(us) Senior Lead – Ai Engineering (langgraph / Haystack / Rag Systems)

Year    Remote, IN, India

Job 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.

Beware of fraud agents! do not pay money to get a job

MNCJobsIndia.com will not be responsible for any payment made to a third-party. All Terms of Use are applicable.


Job Detail

  • Job Id
    JD4615134
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Remote, IN, India
  • Education
    Not mentioned
  • Experience
    Year