Forward Deployed Engineer

Some problems don’t fit a project scope: they need a senior engineer inside your team, working in your codebase, your cloud and your meetings. Our Forward Deployed Engineers combine AI engineering with Platform/SRE depth, so the same person who automates your workflows with LLMs can also make the infrastructure underneath them production-grade.

What an FDE does

• Embeds in your team: joins your standups, your repos and your on-call reality; ships from week one.
• AI engineering: LLM integrations, agents and automation wired into your real systems and data, with access control and auditability from the start.
• Platform & SRE: Kubernetes, IaC, CI/CD and observability; the unglamorous work that makes AI features reliable in production.
• Bridges business and engineering: translates what your stakeholders need into systems that ship, and reports progress in their language.
• Leaves you stronger: documents, automates and trains your team; the goal is capability transfer, not dependency.

How it works

1. Fit and scope: we agree on the outcomes, the stack and the cadence (full-time or fractional).
2. Embed: the engineer joins your team with a 30-day plan and visible deliveries every week.
3. Review and renew: monthly outcome reviews; scale up, hand off or wrap up, your call.

When it fits

• You need AI features in production, not another proof of concept.
• Your platform can’t keep pace with your product team.
• You want senior capacity without a six-month hiring cycle.