Forward Deployed Engineer (FDE)
Leads end-to-end deployments of frontier AI models for strategic customers, owning discovery, design, build, and rollout. Requires 5+ years experience with full-stack coding in Python/JavaScript and LLM systems in fast-paced environments.
About the job
Responsibilities
- Own technical delivery across multiple deployments from first prototype to stable production
- Build full-stack systems that deliver customer value and sharpen how we learn
- Embed closely with customer teams, understand their needs, and guide adoption of what you build
- Scope work, sequence delivery, and remove blockers early
- Make trade-offs between scope, speed, and quality; adjust plans to protect delivery
- Contribute directly in the code when progress or clarity depends on it
- Codify working patterns into tools, playbooks, or building blocks that others can use
- Share field feedback that helps Research and Product understand where the models succeed and where they can improve
- Keep teams moving through clarity and follow-through
Requirements
- 5+ years of engineering or technical deployment experience that includes customer-facing work
- Have scoped and delivered complex systems in fast-moving or ambiguous environments
- Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks
- Have built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience
- Simplify complexity and make fast, sound decisions under pressure
- Communicate clearly with engineers, product teams, and customer stakeholders
- Spot risks early and adjust without slowing down
- Model calm and judgment when the stakes are high
Skills
Python, JavaScript, LLMs, Full-Stack Development, Generative Models, System Design, Production Deployment, Customer-Facing Engineering
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