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

Codvo.ai; Pune District; Remote; INR 1,500,000 - 2,500,000; Full time

Benefits offered by this job

Competitive compensation with performance-linked RSUs

Flexible and innovation-driven work environment

Job summary

A leading AI technology firm is seeking a Senior Lead in AI Engineering. The role involves owning the architecture and delivery of enterprise RAG systems, leading a team of engineers, and integrating cutting-edge technology for automation. The ideal candidate will have extensive experience with AI and NLP tools, backend engineering, and a collaborative mindset to drive innovation. This position offers competitive compensation and the opportunity to impact real-world applications.

Responsibilities

• Design and oversee RAG pipelines using LangGraph and Haystack.
• Manage a team of 3–5 AI engineers and perform code reviews.
• Develop FastAPI-based microservices and embedding retrieval layers.
• Tune embedding quality and latency across multi-tenant data lakes.
• Integrate structured and spatial data using PostGIS and QGIS.
• Establish model observability and audit trails.
• Translate business workflows into AI automation pipelines.
• Advocate for open-source first design principles.

Skills

Hugging Face Transformers

spaCy

LangGraph

LangChain

FastAPI

Pandas

QGIS

Git

Tools

Docker

Kubernetes

PostGIS

Qdrant

FAISS

Pinecone

Job description

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, Recon) into AI automation pipelines with measurable ROI.
• Evangelize Open Source AI: Advocate for enterprise‑grade, open‑source‑first design principles.

Core Skills & Experience

• 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

• Passionate about building AI systems that move from prototype to production.
• Experienced in open‑source frameworks and eager to extend them for enterprise readiness.
• Strong in data modeling, ontology design, and prompt engineering.
• Collaborative, detail‑oriented, and comfortable leading agile, cross‑functional teams.
• Excited to turn complex real‑world data — maps, leases, documents — into actionable intelligence.

Why Join Codvo.ai

• Build on the NeIO platform, a rapidly evolving enterprise AI stack.
• Lead real‑world agentic AI systems for billion‑bill 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.