Senior GenAI Engineer — Claude

Responsibilities

• Responsibilities
• 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.