Lead AI Engineer
Core
Design and build applied AI solutions and enterprise AI systems leveraging LLMs, RAG, and agentic workflows from concept to scalable production deployment.
Role type
Senior IC Lead AI Engineer (Enterprise AI Systems)
Builds
Production-ready AI platforms, cloud-native services, and agentic workflows integrated with enterprise data and business processes.
Domain
Enterprise Software / AI Engineering / Cloud Infrastructure
Deliverable
production ML models
Required skills
LLM architecture, RAG, agentic workflows, Python, Golang, C#, TypeScript, vector databases, MLOps/LLMOps, Kubernetes, Terraform, API design, distributed services, security, DevOps, evaluation & monitoring, prompt engineering, fine-tuning, model optimization.
Preferred skills
vLLM, LiteLLM, KServe, LangGraph, PydanticAI, Semantic Kernel, CrewAI, AutoGen, MLFlow, DeepEval, Ragas, Promptfoo, Langfuse, Hugging Face, PEFT, LoRA, AMD/NVIDIA accelerators, Azure/AWS/GCP AI services, ERP/EAM/Supply Chain domain knowledge.
Responsibilities
Architect AI-powered systems using LLMs and orchestration patterns; develop secure, maintainable cloud-native services; build rapid prototypes and PoCs; establish evaluation, monitoring, and quality practices; lead technical design discussions and architecture reviews; mentor engineers and develop reusable AI frameworks; collaborate with product teams and customers to deliver business impact; influence AI strategy and technology direction.
Seniority
Senior, hands-on IC with leadership responsibilities