Senior AI Engineer
Core
Lead end-to-end delivery of production AI systems, including RAG, agentic frameworks, and LLM-powered solutions, while building and mentoring a high-performing engineering team.
Role type
Senior AI Engineering Manager / Lead IC
Builds
Production-ready AI/ML systems, scalable inference infrastructure, and MLOps/LLMOps pipelines for global clients
Domain
Generative AI, Large Language Models (LLM), Retrieval-Augmented Generation (RAG), MLOps
Deliverable
production ML models | infrastructure
Required skills
Python, Git, Cloud platforms (AWS/Azure/GCP), Containerization, RAG architecture, MLOps/LLMOps lifecycle, API design, Microservices, Team leadership, Technical mentoring
Preferred skills
Databricks MLOps, LLM fine-tuning, Agentic GenAI systems, Infrastructure as Code, Classical ML, Open-source contributions
Technologies
Python, Git, AWS, Azure, GCP, MLflow, Weights and Biases, Docker, Kubernetes, Event-driven architectures
Responsibilities
Lead project delivery with governance and stakeholder communication; Design and evaluate AI systems using metrics like recall@k and precision@k; Build scalable inference infrastructure and automate the MLOps lifecycle; Mentor engineers on system design and production deployment; Define technical feasibility and manage risks for new business initiatives
Seniority
Senior, hands-on IC with management responsibilities
