Lead AI/ML Software Engineer

🕒 June 10

⛰️ Colorado, Florida, +4 more states – Remote

⛰️ Colorado – Remote 🐊 Florida – Remote 🌺 Hawaii – Remote 🍂 Massachusetts – Remote ⚔️ Virginia – Remote ☕ Washington – Remote

💵 $180k - $230k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 34%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Raft

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🎖️ Defense

🏥 Healthcare

Consulting • Defense • Healthcare

Raft is a company that partners with public agencies to solve complex problems affecting the lives of millions of Americans. Specializing in cutting-edge digital solutions, Raft focuses on data and AI, digital platforms at scale, and complex software applications. The company emphasizes software architecture, UX/UI design, and automated testing to modernize legacy applications and data systems for speed, security, and scalability. Raft also implements sustainable data governance strategies and human-centered AI systems to enhance decision-making. As a government and commercial partner in advancing technology solutions, Raft is dedicated to empowering organizations with products that prioritize user outcomes over features.

📋 Description

• 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

🎯 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 • US 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!