Job Url: https://www.remoterocketship.com/company/codvo-ai/jobs/senior-lead-ai-engineering-langgraph-haystack-rag-systems-united-states-remote/

Job Description: 
Codvo.ai
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Artificial Intelligence • Mobile Development • Product and Design • Web Development • Remote Support

Codvo. ai is a technology company that specializes in delivering strategic enterprise solutions through advanced AI-driven innovation. 

They focus on transforming enterprise data into measurable value by helping businesses accelerate growth with custom AI implementations tailored to meet the specific challenges of various industries. Their extensive service offerings include AI/ML automation, application development, data analytics, cybersecurity, and digital transformation, ensuring that organizations can thrive in a rapidly evolving digital landscape. 


51 - 200 employees


Founded 2019

🔒 Cybersecurity

☁️ SaaS

Senior Lead – AI Engineering, LangGraph, Haystack, RAG Systems
3 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

Docker

Kubernetes

Microservices

Pandas

PostGIS

PySpark

Python

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📋 Description
• Design and oversee RAG pipelines using LangGraph, Haystack, LangChain, and OpenAI APIs for NeIO applications
• Manage a team of 3–5 AI engineers; perform code reviews, pair programming, and architecture reviews
• Develop FastAPI-based microservices and vectorized retrieval layers (Qdrant, FAISS, Pinecone)
• Tune embedding quality, latency, and retrieval precision across multi-tenant data lakes
• Integrate structured and spatial data using PostGIS, QGIS, GeoPandas
• Establish model observability, explainability metrics, and audit trails
• Translate business workflows (e.g., LeaseOps, Recon) into AI automation pipelines with measurable ROI
• Advocate for enterprise-grade, open-source-first design principles

🎯 Requirements
• 8–12 years of experience in AI engineering
• Expertise in AI / NLP with Hugging Face Transformers, spaCy, Haystack, OpenAI APIs
• Experience with RAG / Agents: LangGraph, LangChain, retrieval orchestration
• Knowledge of vector databases: Qdrant, FAISS, Pinecone, or Weaviate
• Backend engineering skills in FastAPI, RESTful API design, async Python
• Data processing experience with Pandas, DuckDB, PySpark, and Airbyte (preferred)
• Geospatial skills with QGIS, PostGIS, and GeoPandas (Bonus)
• MLOps knowledge with MLflow, DVC, Docker, Kubernetes (Preferred)
• Version control using Git, GitHub Actions, and CI/CD automation
• Passionate about building AI systems that move from prototype to production
• Strong in data modeling, ontology design, and prompt engineering
• Collaborate effectively with agile, cross-functional teams

🏖️ Benefits
• Competitive compensation with performance-linked RSUs
• Flexible, innovation-driven environment with direct impact on product evolution