Job Description
Job 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 into AI automation pipelines with measurable ROI
• Advocate for enterprise-grade, open-source-first design principles
Requirements:
• 8–12 years of experience in AI/NLP engineering
• Expertise in Hugging Face Transformers, spaCy, Haystack, OpenAI APIs
• Experience in LangGraph, LangChain, and retrieval orchestration
• Familiarity with Vector Databases like Qdrant, FAISS, Pinecone, or Weaviate
• Proficient in FastAPI, RESTful API design, and async Python
• Experience with Data Processing tools like Pandas, DuckDB, PySpark, Airbyte
• Knowledge of QGIS, PostGIS, and GeoPandas is a bonus
• Understanding of MLOps tools such as MLflow, DVC, Docker, Kubernetes
• Proficient in Version Control systems like Git, GitHub Actions, CI/CD automation
Benefits:
• Competitive compensation with performance-linked RSUs
• Flexible, innovation-driven environment with direct impact on product evolution
• 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 into AI automation pipelines with measurable ROI
• Advocate for enterprise-grade, open-source-first design principles
Requirements:
• 8–12 years of experience in AI/NLP engineering
• Expertise in Hugging Face Transformers, spaCy, Haystack, OpenAI APIs
• Experience in LangGraph, LangChain, and retrieval orchestration
• Familiarity with Vector Databases like Qdrant, FAISS, Pinecone, or Weaviate
• Proficient in FastAPI, RESTful API design, and async Python
• Experience with Data Processing tools like Pandas, DuckDB, PySpark, Airbyte
• Knowledge of QGIS, PostGIS, and GeoPandas is a bonus
• Understanding of MLOps tools such as MLflow, DVC, Docker, Kubernetes
• Proficient in Version Control systems like Git, GitHub Actions, CI/CD automation
Benefits:
• Competitive compensation with performance-linked RSUs
• Flexible, innovation-driven environment with direct impact on product evolution
💡 Quick Summary
Seeking a career-building opportunity? The Senior Lead – AI Engineering, LangGraph, Haystack, RAG Systems position is now open for candidates interested in the Remote Jobs sector. This role in Chennai offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Remote Jobs is a plus.