Lead AI Engineer
Core
Design and build applied AI solutions and enterprise AI systems leveraging LLMs, RAG, and agentic workflows to drive business value.
Role type
Lead AI Engineer (Applied AI & Architecture)
Builds
Enterprise AI systems, production-ready software platforms, and cloud-native services orchestrating models and workflows.
Domain
Enterprise Software / Applied AI / Large Language Models
Deliverable
production ML models | product features
Required skills
LLM architecture, RAG, agentic workflows, Python, backend engineering, MLOps/LLMOps, DevOps, context engineering, API design, distributed services
Preferred skills
vLLM, LangGraph, Cohere, Kubernetes, Terraform, Hugging Face, GPU infrastructure, enterprise domain knowledge (ERP/Supply Chain)
Technologies
Python, Golang, C#, TypeScript, vLLM, LiteLLM, KServe, Cohere, OpenAI, Anthropic, Llama, Mistral, LangGraph, PydanticAI, Semantic Kernel, CrewAI, AutoGen, MLFlow, DeepEval, Ragas, Promptfoo, Langfuse, Kubernetes, Docker, Helm, Terraform, Hugging Face, AMD, NVIDIA
Responsibilities
Design and architect AI-powered systems using LLMs, RAG, and agentic workflows; Develop secure, maintainable, production-ready software platforms; Build rapid prototypes and proof-of-concepts; Establish evaluation, monitoring, and quality practices; Lead technical design discussions and architecture reviews; Mentor engineers and develop reusable AI capabilities; Collaborate with product teams and customers to deliver business impact.
Seniority
Senior, hands-on IC with leadership responsibilities