Lead / Manager - AI Engineering
Core
Design and implement enterprise-grade GenAI and Agentic AI solutions, translating business needs into testable systems with measurable success criteria and safety gates.
Role type
Senior IC Agentic AI Engineer / Manager
Builds
Production GenAI solutions, RAG systems, and agentic workflows for clients
Domain
Generative AI, Agentic AI, Cloud-Native AI (Azure/AWS/Snowflake)
Deliverable
production ML models
Required skills
LLM architecture, Agentic AI engineering, RAG design, Prompt engineering, Evaluation strategy, Model selection, Python, ML frameworks (PyTorch/TensorFlow)
Preferred skills
Vibe coding tools (Cursor/AntiGravity), Cloud-native AI tools (Azure OpenAI/AWS Bedrock/Snowflake Cortex), MVP delivery
Technologies
Python, PyTorch, TensorFlow, Scikit-learn, Azure AI, Snowflake, AWS, Claude Code, Open AI Codex
Responsibilities
Design prompting strategies and iteration methodologies; Define evaluation plans including LLM-as-a-judge and bias checks; Select models and approaches (prompting vs RAG vs fine-tuning); Build end-to-end GenAI MVPs and prepare for production handoff; Mentor teams on GenAI evaluation methods; Collaborate with Product, DevOps, and Data Engineering on integration and infrastructure.
Seniority
Senior, hands-on IC with management focus
