Senior Software Engineer, Productization – AI Systems

🕒 Abril 3

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $142.000 - $153.000 / ano

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

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Aptima

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 1995

🤖 Inteligência Artificial

📚 Educação

🏛️ Governo

Artificial Intelligence • Education • Government

A Aptima está na vanguarda da revolução de como os humanos aprendem, treinam e trabalham ao utilizar tecnologias avançadas de inteligência artificial. Sua missão é otimizar o desempenho humano através do design e engenharia cuidadosos de sistemas de IA centrados no ser humano. Com projetos como o Sidekick Training Accelerator™, eles automatizam e aprimoram o desenvolvimento de treinamento utilizando IA generativa e modelos de linguagem de grande escala. A Aptima colabora com entidades como a Marinha dos Estados Unidos para produzir soluções de IA que aceleram o desenvolvimento de treinamento, demonstrando sua expertise em eventos como o I/ITSEC. Suas iniciativas concentram-se em melhorar as capacidades humanas na era da IA, abordando desafios de treinamento, aprendizagem e prontidão.

Descrição

• Lead the technical maturation of advanced prototypes into production-ready systems, identifying gaps in architecture, scalability, reliability, and usability. • Define and drive technical roadmaps that align product features with customer requirements. • Identify and implement variability points to enable rapidly tailoring solutions to the needs of different customers. • Establish criteria for MVPs, beta releases, and production readiness. • Lead planning and implementation of system architectures for AI-enabled software systems, including APIs, services, data pipelines, and deployment infrastructure. • Make informed tradeoffs between research flexibility and product stability, performance, and maintainability. • Guide refactoring of research codebases into modular, reusable, and testable components. • Collaborate with UI/UX designers to understand and incorporate end user interaction needs into architecture decisions. • Design and implement workflows for training, evaluation, deployment, and monitoring of AI/ML models. • Establish MLOps practices including versioning, reproducibility, CI/CD, performance monitoring, and lifecycle management. • Work closely with researchers to transition experimental models into operational pipelines. • Lead containerized deployments using Docker and related tooling; support cloud and on-premise environments. • Apply modern DevSecOps practices to improve system reliability, security, observability, monitoring, logging, and operational diagnostics. • Anticipate operational risks and design mitigations for real-world usage.

🎯 Requisitos

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent practical experience). • Ability to obtain and maintain a U.S. Government security clearance. • 6+ years of professional experience in software engineering, with demonstrated ownership of complex systems. • Strong proficiency in Python and experience with production-quality software development. • Demonstrated experience transitioning prototypes or early-stage systems into production or near-production environments. • Strong understanding of AI/ML systems, including model integration, evaluation, and deployment considerations. • Hands-on experience with containerization (Docker) and modern deployment workflows. • Ability to lead technical planning, break down ambiguous problems, and drive execution across teams. • Strong communication skills and comfort working with researchers, engineers, and external stakeholders. • Willingness to travel to support integration, deployment, or customer activities.