Role: AI Engineer (Senior)
Year: 2026
Qualification: Not Specified
Experience (years): 5-10
Job description:
• e4–10 years of software engineering with substantial experience building distributed systems, infra, or ML platforms
• .Deep practical experience integrating and deploying LLMs in production (RAG, retrieval, embeddings pipelines)
• .Hands-on experience with agent orchestration frameworks (LangGraph / LangChain or custom agent runtimes) and stateful workflow design
• .Proven track record building observability, cost controls, and policy enforcement for production services
.Preferred / differentiator
• sExperience building or contributing to open-source LLM orchestration tools (LangGraph, LangChain, or similar)
• .Familiarity with enterprise constraints: on-prem/cloud hybrid deployments, data residency, compliance requirements
• .Background in security, privacy, or model governance for LLMs
• .Demonstrated leadership in cross-functional projects and direct customer engagement 
Technical skills: Python, ML, LLMs, RAG, LangChain, LangGraph 
Soft skills: Communication, Problem Solving