Forward Deployed Engineer

Caylent's Anthropic Business Unit is a dedicated AI services practice built in partnership with Anthropic — Anthropic's first pure-play delivery partner. Engagements are production-grade: agents, data products, AI-augmented operations, workforce transformation.

Forward Deployed Engineers live inside client organizations — in their standups, codebases, and architecture decisions. You own your assigned workstreams, deliver production-quality work from day one, and build the independent track record that creates a path to solo account ownership.

We hire into two specializations: Technology-Workforce FDEs embed in engineering, product, and IT organizations building LLM-native production systems; Operational FDEs embed in business functions — Finance, HR, Legal, Supply Chain, and more — building workflow automations and running AI enablement programs for non-technical teams.

• Own assigned workstreams end-to-end within a larger engagement — your scope is yours to drive, not wait on
• Build and ship in client codebases and environments — not in sandboxes
• Contribute to discovery sessions, architecture reviews, and stakeholder interviews alongside senior FDEs
• Translate ambiguous problems into scoped, deliverable work on your assigned scope
• Surface risks and blockers early — escalate intentionally when decisions exceed your scope, not for tactical approval
• Transfer capability that lasts: document and hand off working software or automations that stand on their own after you leave
• Contribute at least one reusable artifact or pattern back to the practice before each engagement closes

• 2–4 years of software engineering, technical delivery, or business systems experience
• Demonstrated ability to self-direct on assigned scope — managing your own time, priorities, and delivery quality without daily oversight
• Hands-on experience in one or more of: LLM application development, cloud-native development, backend engineering, or business automation tooling
• Strong communicator: technically clear with engineers, accessible and credible with business stakeholders
• High tolerance for ambiguity; starts delivering before every requirement is defined

•  Hands-on experience building with LLM APIs (Claude, AWS Bedrock, or equivalent) — prompt architecture, tool use, basic agent patterns
• Familiarity with cloud-native development (AWS preferred), containerization, or backend systems
• Experience with rapid prototyping: taking an ambiguous problem to a working proof-of-concept quickly
• Background in a consulting firm, systems integrator, or professional services environment a plus

• Deep fluency in at least one business function: Finance, HR, Legal, Sales Ops, Supply Chain, or Manufacturing
• Hands-on with Zapier, Power Automate, Airtable, or similar business automation tools
• Familiarity with enterprise systems: Salesforce, Oracle, D365, Workday, ServiceNow, or equivalent
• Experience supporting AI or digital adoption programs for non-technical audiences

You operate without a playbook, earn trust fast, and build things that last. This role works best for people who are energized by figuring things out in motion — day-to-day direction comes from you, not a manager. If that sounds like the environment you're looking for, you'll be at home here.

Ground floor of something real: this BU is early, well-resourced, and anchored to Anthropic — you're writing the playbook, not inheriting one. The work is at the frontier: agents, AI product builds, enterprise adoption at scale. Advancement is tied to delivery performance, not tenure.