Hands-on technical lead architects and implements AI agent framework using LLMs and advanced GenAI techniques. Mentors engineers, sets technical direction, and drives scalable AI systems with 10+ years experience including 3+ in AI/ML and leadership.
Salary not listed
Hybrid10+ YOEEngineering Management
About the role
Responsibilities
Lead technical implementation: Spend at least 50% of time hands-on with Python code, building core platform capabilities, optimizing LLM performance, and solving complex technical challenges.
Set technical direction: Define technical standards, review critical code, and ensure architectural decisions align with product vision.
Drive AI architecture: Design and implement agent framework, orchestration systems, and LLM integration patterns; make decisions about model selection, prompt strategies, and system architecture.
Mentor & elevate: Mentor senior engineers, conduct technical reviews, and help team level up AI and systems expertise.
Requirements
10+ years software engineering experience, including 3+ years applying AI/ML in practice, and 3+ years in technical leadership.
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