Technical Lead – Enterprise AI Agents
This is a moment of change — and tremendous potential. Do you want to be part of shaping what’s next in human-AI collaboration?
Sema4.ai enables the enterprise to build, run, and manage intelligent AI agents that transform how people work. As Generative AI shakes up every industry, enterprises are looking for ways to unleash stunning productivity gains; deliver efficiencies with profound effects on the bottom line; accelerate innovation pipelines; and disrupt new markets.
What you can expect from us:
- Unleash stunning productivity gains
- Deliver efficiencies with profound effects on the bottom line
- Accelerate your career growth by working with leading-edge technology, pioneering customers, and world-class colleagues
Recently named to Business Insider’s list of the most promising startups of 2024, Sema4.ai is funded by tier 1 venture capital firms–the ones who backed household names like Uber, Snapchat, Instagram, and Zendesk. Our founders are innovators in open source, big data, and automation-as-code. As previous leaders of the Enterprise Hadoop offering at Hortonworks and Cloudera, the Sema4.ai team has already managed a quarter of the world’s data with deployments in 90+ countries.
The Opportunity
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.
We're hiring a Technical Lead who is deeply technical and can architect cutting-edge AI systems while remaining hands-on with implementation. You'll guide the technical direction of our platform while mentoring senior engineers and driving engineering excellence across the team.
Who You Are
- GenAI Expert: You understand how to use LLMs (and other cutting-edge models) to do useful work. You know the common challenges around using LLMs in enterprise settings, the most useful context management strategies, prompting strategies, and the nitty-gritty API-level details such as tool use, prompt caching, multi-modality, structured outputs, model-provider-specific differences, etc. You know the difference between top-p and temperature and you’ve maybe seen emerging works (like min-p). You use this significant base of understanding to drive useful outcomes in unique ways that non-experts in GenAI simply can’t.
- Technical Visionary: You can see around corners in the AI space. You understand not just current capabilities but where the field is heading. You make architectural decisions that will scale as models improve. You’ve grown with the field, tracking key changes, and implementing them when they make sense (avoiding the hype and creating clarity through your vision). You’re the kind of person who may have skipped on GraphRAG after a closer look, anticipated the emergence of truly long context models, and paid close attention to Anthropic’s excellent blog on SOTA retrieval techniques.
- Hands-On Builder: You write production code daily. You lead by example, contributing to the most challenging technical problems while establishing patterns for others to follow. You act as a force multiplier to the team around you.
What You’ll Do
- Lead Technical Implementation: Spend at least 50% of your 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 our product vision. Guide the team on best practices for building AI-native applications.
- Drive AI Architecture: Design and implement our agent framework, orchestration systems, and LLM integration patterns. Make critical decisions about model selection, prompt strategies, and system architecture.
- Mentor & Elevate: While not necessarily managing people directly, you'll mentor senior engineers, conduct technical reviews, and help the team level up their AI and systems expertise.
What You Bring
- 10+ years of experience in software engineering including 3+ years applying AI/ML in practice, and 3+ years in a technical leadership position.
- Technical Leadership: Proven ability to drive technical decisions, influence architecture, and guide teams without formal authority. You lead through expertise and example.
- Communication Skills: Ability to explain complex AI concepts to various audiences and document architectural decisions clearly.
How We Work
- We move fast and value autonomy.
- We write to think and communicate clearly.
- We build together, not in silos.
- We value execution over plans, and customer impact over internal consensus.
- We work remotely across time zones, with flexible schedules and clear communication expectations.
Why Sema4.ai
- We’re early—but shipping fast and solving real problems.
- You’ll have direct influence on product, culture, and strategy.
- You’ll join a driven, humble team of builders focused on impact.
- Founding team that has already “done it” before, with world-class investors.
Locations: US Eastern timezone, distributed team
Experience Level: Senior (10+ years of experience)
Team: Engineering
- Department
- Engineering
- Locations
- Atlanta
- Remote status
- Fully Remote