Applied AI Engineer at Sektor

You will build the engine that automates the deployment of autonomous agents for the world's largest engineering and construction firms. Rather than building bespoke bots, you will create a self-configuring system that turns complex enterprise workflows into live, adopted AI agents, bridging the gap between raw LLM capability and production reality.

• Develop a self-configuring engine that takes mapped workflows like RFI handling and automates agent setup with minimal manual intervention.
• Build robust data pipelines and MCP integrations to connect critical enterprise data sources where no existing connectors exist.
• Implement production-grade reliability features including human-in-the-loop checkpoints, idempotency, and automated rollback systems for complex environments.

• Proven track record of building autonomous LLM applications that take real-world actions, evidenced by a history of sophisticated side projects or tools.
• Strong engineering fundamentals with an obsession for reliability, retries, and observability in non-deterministic AI systems.
• High-agency communicator who is comfortable being the technical face of the company for enterprise clients and non-technical stakeholders.

• Join a high-growth startup already generating $2M ARR in stealth, working directly with the founding team to shape the future of agentic deployments.
• Tackle a massive market opportunity by solving the "last mile" problem for enterprises spending billions on AI that currently fails to reach production.
• High-autonomy environment where you are encouraged to automate yourself out of a job and influence the core product direction through direct client interaction.