
Sema4.ai is pioneering the future of knowledge work through enterprise-ready AI agents, the next generation of business applications that autonomously perform complex tasks with unprecedented accuracy and efficiency. Founded by experts from Microsoft, AWS, VMWare, Cloudera, and Robocorp, Sema4.ai's enterprise AI agents connect context to action, transforming collaboration between people and AI. Sema4.ai’s platform enables enterprises to seamlessly build, run, and manage AI agents that understand context, reason, act, and collaborate, forever changing how work gets done. Sema4.ai believes enterprise AI agents are the “killer app” of the AI era—revolutionizing knowledge work, automating high-value tasks, and allowing employees to focus on strategic initiatives. The agents are designed to enhance human potential, driving operational efficiency, innovation, and significant cost savings for businesses worldwide. This is where the promise of AI meets the potential of people

Sema4.ai is pioneering the future of knowledge work through enterprise-ready AI agents, the next generation of business applications that autonomously perform complex tasks with unprecedented accuracy and efficiency. Founded by experts from Microsoft, AWS, VMWare, Cloudera, and Robocorp, Sema4.ai's enterprise AI agents connect context to action, transforming collaboration between people and AI. Sema4.ai’s platform enables enterprises to seamlessly build, run, and manage AI agents that understand context, reason, act, and collaborate, forever changing how work gets done. Sema4.ai believes enterprise AI agents are the “killer app” of the AI era—revolutionizing knowledge work, automating high-value tasks, and allowing employees to focus on strategic initiatives. The agents are designed to enhance human potential, driving operational efficiency, innovation, and significant cost savings for businesses worldwide. This is where the promise of AI meets the potential of people
What they do: Enterprise-ready AI agent platform to build, run, and manage autonomous agents for complex data and document workflows.
Key products: Studio, Control Room, Work Room (full-stack platform components).
Deployment: Runs in customer AWS or Snowflake environments and supports enterprise LLMs.
Funding: Raised $55.5M total (Series A plus $25M Series A extension reported June 2025).
Team background: Founders and leaders from Cloudera, Docker, Hortonworks, Microsoft, AWS, VMware, and Robocorp.
Automation of complex data and document workflows / knowledge work
Software Development
30500000
Initial Series A reported (amount reported as $30.5M in some summaries).
25000000
Series A extension of $25M reported June 4, 2025 with participation from Snowflake Ventures, Rocketship VC, MVP Ventures, COX Enterprises, Mayfield, and Benchmark.
“Mayfield; Benchmark; Snowflake Ventures; Rocketship VC; MVP Ventures; COX Enterprises”
| Company |
|---|
The Opportunity At Sema4.ai , we’re building an Enterprise AI Agent platform that fundamentally changes how knowledge work gets done—by enabling people and AI agents to collaborate in durable, trustworthy ways.
As a Staff Engineer on the AI team , you’ll design, build, and extend Sema4.ai ’s cognitive architectures —the core platform at the center of our agents. You’ll blend cutting-edge AI research with production-grade rigor to deliver high-leverage capabilities to the agents our customers build daily.
This is an early, high-impact role. You’ll be building foundational infrastructure in a fast-moving environment where decisions matter and tradeoffs are real. We’re looking for engineers who are comfortable operating with ambiguity, but who bring rigor, taste, and strong technical judgment to everything they build.
Who You Are GenAI Expert You know how to make LLMs and agents do real work in production systems. You understand the sharp edges: prompt brittleness, context limits, tool failures, cost and latency constraints, provider quirks, and enterprise reliability requirements. You’re fluent in current approaches used in AI systems development, and you know how to apply them thoughtfully rather than reflexively.
In-depth Technologist You stay close to research and industry, but you don’t chase every new idea. You track where the field is heading and design systems that will adapt gracefully as models and techniques evolve. You evaluate trends critically, adopt what works, and avoid unnecessary complexity. You think carefully about abstraction boundaries, failure modes, and long-term maintainability.
Builder With Standards You care about correctness, clarity, and operational behavior. You’re comfortable iterating quickly, but you understand the limits of your systems and know how to address them when the time is right. You know how to navigate between “not invented here” syndrome and assuming someone else has already solved all your problems.
What You’ll Do Build and Own Core Systems You’ll spend most of your time developing and evolving core agent framework components, orchestration logic, and LLM integration layers. These are not experiments; they are systems customers will rely on for business-critical workloads, and you’ll own them end to end.
Work Close to the Product Collaborate directly with the product and field engineering teams to understand how customers are building and applying agents. You’ll help translate these product intents into robust systems, and design new capabilities to advance the art of the possible.
Solve Ambiguous, High-Leverage Problems Take on problems where the shape of the solution isn’t obvious: improving agent reliability, managing long-running workflows, balancing cost and performance, and integrating new model capabilities responsibly. You’ll be trusted to figure things out, from concept to production.
Contribute to Technical Culture You’ll participate actively in design reviews and code reviews, help shape technical standards, and interview technical candidates. You’ll lead with influence across the engineering and product teams.
What You Bring