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Forward Deployed Engineer (FDE) to work directly with enterprise and government customers — designing, deploying, and supporting complex AI systems in real-world environments. Move fast from prototype to production, building pipelines, containerizing services, and creating the interfaces that make these systems usable in the field. This role blends hands-on engineering, DevOps, and customer engagement. Act as the bridge between product and deployment, ensuring every solution is reliable, observable, and ready for mission-critical use.
Job Responsibility:
Build, deploy, and maintain production AI systems using Python, React, and modern DevOps tooling
containerize and orchestrate services with Docker, Kubernetes, and Helm across cloud and hybrid environments
fine-tune and integrate LLMs, retrieval pipelines, and data flows into customer infrastructure
design deployment playbooks, monitoring, and rollback strategies for secure, repeatable rollouts
embed with customer teams to scope, deliver, and operationalize new capabilities
capture deployment learnings into reusable frameworks and internal tooling
Requirements:
5+ years of software engineering or DevOps experience in production environments
fluent in Python and comfortable across frontend (React/TypeScript) and backend systems
deep experience with Docker, Kubernetes, and ideally Helm (branching/forking charts, managing rollouts)
understand cloud infrastructure (AWS required
multi-cloud a plus) and CI/CD workflows
communicate clearly with both engineers and executives
enjoy embedding with customers
thrive in fast-moving, ambiguous settings where you own delivery end-to-end
open to periodic travel (approx. 25–45%) for on-site deployments
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