AI​/ML Engineer

As an AI‑forward engineer, you know that access to frontier models is increasingly universal—what differentiates organizations is their ability to deploy them effectively. Your strength is embedding with teams, mapping how work actually happens, and converting that understanding into reliable AI agents that transform operations. We’re seeking technical depth, consultative instincts, and an ownership mindset to bring agentic AI to workflows where it matters most.

AI/ML Engineer

As an AI‑forward engineer, you know that access to frontier models is increasingly universal—what differentiates organizations is their ability to deploy them effectively. Your strength is embedding with teams, mapping how work actually happens, and converting that understanding into reliable AI agents that transform operations. We’re seeking technical depth, consultative instincts, and an ownership mindset to bring agentic AI to workflows where it matters most.

You’ll join a forward‑deployed engineering cohort that operates close to the mission: engaging on billable client programs where people execute well‑defined processes by hand. Your mission is to move from humans executing flowcharts to agents executing flowcharts—elevating humans into supervisors of that automation. You’ll map workflows and exception paths, decide where deterministic software ends and model judgment begins, and build agents that are reliable, observable, and auditable from day one.

You’ll validate performance with evaluation suites and scale from shadow mode to production. Equally important, you’ll bring people along—winning trust, managing change, training the workforce, and leaving every engagement more capable than you found it.

You won’t do this alone. You’ll have structured reach‑back to a central engineering community focused on removing blockers, accelerating data and policy access, and turning field‑built solutions into reusable patterns, playbooks, and shared capabilities. Patterns proven once become capabilities many teams can reuse.

Join us to define how AI transformation gets delivered—one workflow, one agent at a time.

• Embed with client teams to observe and document how work actually happens, including workflows, systems, data flows, decision points, and the exception paths that aren’t captured in formal documentation.
• Produce operating maps and automation roadmaps that prioritize high‑volume workflows by expected value and risk and determine where deterministic software, agent judgment, and human‑in‑the‑loop approvals each belong.
• Design, build, and deploy AI agents that reason, plan, and act across existing tools, APIs, and data sources—integrating with current systems rather than forcing migrations.
• Develop evaluation frameworks, golden datasets, and regression tests to turn non‑deterministic behavior into evidence and scale agents from shadow mode to increasing autonomy to production.
• Instrument everything: audit trails, monitoring, and metrics that let leadership see exactly what agents are doing and the value delivered in hours saved, risk reduced, and outcomes improved.
• Drive adoption and change management, train the workforce, redesign roles around supervision of automation, and de‑risk the transformation for people living through it.
• Codify learnings into playbooks, reusable components, and field feedback to continuously improve shared capabilities across engagements.

Join us. The world can't wait.

• 8+ years of experience in software engineering, machine learning engineering, technical consulting, or solutions engineering roles
• 4+ years of experience building applications with generative and agentic AI technologies such as LLMs, retrieval‑augmented…