Lead AI/ML Software Engineer

🕒 il y a 11 jours

⛰️ Colorado, Florida, +4 états de plus – Distant

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

💵 $180 000 - $230 000 / an

⏰ Temps Plein

🟠 Senior

🧑‍💻 Développeur Full-Stack

🦅 Parrain de Visa H1B

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Raft

Site WebLinkedInTous les Emplois

51 - 200 employés

🤖 Intelligence artificielle

🏛️ Gouvernement

☁️ SaaS

Artificial Intelligence • Government • SaaS

Raft est une entreprise qui collabore avec les agences publiques pour résoudre des problèmes complexes affectant la vie de millions d'Américains. Spécialisée dans les solutions numériques de pointe, Raft se concentre sur les données et l'IA, les plateformes numériques à grande échelle et les applications logicielles complexes. La société met l'accent sur l'architecture logicielle, le design UX/UI, et les tests automatisés pour moderniser les applications existantes et les systèmes de données afin d'améliorer la rapidité, la sécurité et l'évolutivité. Raft met également en œuvre des stratégies durables de gouvernance des données et des systèmes d'IA centrés sur l'humain pour améliorer la prise de décision. Partenaire du gouvernement et du secteur commercial pour l'avancement des solutions technologiques, Raft s'engage à offrir aux organisations des produits qui privilégient les résultats pour les utilisateurs par rapport aux fonctionnalités.

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

🎯 Exigences

• 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.

🏖️ Avantages

• 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!