We're looking for a world-class
Forward Deployed Engineer to help strategic customers deploy Blaxel in real production environments.
You will work directly with customer teams, founders, and Blaxel's Product & Engineering teams to turn ambiguous requirements into working systems: integrations, deployment plans, debugging workflows, runbooks, examples, and product fixes.
This is a hands-on engineering role with direct customer ownership. Some days you'll be onsite at customer's office mapping a customer's architecture and success criteria. Other days you'll be deep in code debugging an agent deployment, agent-LLM networking behavior, or sandbox runtime issues.
The best person for this role can build trust in a room, then earn it again by shipping the solution.
What you'll doWorking side by side with our customers and interacting closely with Blaxel's Product & Engineering teams, you'll own the technical path from customer issues to successful deployment.
- 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.
Who you are- Customer-obsessed builder: You enjoy working directly with users and shipping solutions that solve real problems while ensuring retained success for the Blaxel product.
- Strong engineer: You can write production code, navigate unfamiliar codebases quickly, and make pragmatic technical tradeoffs.
- Systems generalist: You are comfortable moving between APIs, cloud infrastructure, containers, networking, observability, and application logic.
- Fast in ambiguity: You can turn incomplete context into a concrete plan, then iterate as you learn.
- Excellent communicator: You can explain tradeoffs clearly, align stakeholders, and keep momentum during tense debugging sessions.
- High ownership: You don't stop at diagnosis. You 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.
