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
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