Tech Lead, Agentic Engineering

Sema4.ai • Atlanta, GA

8d

About The Position

At Sema4.ai, we're building an Enterprise AI Agent platform that reinvents how knowledge work happens—how people and AI agents collaborate to get work done better and faster. You'll be the hands-on leader responsible for building the core of our product: the Agent framework. We're looking for a Technical Lead who can architect cutting-edge AI systems while remaining hands-on with implementation. You'll guide the technical direction of our agent framework while mentoring senior engineers and driving engineering excellence across the team.

Requirements

• 10+ years of experience in software engineering
• 3+ years applying AI/ML in practice
• 3+ years in a technical leadership position
• Proven ability to drive technical decisions, influence architecture, and guide teams without formal authority.
• Ability to explain complex AI concepts to various audiences and document architectural decisions clearly.
• Understanding of LLMs (and other cutting-edge models) for practical applications.
• Knowledge of common challenges in enterprise LLM usage, context management strategies, prompting strategies.
• Familiarity with API-level details such as tool use, prompt caching, multi-modality, structured outputs, and model-provider-specific differences.
• Understanding of concepts like top-p, temperature, and emerging techniques (like min-p).
• Ability to anticipate future trends in the AI space and make scalable architectural decisions.
• Experience tracking and implementing key changes in the AI field.
• Ability to write production code daily.
• Experience contributing to challenging technical problems and establishing patterns for others.

Nice To Haves

• Experience with GraphRAG (or understanding of its limitations).
• Anticipation of the emergence of long context models.
• Attention to emerging retrieval techniques.

Responsibilities

• Spend at least 50% of your time hands-on with Python code, building core platform capabilities, optimizing LLM performance, and solving complex technical challenges.
• Define technical standards, review critical code, and ensure architectural decisions align with our product vision.
• Guide the team on best practices for building AI-native applications.
• Design and implement our agent framework, orchestration systems, and LLM integration patterns.
• Make critical decisions about model selection, prompt strategies, and system architecture.
• Mentor senior engineers, conduct technical reviews, and help the team level up their AI and systems expertise.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed