GenAI Full-Stack Engineer Lead
Core
Lead the end-to-end delivery and deployment of production-ready Generative AI and agentic AI solutions for an enterprise Controls Technology platform, focusing on context engineering, retrieval systems, and multi-agent orchestration without training models.
Role type
Senior IC GenAI Full-Stack Engineer Lead (Delivery & Architecture)
Builds
Production-ready GenAI and agentic applications, multi-agent systems, and agent harnesses for operational efficiency.
Domain
Enterprise Controls Technology, Generative AI, Agentic AI
Deliverable
production ML models
Required skills
Python (expert), LLMs (Llama, Gemini, GPT), Vector Databases (Pinecone, Weaviate, pgvector), Cloud Platforms (AWS, Azure, GCP), MLOps/LLMOps, Containerization (Docker, Kubernetes), CI/CD, SQL/NoSQL
Preferred skills
Leadership experience, PhD in CS/AI, experience with TensorFlow/PyTorch
Technologies
LangChain, LlamaIndex, MLflow, Kubeflow, GitHub Actions, Jenkins, Tableau, Power BI
Responsibilities
Execute delivery roadmap for GenAI projects, build and mentor AI engineering teams, oversee design and deployment of scalable solutions, drive agentic workflow design, manage stakeholder expectations and program delivery, collaborate with Data Mesh and Cloud Architecture teams, enforce governance and ethical AI frameworks.
Seniority
Senior, hands-on IC with leadership responsibilities