(US) Senior Lead – AI Engineering (LangGraph / Haystack / RAG Systems) (Remote)
Codvo.ai
·Feb 3, 2026
- Workplace
- Remote, Hybrid
- Department
- Engineering
- Seniority
- Lead
- Source
- Freshteam
Description
Senior Lead – AI Engineering (LangGraph / Haystack / RAG Systems)
Location: US (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
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 Codvo.ai
- 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.