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Staff Engineer

Raft

Remote · United StatesSalary not disclosedfull-timeRaft Careers

Our flagship AI platform, [R]AIMS (Raft AI Mission System), enables operators and engineers to rapidly build, deploy, and govern AI-powered mission workflows across highly dynamic operational environments. We are looking for an experienced Lead AI/ML Software Engineer to help shape the next phase of [R]AIMS: a technical builder-leader with deep experience designing and scaling complex production systems, someone who can make hard architecture decisions, simplify complexity, lead major engineering efforts, and raise the technical bar across the platform.

Responsibilities

  • Drive architectural decisions across the [R]AIMS platform, evaluating tradeoffs across performance, scalability, security, and maintainability and building alignment across engineering and product stakeholders
  • Lead major technical epics from conception through delivery, decomposing ambiguous problems into executable plans and keeping cross-functional teams moving with clarity and momentum
  • Simplify and rationalize distributed system architecture as the platform scales, reducing incidental complexity and improving operational reliability without sacrificing capability
  • Optimize platform performance across both edge and cloud deployment targets, identifying and resolving bottlenecks in data-intensive, latency-sensitive operational environments
  • Establish strong engineering foundations and reusable technical patterns that improve developer productivity and code quality across the team
  • Mentor engineers at multiple levels, conducting design reviews, providing substantive code feedback, and actively elevating technical execution across the platform
  • Partner with AI/ML engineers on model integration, inference optimization, and the operational deployment of agentic workflows within [R]AIMS
  • Engage directly with customers and program stakeholders at operationally demanding environments across the Department of Defense, representing Raft’s technical capabilities with credibility and clarity
  • [R]AIMS has a coherent, well-documented architecture that engineers at all levels understand and can contribute to confidently
  • Major platform initiatives ship on time with high engineering quality, low rework rates, and clear technical rationale behind key decisions

Languages

    Work format
    Remote
    Seniority
    Senior
    Posted
    27 May 2026
    Last verified
    In the last 5 days

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