AI Engineer Manager
Core
Lead end-to-end delivery of production-ready AI systems, including RAG pipelines, agentic frameworks, and LLM-powered solutions for clients.
Role type
Senior IC AI Engineer Manager (GenAI/LLM)
Builds
Production AI systems, RAG pipelines, agentic frameworks, scalable inference infrastructure, and MLOps/LLMOps pipelines.
Domain
Artificial Intelligence / Generative AI / Machine Learning
Deliverable
production ML models | product features | infrastructure
Required skills
Python, Git, LLM-powered solutions, RAG systems, prompt engineering, evaluation strategies, MLOps/LLMOps, cloud platforms, containerization, orchestration, event-driven architectures
Preferred skills
Databricks MLOps, LLM fine-tuning, agentic GenAI systems, Infrastructure as Code, security and observability practices, classical machine learning
Technologies
Python, Git, MLflow, Weights & Biases, AWS, Azure, GCP
Responsibilities
Lead AI project delivery with governance and stakeholder communication; Design and build robust RAG systems and agentic frameworks; Apply advanced prompt engineering techniques; Design evaluation frameworks for AI systems; Run structured experiments across prompts, retrievers, and models; Build scalable inference infrastructure and CI/CD pipelines; Automate the MLOps/LLMOps lifecycle; Mentor junior engineers.
Seniority
Senior, hands-on IC with management responsibilities