We are hiring Senior / Lead Engineers to design, build, and scale robust, production-grade data and platform systems for a product portfolio within Blenheim. This is a hands-on engineering role where you will own complex problem areas end-to-end, influence system architecture, mentor engineers, and deliver scalable solutions in a fast-growing, product-led environment.

If you enjoy working with ambiguity, building platforms from the ground up, and shipping real business impact, we’d love to hear from you.

About Blenheim Chalcot:

Blenheim Chalcot India is part of Blenheim Chalcot, a global venture builder headquartered in London. With over 26 years of innovation, we've been at the forefront of creating some of the most groundbreaking GenAI-enabled companies. Our ventures lead the charge in digital disruption across a spectrum of industries, from FinTech to EdTech, GovTech to Media, and beyond. Our global presence spans the US, Europe, and Southeast Asia, with a portfolio that employs over 3,000 individuals, manages assets exceeding £1.8 billion, and boasts total portfolio sales of over £500 million.

The Role:

As a Senior / Lead Engineer, you will play a key role in designing and delivering scalable systems across core platforms. You will collaborate closely with Product, Data, and Engineering teams in Mumbai and London, helping shape technical direction while remaining hands-on.

Key Responsibilities:

Successful candidates will take a leading role within our Engineering Centre of Excellence in Mumbai, with day to day responsibilities which will include.

• Lead and mentor a team of engineers, fostering a culture of collaboration and continuous improvement.
• Oversee the planning and execution of projects, ensuring alignment with business objectives and timelines.
• Provide technical guidance and expertise to the team, promoting best practices in engineering.
• Collaborate with cross-functional teams to understand requirements and deliver effective solutions.
• Implement and maintain ELT (Extract, Load, Transform) processes using scalable pipelines and data architecture.
• Ensure data integrity and quality across various data sources.
• Support data-driven decision-making by providing clean, reliable, and timely data.
• Design, develop, and maintain the data models used by ML Engineers, Data Analysts and Data Scientists to access data.
• Conduct exploratory data analysis to uncover patterns and trends.
• Identify opportunities for process improvement and drive continuous improvement in operations.
• Stay updated on industry trends, technologies, and best practices in engineering.

About You:

We are seeking to onboard candidates with a track record of leading complex delivery, demonstrating technical depth and pragmatic leadership. You’re hands‑on when it matters, coach others effectively, and make clear design trade‑offs that improve customer and business outcomes. You communicate crisply, collaborate across functions, and keep teams focused on the few things that move the needle.

The Ideal Candidate:

• Professional experience in full-stack software engineering with evidence of architecting and delivering production systems at scale.
• Proven experience mentoring and developing engineers and raising code quality standards.
• Strong proficiency in one or more programming languages commonly used in engineering, such as Python or Java.
• Extensive experience with database systems, including SQL and NoSQL databases.
• In-depth knowledge of cloud data platforms like AWS or Azure (e.g., S3, Redshift, Glue, Data Factory, Azure Synapse, etc.).
• Experience with CI/CD practices for data solutions.
• Experience leveraging AI tools (GitHub Copilot, Claude etc) and building AI-enabled features (e.g., LLMs, automation workflows, prompt engineering, AI-assisted development) to enhance product capabilities and engineering productivity.
• Proven ability to take ownership over outputs and drive complex data projects to completion.
• Highly adaptable and comfortable working in ambiguous, problem-solving environments.
• Strong evidence of teamwork and successful cross-functional delivery; including particularly with customers, Product, Marketing, and Sales.
• Excellent communication, leadership, and collaboration skills.
  

Behaviours that we look for 

• Rigorous problem-solving and systems thinking. Breaks down complex problems, evaluates multiple approaches, and designs scalable, maintainable architectures.
• Clean, performant, and secure code. Chooses suitable data structures, writes readable & defensive code, and bakes in performance and security from the start.
• Test-first and observable engineering. Designs for testability, automates meaningful unit/integration tests, and implements robust logging, metrics, and monitoring.
• Production and operations excellence. Understands CI/CD, infrastructure and cost drivers, engineers for reliable development, resilience, and fast recovery.
• Data-driven, outcome-focused decisions. Validates ideas with data, plans for schema evaluation, and aligns features with real user impact.

Process - We have a rigorous, but streamlined recruitment process, which respects the time of candidates and portfolio companies alike. This process starts with a 15-minute call with our Talent Acquisition team and a member of the Engineering Centre of Excellence, followed by further interviews with the Engineering Centre of Excellence team.

