Engineering Leader

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🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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Rational Dynamics

WebsiteLinkedInAll Job Openings

1 - 10 employees

🤖 Artificial Intelligence

🤝 B2B

Artificial Intelligence • B2B

Rational Dynamics is a research-driven company that builds customized AI reasoning systems and agentic AI methods for tasks requiring high cognitive complexity. They focus on developing core technical infrastructure and collaborative, research-oriented engineering teams in AI/ML, statistics, and systems engineering to deliver advanced, enterprise-focused solutions.

📋 Description

• Lead, coach, and scale a high-performing team of engineers and scientists; initially as a line manager, with scope to manage managers as the organization grows. • Own delivery of agentic AI systems from ambiguous customer need through prototype, production deployment, evaluation, and iteration. • Stay technically hands-on through architecture reviews, build/buy decisions, agentic workflow design, eval strategy, and urgent customer-critical problem solving. • Partner with the Director of Product, Director of UX, and customer-facing teams to translate customer workflows into clear technical roadmaps. • Build operating mechanisms that help the team move fast without unnecessary process: crisp priorities, clear ownership, fast feedback loops, and disciplined execution. • Raise the engineering bar for reliability, observability, security, compliance, and deployment quality in high-consequence enterprise environments. • Recruit, develop, and retain exceptional technical talent; create a culture where engineers and scientists do their best work. • Model RD’s tenets: continuously delight customers, remove bottlenecks, disagree and commit, take ownership of every problem, prototype rapidly, and stay at the leading edge.

🎯 Requirements

• Significant experience leading engineering teams that ship production software in complex, ambiguous environments. • Demonstrated ability to manage strong technical ICs, including engineers and/or applied scientists. • Hands-on experience building with modern AI systems, such as: agents, RAG, tool use, workflow orchestration, evaluations, LLM applications, or adjacent systems. • Strong product and customer judgment: you can identify what customers truly need, not just what they initially ask for. • Enterprise-grade engineering instincts, including security, data boundaries, observability, deployment, and operational reliability. • Founder-like ownership: high agency, low ego, bias for action, comfort with ambiguity, and willingness to take on whatever matters most. • Clear communication and strong judgment under pressure; able to debate hard, align quickly, and execute.

🏖️ Benefits

• Lead, coach, and scale a high-performing team of engineers and scientists • Own delivery of agentic AI systems from ambiguous customer need through prototype, production deployment, evaluation, and iteration. • Stay technically hands-on through architecture reviews, build/buy decisions, agentic workflow design, eval strategy, and urgent customer-critical problem solving. • Partner with the Director of Product, Director of UX, and customer-facing teams to translate customer workflows into clear technical roadmaps. • Build operating mechanisms that help the team move fast without unnecessary process: crisp priorities, clear ownership, fast feedback loops, and disciplined execution. • Raise the engineering bar for reliability, observability, security, compliance, and deployment quality in high-consequence enterprise environments. • Recruit, develop, and retain exceptional technical talent; create a culture where engineers and scientists do their best work. • Model RD’s tenets: continuously delight customers, remove bottlenecks, disagree and commit, take ownership of every problem, prototype rapidly, and stay at the leading edge.