Senior Lead – AI Engineering (LangGraph / Haystack / RAG Systems)
Location: India (Remote / Hybrid)
Experience: 8–12 Years
Department: AI & Data Engineering
Reports To: Director – AI & Platform Engineering
About Codvo.ai
At Codvo.ai, we are building NeIO — an AI-native enterprise platform powering intelligent operations across industries like Oil & Gas, Mortgage, and Legal. NeIO fuses Data Engineering, AI Agents, and MLOps into production-ready, auditable systems that drive real business outcomes. You’ll lead a Fusion Team — blending data engineers, AI developers, and domain experts — to design scalable, explainable, and high-performance AI workflows that bring automation to life.
Role Overview
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.
Key Responsibilities
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, Re

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