[Remote] Lead AI/ML Software Engineer

Note: The job is a remote job and is open to candidates in USA. Raft is a customer-obsessed non-traditional defense tech company dedicated to empowering U.S. military and government agencies with cutting-edge AI/ML and data solutions. They are seeking a Lead AI/ML Software Engineer to evolve the architecture and engineering rigor of their AI Mission System, driving architectural decisions and leading major technical initiatives while partnering closely with cross-functional teams.

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

Skills

• 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
• US citizenship required; ability to obtain and maintain a Top Secret/SCI clearance
• Experience building AI/ML infrastructure or agentic systems, including orchestration frameworks, tool-use patterns, and LLM integration in production
• Experience with streaming and event-driven architectures, particularly Kafka, Kafka Streams, or Apache Flink
• Experience with platform engineering and internal developer tooling, including golden-path frameworks, shared libraries, and developer experience improvements
• Experience with real-time inference or operational AI systems in latency-sensitive environments
• Experience building secure, compliant systems for regulated or mission-critical environments, including familiarity with IL4/IL5/IL6 requirements or RMF processes
• Prior work in defense, national security, or classified program environments
• Active clearance preferred

Benefits

• 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

Company Overview