ai - Senior Lead - AI Engineering

Role : 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 :

At , 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.

Youll 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 :

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 :

- 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 :

- 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.