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India
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
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