Applied AI Engineer
Role summary
We are seeking an Applied AI Engineer to design and deploy AI-powered automation solutions across the company. This role involves working cross-functionally with engineering, research, hardware, and business operations to identify opportunities for AI-driven efficiency gains and build end-to-end solutions. Responsibilities include designing, building, and deploying production-grade AI agents and automation tools, architecting reliable and secure systems, and implementing human-in-the-loop workflows. The ideal candidate has strong CS fundamentals, hands-on experience with LLM APIs or AI agent systems, and the ability to manage projects from discovery to deployment. A security-minded approach and strong product intuition are essential.
About the Role
We’re hiring an
Applied AI Engineer
to design and deploy AI-powered automation across the company. This is a highly cross-functional, high-ownership role. You’ll work directly with teams across engineering, research, hardware, and business operations to identify where AI can drive meaningful efficiency gains, and then build the solutions end-to-end.
One week you might design an AI workflow to automate internal research; the next, you’re building tools that give teams instant access to critical data across systems. This role is ideal for someone who thrives in ambiguity, moves quickly, and wants to ship systems people actually rely on.
\*\*We are only able to consider applications from U.S. citizens or Green Card holders due to the nature of the project\*\*
What You’ll Do
- Design, build, and deploy production-grade AI agents and automation tools
- Architect reliable, secure, and observable systems
- Implement human-in-the-loop workflows, feedback loops, and fail-safes
- Work directly with stakeholders to understand workflows and pain points
- Conduct interviews and workflow analysis before building
- Translate insights into scoped, high-impact solutions
- Own rollout, onboarding, and iteration of tools you build
- Ensure systems are actually used and deliver value
- Share best practices for AI adoption across teams
- Apply strong security practices (access control, data handling, etc.)
- Write clear documentation (runbooks, APIs, decision logs)
- Monitor and evaluate system performance
What We’re Looking For
- Strong CS fundamentals and experience shipping production software
- Hands-on experience with LLM APIs or AI agent systems
- Ability to go from problem discovery → solution → deployment
- Strong product intuition and stakeholder communication skills
- Security-minded approach to system design
Nice-to-Have
- Experience building internal tools or operational automation
- Familiarity with agent patterns (tool use, memory, multi-agent systems)
- Experience with evaluation/monitoring of AI systems
- Experience in fast-paced or startup environments
What Success Looks Like
- You ship AI systems that teams actively depend on
- Your work measurably improves speed or decision-making
- Systems you build are maintainable and well-documented
- You identify and prioritise the next highest-impact opportunities
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