Please note that our roles are primarily office based, with modern and well-connected office locations in both Andheri East and Navi Mumbai.

#LI-PS1

About the Role

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

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

How will you make an impact?

Agentic AI POCs & Pilots

• Design and build Agentic AI proofs of concept

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

• Prototype rapidly

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

Development & Engineering

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

Collaboration & Knowledge Sharing

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

Have you got what it takes?

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

Programming proficiency:

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

AI & Machine Learning Understanding

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

LLM Usage & Prompt Engineering

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

Version Control & Collaboration Tools

• GitHub / Git proficiency:

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

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

.

You will have an advantage if you also have:

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

What’s in it for You?

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

Enjoy NICE-FLEX!

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

Requisition ID: 10692                

Reporting into: Director,Solution Engineering

About the role: 

Turing is looking for people with LLM experience to join us in solving business problems for our Fortune 500 customers. You will be a key member of the Turing GenAI delivery organization and part of a GenAI project. You will be required to work with a team of other Turing engineers across different skill sets. In the past, the Turing GenAI delivery organization has implemented industry leading multi-agent LLM systems, RAG systems, and Open Source LLM deployments for major enterprises. 

Required skills

• 8 + years of professional, hands-on engineering experience, including 4–6+ years specializing in building and deploying AI/ML models and systems.
• 1+ year of experience in developing Generative AI (LLM) applications using techniques like prompt engineering, RAG, and/or agents.
• Expert in architecting GenAI applications/systems using various frameworks & cloud services
• Good proficiency in using various cloud services from Azure, GCP, or AWS for building the GenAI applications
• Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must.
• Experience in driving the engineering team toward a technical roadmap.
• Excellent communication skills to effectively collaborate with business SMEs

Roles & Responsibilities

• Build the technical roadmap given a business requirement and own the delivery of the same.
• Lead the engineering team toward a technical roadmap and ensure timely execution of the roadmap to achieve customer satisfaction. 
• Develop and optimize LLM-based solutions: Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.
• Codebase ownership: Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices.
• Cloud integration: Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.
• Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products.
• Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development.
• Continuous innovation: Stay abreast of the latest advancements in LLM research and generative AI, proposing and experimenting with emerging techniques to drive ongoing improvements in model performance.

Education

• Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related technical field.

Role Overview

We are looking for domain-first, systems-oriented engineers who understand how real-world systems (in renewable energy, automotive, manufacturing, IoT, etc.) generate and use data — and can translate that into meaningful AI-driven workflows using DevRev.

As a Solutions Engineer, you will act as a trusted advisor, combining domain expertise, engineering depth, and problem-solving to help customers unlock value from their data through DevRev’s AI platform.

You will work closely with Sales, Product, and Engineering to design solutions that go beyond demos — enabling real-world automation, intelligence, and agentic workflows.

Key Responsibilities

• Partner with customers to deeply understand domain workflows, systems, and data flows (e.g., connected vehicles, factory systems, IoT environments)
• Translate real-world signals (sensor data, logs, events) into insights, workflows, and automated actions
• Build and showcase AI-driven workflows, automations, and agentic use cases
• Design and articulate end-to-end solutions (data ingestion → processing → decision → action)
• Act as a technical advisor, guiding customers on how DevRev can integrate into and enhance their existing systems
• Deliver tailored demos, PoCs, and solution walkthroughs grounded in real-world use cases (not generic SaaS demos)
• Support integrations with external systems via APIs, webhooks, and data pipelines
• Contribute to technical proposals, RFP/RFI responses, and solution architectures
• Stay current on industry trends (renewable energy, automotive, manufacturing, IoT, AI) and bring insights into customer conversations

Qualifications & Skills

Domain Expertise 

• Experience in renewable energy, automotive, manufacturing, industrial systems, or IoT environments
• Strong understanding of:
• Connected systems (vehicles, machines, robotics, embedded systems)
• Sensor ecosystems (CAN, telemetry, vision systems, IoT devices)
• Real-world data (signals, logs, time-series)
• Familiarity with manufacturing workflows (inspection, defect detection, production cycles).
• Ability to explain data flow from system → processing → business outcomes

Engineering Depth

• Strong system-level thinking
• Experience with:
• Data pipelines, APIs, integrations, distributed systems
• Experience in Python / TypeScript / JavaScript (or similar)
• Understanding of system design, reliability, and failure handling
• Exposure to AI/ML in industrial use cases (vision systems, predictive maintenance, log-stream analysis, etc.)

