Lead AI/ML Software Engineer

Full-stack EngineerSoftware EngineerFull TimeRemoteLeadTeam 201-500

Location

United States

Posted

47 days ago

Salary

$180K - $230K / year

Seniority

Lead

Job Description

Lead AI/ML Software Engineer

Raft Company Website

Role Description As Lead AI/ML Software Engineer for [R]AIMS, you will serve as a senior technical leader responsible for evolving the architecture, execution, and engineering rigor of Raft’s AI Mission System. You will be hands-on in the codebase, leading by doing, while also setting technical direction and raising the quality of engineering across the team. - Drive architectural decisions across the [R]AIMS platform, evaluating tradeoffs across performance, scalability, security, and maintainability. - Lead major technical epics from conception through delivery, decomposing ambiguous problems into executable plans. - Simplify and rationalize distributed system architecture as the platform scales. - Optimize platform performance across both edge and cloud deployment targets. - Establish strong engineering foundations and reusable technical patterns. - Mentor engineers at multiple levels, conducting design reviews and providing substantive code feedback. - Partner with AI/ML engineers on model integration and operational deployment of agentic workflows. - Engage directly with customers and program stakeholders across the Department of Defense. Qualifications - 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. - Exceptional technical communication skills; able to lead through influence across engineering, product, and leadership stakeholders. - Proven experience designing and evolving distributed systems, including service decomposition and fault tolerance. - 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. - Demonstrated technical leadership over large, cross-functional engineering initiatives. - Strong system design and architecture decision-making ability. - 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. - US citizenship required; ability to obtain and maintain a Top Secret/SCI clearance. Requirements - Experience building AI/ML infrastructure or agentic systems. - Experience with streaming and event-driven architectures, particularly Kafka. - Experience with platform engineering and internal developer tooling. - Experience with real-time inference or operational AI systems in latency-sensitive environments. - Experience building secure, compliant systems for regulated or mission-critical environments. - Prior work in defense, national security, or classified program environments. - Active clearance preferred. 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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