Lead AI Engineer
Core
Lead the design, development, and deployment of enterprise-scale AI platforms and Generative AI solutions, including LLM-based applications, agentic AI systems, and knowledge retrieval platforms.
Role type
Lead AI Engineer (Generative AI & Data Engineering)
Builds
Enterprise AI platforms, scalable Python applications, microservices, automation frameworks, and distributed data engineering pipelines.
Domain
Enterprise Technology, Generative AI, Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Python, API development, asynchronous programming, ETL/ELT pipeline design, LLM application development, agentic AI, multi-agent systems, RAG, vector databases, semantic search, Neo4j knowledge graphs, cloud-native microservices, SQL/NoSQL, DevOps, CI/CD, AI/LLMOps
Preferred skills
Enterprise-scale platform architecture, performance tuning, prompt engineering, document intelligence, knowledge management, NLP, information retrieval
Technologies
Python, Databricks, Spark, GCP, LangChain, LangGraph, Neo4j, SQL, NoSQL
Responsibilities
Design and implement ETL/ELT and data ingestion pipelines; Develop LLM-based applications and AI assistants; Build knowledge retrieval platforms using semantic search and vector databases; Establish secure, production-ready engineering and AI/LLMOps standards; Mentor engineering teams and lead strategic technology initiatives.
Seniority
Senior, hands-on IC with leadership responsibilities