Problem Solving & Use Case Thinking

• Ability to translate data → insights → workflows → actions
• Experience designing end-to-end systems
• Strong analytical mindset to identify automation opportunities from real-world signals

AI & Tools

• Exposure to LLMs, RAG, AI agents
• Familiarity with prompt design and AI workflows
• Tools: Postman, GitHub, Jira, Cursor, Claude Code

QA Automation Engineer 

Status: Full-time 
Reports To: Manager 
Location: Mumbai, IN 
Work Hours: Monday – Friday, 11:00 AM – 8:00 PM 

Position Summary 

Decisions + ProcessMaker are rapidly growing, private-equity-backed technology companies that provide a unified workflow and rules platform for business process automation (BPA). Trusted by Fortune 500 firms and SMBs globally, we enable organizations to simplify operations, enhance efficiency, and achieve measurable results—without requiring technical expertise. 

As a QA Automation Engineer, you will manage the testing strategy, processes, and resources for the Decisions platform. You will work closely with multiple departments—including Cloud Ops, Developers, Documentation, Professional Services, R&D, Solutions, and Support—to identify core issues and prioritize fixes within tight release schedules. 

Key Responsibilities 

• Develop and implement strategies to test the platform effectively across multiple versions and tight timelines. 

• Conduct both automated and manual testing as part of a global QA team. 

• Write automated tests using C# along with web automation frameworks like Playwright. 

• Communicate platform issues and testing results with leadership, developers, and other departments. 

• Document testing results and create reports for leadership to track release readiness. 

Support Duties 

• Understand enterprise integrations and communicate effective testing plans and solutions. 

• Provide examples and training for testing resources on platform features. 

• Anticipate problems and offer recommendations for resolution. 

• Challenge the status quo and take initiative to improve processes. 

• Actively observe, learn, communicate, and contribute to advancing the organization’s mission. 

Requirements 

• Certification in Quality Assurance (Automation). / Bachelor's degree in Computer Science, Information Systems, Engineering, or Mathematics 

• 0–2 years of experience in QA Automation. 

• Strong attention to detail and ability to multitask. 

• Excellent written and verbal communication skills for both onshore and offshore audiences. 

• Knowledge of databases, enterprise systems, web applications, and software QA best practices. 

• Understanding SDLC using Agile or other lean methodologies. 

• Basic software development knowledge: OOPs concepts and along with data types, variables, loops, exception handling, or strong problem-solving skills. 

• Ability to analyze information from multiple sources to develop testing plans. 

• Proficiency in Windows computing (e.g., finding local IP, using Command Prompt). 

• Strong desire to deliver excellent user experience and high-quality software. 

• Analytical mindset with a detective approach to software testing. 

• Familiarity with Windows services, networking concepts, APIs, and testing fundamentals. 

• Optional but beneficial: experience with Java, Python, .NET, HTML, C#, SQL, JS, IIS, AD, Hyper-V/VirtualBox, or any software testing platform. 

• Adaptable to changing organizational priorities in a fast-paced environment. 

What You’ll Do

• Build and deploy LLM-powered AI agents (including voice agents) in production, designed for real-world use cases
• Own the end-to-end lifecycle of AI systems — from problem scoping and design to deployment, monitoring, and continuous iteration
• Design and optimize prompts, RAG pipelines, and evaluation frameworks to improve accuracy, latency, and reliability
• Work directly with customers and Implementation Managers (IMs) to understand workflows, solve real-world problems, and drive successful go-lives and iterations 

What We’re Looking For

• 1–3 years experience in backend / data / AI engineering
• Strong in Python + SQL
• Experience or exposure to LLMs, RAG, or prompt engineering
• High ownership, ability to work in ambiguity and ship fast
• Comfortable working with customers and cross-functional teams

Preferred Qualification

• B.Tech, BE, or M.Tech in Computer Science or a related discipline, with 1–3 years of relevant experience

Bonus

• Experience with production LLM systems / AI agents
• Familiarity with evaluation, agent tooling, or voice AI
• Experience with Databricks, MongoDB, or distributed systems
• Startup or customer-facing engineering experience

Why This Role

• Work on real production AI systems (not demos)
• End-to-end ownership and fast iteration cycles
• Direct impact on enterprise customers and business outcomes

Mode of Work - In-Office

Job Title: GenAI Engineer (Prompt Engineering)

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 - 5 to 8

Skills and Qualifications: