for global clients in healthcare, fintech, and real estate.
Key Responsibilities - AI / GenAI Engineer (1-3 yrs)
Build and finetune LLMbased applications: chatbots, copilots, document Q&A, and workflow assistants.
Implement
RAG pipelines
using LangChain / LlamaIndex and vector databases (Pinecone, FAISS, etc.).
Develop
multistep/agentic workflows
(task decomposition, tools, routing, memory) for real business processes.
Integrate models via APIs/microservices (Python, FastAPI/Flask) and work with frontend/backend teams.
Evaluate LLM apps using qualitative and quantitative metrics (latency, cost, hallucinations, accuracy).
(orchestration, tools, observability) on AWS/Azure/GCP.
Lead and mentor a small team; review prompts, flows, and code; enforce GenAI best practices and guardrails.
Work directly with clients to shape the GenAI roadmap, PoCs, and production rollouts.
Required Skills
Strong Python; solid understanding of LLMs, prompt engineering, and RAG concepts.
Handson experience with at least one LLM stack (OpenAI/Anthropic/Bedrock/Gemini) and LangChain/LlamaIndex.
Experience with Git and at least one cloud (AWS/Azure/GCP).
Good to Have
Experience with tools/agents (AutoGen, CrewAI, Semantic Kernel, or similar) and MLOps/LLMOps tooling.
Role:
Full Stack Developer
Industry Type:
IT Services & Consulting
Department:
Engineering - Software & QA
Employment Type:
Full Time, Permanent
Role Category:
Software DevelopmentEducation
UG:
Any GraduateKey SkillsSkills highlighted with '' are preferred keyskillsJavascriptPythonReact.Js
Job Types: Full-time, Permanent
Pay: ₹20,000.00 - ₹100,000.00 per month
Benefits:
Provident Fund
Work Location: Remote
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