Forward Deployed Engineer (FDE)
Forward Deployed Engineer works directly with strategic customers to deploy AI agent infrastructure, leading technical discovery, building integrations on platform APIs and customer infra, and ensuring deployment success while feeding insights back to product teams. Requires strong systems engineering skills in cloud, containers, and production code.
About the job
Responsibilities
- Lead end-to-end technical discovery & implementation for strategic customer deployments.
- Engage directly with customer stakeholders (from engineering teams to executives) to understand their issues, architecture constraints and success criteria.
- Build on Blaxel platform APIs, SDKs, sandboxes, CI/CD systems, observability tools, as well as customer infrastructure.
- Ensure customer success and retention by improving their workloads reliability, performance, cost, and operational visibility.
- Bring customer learnings back into product and engineering with enough technical detail to shape roadmap decisions.
Requirements
- Customer-obsessed builder: Enjoy working directly with users and shipping solutions that solve real problems while ensuring retained success for the Blaxel product.
- Strong engineer: Write production code, navigate unfamiliar codebases quickly, and make pragmatic technical tradeoffs.
- Systems generalist: Comfortable moving between APIs, cloud infrastructure, containers, networking, observability, and application logic.
- Fast in ambiguity: Turn incomplete context into a concrete plan, then iterate as you learn.
- Excellent communicator: Explain tradeoffs clearly, align stakeholders, and keep momentum during tense debugging sessions.
- High ownership: Drive problems through implementation, validation, documentation, and follow-up.
Skills and Experience
- Strong proficiency in TypeScript/Node or Python. Experience with Go, Rust, or systems-level engineering is a plus.
- Experience building and shipping production software, ideally in backend, infrastructure, cloud, developer platform, or AI product environments.
- Comfort with APIs, Docker, Kubernetes or similar orchestration, AWS/GCP/Azure, Linux, networking fundamentals, and CI/CD.
- Useful context includes agent frameworks, sandboxes, LLM applications, model-provider routing, eval workflows, vector databases, workflow orchestration, SSO/RBAC, security reviews, private networking, or compliance constraints.
- Prior forward-deployed, solutions, platform, customer engineering, founding engineer, or high-context consulting experience is helpful but not required.
Skills
TypeScript, Node.js, Python, Go, Rust, Docker, Kubernetes, AWS, GCP, Azure, Linux, CI/CD, APIs
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