The Senior GenAI Engineer — Claude & Agentic Systems is a hands-on builder who deploys Claude-powered demos and production solutions using Python, LangChain, RAG, and AWS/Replit. The role owns EXL’s Claude demo library and POC pipeline within the India AI Center of Excellence.
Reporting to the Director, the engineer turns solution designs into working, measurable systems and rapidly prototypes new Claude capabilities for client pursuits. CCA-F (Claude Certified – Foundations) certification is the baseline; MCP and Claude Computer Use familiarity is a strong differentiator
ResponsibilitiesResponsibilities
- Build and deploy Claude-powered demos, proofs-of-concept, and production solutions using Python, LangChain, and RAG patterns.
- Own and continuously expand EXL’s Claude demo library and POC pipeline, ensuring reusable, well-documented components.
- Implement agentic workflows with tool-calling/function-calling and, where relevant, MCP-based integrations.
- Develop production services and APIs, and deploy on AWS (and Replit for rapid prototyping), with attention to reliability, cost, and latency.
- Apply guardrails and evaluation strategies to ensure output quality, safety, and policy compliance.
- Collaborate with the Claude Solutions Architect and delivery teams to convert designs into working systems.
- Maintain technical documentation and reusable assets to accelerate future delivery.
Must-Have Skills
- 5–7 years of engineering experience, with hands-on GenAI/LLM delivery.
Claude & Agentic Engineering
- Strong hands-on experience building Claude-powered solutions, including RAG pipelines and agentic workflows.
- Proficiency with LangChain (or equivalent orchestration stacks) and prompt engineering.
- Experience with vector databases, embeddings, and retrieval evaluation.
- CCA-F (Claude Certified – Foundations) certification as a baseline (held or achievable on joining).
Core Engineering
- Strong Python engineering skills (production-grade coding, testing, packaging, API development).
- Hands-on experience deploying on AWS; familiarity with Replit for rapid prototyping.
- Good communication skills and the ability to work closely with architects and delivery teams.
Good-to-Have / Preferred
- Familiarity with MCP (Model Context Protocol) integrations.
- Exposure to Claude Computer Use and emerging agentic-coding workflows.
- Experience contributing demo libraries, accelerators, or reusable POC assets to a CoE.
- Domain exposure to BFSI, healthcare, or insurance use cases.
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Artificial Intelligence, Information Systems, or a related discipline (or equivalent practical experience).
Skills Required
- 5-7 years of engineering experience with hands-on GenAI/LLM delivery
- Claude-specific experience building Claude-powered solutions and RAG pipelines
- CCA-F (Claude Certified - Foundations) certification held or achievable on joining
- Proficiency with LangChain or equivalent orchestration stacks and prompt engineering
- Experience with vector databases, embeddings, and retrieval evaluation
- Strong Python engineering skills (production-grade coding, testing, packaging, API development)
- Hands-on experience deploying services on AWS; familiarity with Replit for prototyping
- Ability to implement agentic workflows and tool-calling/function-calling
- Bachelor's or Master's in CS, Engineering, Data Science, AI, Information Systems, or equivalent experience
- Familiarity with MCP integrations
- Exposure to Claude Computer Use and emerging agentic-coding workflows
- Experience contributing demo libraries, accelerators, or reusable POC assets to a CoE
- Domain exposure to BFSI, healthcare, or insurance use cases
- Good communication skills and ability to work with architects and delivery teams
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
