building and managing ML/AI platforms and services, including familiarity with MLOps lifecycle, frameworks, and tools. Familiarity with modern GenAI/LLM services, AI agent frameworks like LangChain, LlamaIndex is highly desired.  
• Growth Mindset: A naturally curious attitude with a proactive approach to learning, experimenting, building, operating, and improving the development of a cutting-edge intelligent platform. Flexible, learn-it-all attitude, encouraging sharing and collaborative growth in an intense and fun work environment. 

Why Join Us 

At JazzX AI, you have the opportunity to become an integral part of a pioneering team that is pushing the envelope of AI capabilities to create an autonomous intelligence driven future. We champion bold innovation, continuous learning, and embrace the challenges and rewards of crafting something genuinely groundbreaking.

Your work will directly contribute to pioneering solutions that have the potential to transform industries and redefine how we interact with technology. As an early member of our team, your voice will be pivotal in steering the direction of our projects and culture, offering a unique chance to leave your mark on the future of AI.

We offer a competitive salary, equity options, and an attractive benefits package, including health, dental, and vision insurance, flexible working arrangements, and more.

We are an equal opportunity employer and celebrate diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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.