Forward Deployed Engineer
Caylent is an AI-first cloud services company that helps organizations turn ambitious ideas into meaningful business impact. As an AWS Premier Tier Services Partner and a charter member of Anthropic’s Claude Partner Network, we combine deep expertise in AWS, artificial intelligence, and Anthropic’s Claude platform to help customers modernize their technology, build intelligent products, and move AI from experimentation into production.
Our capabilities span generative and agentic AI, cloud migration and modernization, cloud-native application development, data and analytics, DevOps, managed services, security and compliance, and customer experience transformation. At Caylent , our people always come first.
We are a fully remote global company with employees in Canada, the United States and Latin America. We celebrate the culture of each of our team members and foster a community of technological curiosity. Come talk to us to learn more about what it means to be a Caylien!
The Mission
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.
Your Assignment
- 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
Your Qualifications
- 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
Preferred Qualifications
- 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
Operational Preferred
- 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, Work