RAG Systems)

Codvo.ai•California City, CA

53d•Hybrid

About The Position

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.

Requirements

Hugging Face Transformers, spaCy, Haystack, OpenAI APIs
LangGraph, LangChain, retrieval orchestration, context window optimization
Qdrant, FAISS, Pinecone, or Weaviate
FastAPI, RESTful API design, async Python
Pandas, DuckDB, PySpark, Airbyte (preferred)
Git, GitHub Actions, CI/CD automation

Nice To Haves

QGIS, PostGIS, GeoPandas
MLflow, DVC, Docker, Kubernetes

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.

Benefits

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.

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