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Codvo AI · IT - Software Development

Senior Lead – AI Engineering (LangGraph / Haystack / RAG Systems)

India, Pune · Job Posted June 03, 2026
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Job Description

As Senior Lead – AI Engineering, you will own the end-to-end architecture, delivery, and optimization of enterprise RAG (Retrieval-Augmented Generation) and agentic systems. You will lead a small team of AI engineers to build and deploy LangGraph, Haystack, and FastAPI-based pipelines that extract, enrich, and reason over unstructured data. This role combines technical leadership, hands-on development, and system design — ensuring every AI service meets enterprise-grade standards of performance, reliability, and governance.

Job Responsibility

  • Architect & Lead: Design and oversee RAG pipelines using LangGraph, Haystack, LangChain, and OpenAI APIs for NeIO applications
  • Mentor & Guide: Manage a team of 3–5 AI engineers
  • perform code reviews, pair programming, and architecture reviews
  • Build & Integrate: Develop FastAPI-based microservices and vectorized retrieval layers (Qdrant, FAISS, Pinecone)
  • Optimize & Scale: Tune embedding quality, latency, and retrieval precision across multi-tenant data lakes
  • Collaborate with Data & GIS Teams: Integrate structured and spatial data using PostGIS, QGIS, GeoPandas
  • Implement Governance: Establish model observability, explainability metrics, and audit trails
  • Drive Delivery: Translate business workflows (e.g., LeaseOps, Recon) into AI automation pipelines with measurable ROI
  • Evangelize Open Source AI: Advocate for enterprise-grade, open-source-first design principles.

Requirements

  • Hugging Face Transformers, spaCy, Haystack, OpenAI APIs
  • LangGraph, LangChain, retrieval orchestration, context window optimization
  • Qdrant, FAISS, Pinecone, or Weaviate
  • FastAPI, RESTful API design, async Python
  • Pandas, DuckDB, PySpark, Airbyte (preferred)
  • QGIS, PostGIS, GeoPandas
  • MLflow, DVC, Docker, Kubernetes
  • Git, GitHub Actions, CI/CD automation

What we offer

  • Build on the NeIO platform, a rapidly evolving enterprise AI stack
  • Lead real-world agentic AI systems for billion-dollar industries
  • Collaborate with a global team of AI researchers, domain SMEs, and engineers
  • Competitive compensation with performance-linked RSUs
  • Flexible, innovation-driven environment with direct impact on product evolution.
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