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Senior AI Engineer: Generative AI, Agentic AI & RAG

Posted 2 weeks ago by Nimara Ventures Pvt Ltd

About the Role

Nimara Ventures places senior AI, DevOps and product engineers with US companies. We’re looking for a hands-on Senior AI Engineer to design, build and ship production-grade Generative AI, RAG and agentic systems for client engagements. You’ll work directly with client stakeholders, own architecture decisions, and may guide a small team of engineers.

What You’ll Do

  • Design and deliver end-to-end RAG systems, including document ingestion, chunking, embeddings, hybrid retrieval and evaluation
  • Build agentic workflows and stateful multi-agent systems using LangGraph, LangChain or LlamaIndex
  • Develop LLM-powered automation that integrates with client systems such as CRMs, internal data sources and APIs
  • Build AI analytics assistants that answer natural-language business questions
  • Productionize models with MLOps/LLMOps practices: deployment, monitoring, retraining and evaluation
  • Gather requirements from client stakeholders and turn them into architecture and delivery plans
  • Mentor and technically guide a small team (up to ~6 engineers) and review designs and code
  • Write clear technical documentation and communicate progress to stakeholders.

Required Qualifications

  • 7+ years in software engineering, data science or ML, with 2+ years building production LLM/RAG applications
  • Strong Python; experience with FastAPI or Flask
  • Hands-on with LangChain, LangGraph or LlamaIndex
  • Experience with vector databases (Pinecone, Weaviate, Chroma, Qdrant or similar) and embeddings
  • Experience deploying on AWS or Azure
  • Solid ML fundamentals (classification, regression, NLP) and SQL
  • Strong written and verbal communication, and comfort working directly with clients

Preferred

  • MCP, tool/function calling, A2A, hybrid search, reranking
  • LLM evaluation (RAGAS, LLM-as-a-judge)
  • MLOps tooling: MLflow, Docker, Airflow, GitHub Actions, DVC
  • Computer vision, NER or transformer fine-tuning (e.g., BERT)
  • Kubernetes experience
  • Prior experience leading or mentoring small teams

Work Authorization: Must be legally authorized to work in the US without sponsorship.

Rate:
Not specified
Location:
United States
IR35 Status:
Outside
Remote Status:
Remote
Industry:
AI & Machine Learning
Seniority Level:
Senior

Take-Home Pay

Not Available

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