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
Core Skills & Experience
Category | Required Expertise |
AI / NLP | Hugging Face Transformers, spaCy, Haystack, OpenAI APIs |
RAG / Agents | LangGraph, LangChain, retrieval orchestration, context window optimization |
Vector Databases | Qdrant, FAISS, Pinecone, or Weaviate |
Backend Engineering | FastAPI, RESTful API design, async Python |
Data Processing | Pandas, DuckDB, PySpark, Airbyte (preferred) |
Geospatial (Bonus) | QGIS, PostGIS, GeoPandas |
MLOps (Preferred) | MLflow, DVC, Docker, Kubernetes |
Version Control | Git, GitHub Actions, CI/CD automation |
Who You Are
Why Join Codvo.ai