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

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.

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.

• →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.

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

• 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.