Raft logo
Raft

Accelerating agile federal innovation through open source DevSecOps, data analytics, and human-centered design.

Lead AI/ML Software Engineer

Location

Colorado + 5 moreAll locations: Colorado | Florida | Hawaii | Massachusetts | Virginia | Washington

Posted

7 days ago

Salary

$180K - $230K / year

Seniority

Senior

Bachelor Degree6 yrs expEnglishCloudDistributed SystemsKubernetes

Job Description

Lead AI/ML Software Engineer

Raft

• 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

Job Requirements

  • 6+ years of hands-on experience building and shipping production software systems across the full stack (frontend, backend, infrastructure, and ML)
  • Deep software engineering fundamentals with demonstrated ability to design, build, and evolve complex systems that perform reliably at scale
  • Exceptional technical communication skills; able to lead through influence across engineering, product, and leadership stakeholders without requiring direct authority
  • Proven experience designing and evolving distributed systems, including service decomposition, inter-service communication patterns, fault tolerance, and observability
  • Strong hands-on experience with Kubernetes and cloud-native platform architecture in production environments
  • Experience building data-intensive or AI-enabled production systems with real operational users and real performance constraints
  • Demonstrated technical leadership over large, cross-functional engineering initiatives with clear ownership and accountability for outcomes
  • Strong system design and architecture decision-making ability, with a track record of making the right call under incomplete information
  • Some experience or exposure to training, fine-tuning, or deploying machine learning models in production contexts
  • Ability to obtain Security+ certification within the first 90 days of employment
  • S. citizenship required; ability to obtain and maintain a Top Secret/SCI clearance.

Benefits

  • Highly competitive salary
  • Fully covered healthcare, dental, and vision coverage
  • 401(k) and company match
  • Take as you need PTO + 11 paid holidays
  • Education & training benefits
  • Generous Referral Bonuses
  • And More!

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