Senior Software Engineer, Advanced AI Research – Prototyping

🕒 April 3

🇺🇸 United States – Remote

💵 $142k - $153k / year

⏰ Full Time

🟠 Senior

🧠 AI Research Scientist

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Aptima

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1995

🤖 Artificial Intelligence

📚 Education

🏛️ Government

Artificial Intelligence • Education • Government

Aptima is at the forefront of revolutionizing how humans learn, train, and work by leveraging advanced artificial intelligence technologies. Their mission is to optimize human performance through the thoughtful design and engineering of human-centered AI systems. With projects like the Sidekick Training Accelerator™, they automate and enhance training development by utilizing generative AI and large language models. Aptima collaborates with entities such as the US Navy to produce AI solutions that accelerate training development, showcasing their expertise at events like I/ITSEC. Their initiatives focus on enhancing human capabilities within the age of AI by addressing training, learning, and readiness challenges.

📋 Description

• Architect and develop advanced software systems that support cutting-edge AI research and experimental prototypes. • Collaborate closely with scientists and researchers to translate novel algorithms, models, and concepts into functional prototype systems. • Design and implement flexible research platforms that enable rapid experimentation, evaluation, and iteration. • Contribute to the development of innovative AI-enabled capabilities across domains such as human–AI teaming, synthetic media analysis, influence modeling, and agent-based systems. • Lead the design and implementation of software architectures for complex research prototypes, including APIs, data pipelines, model integration layers, and evaluation frameworks. • Build modular and extensible systems that allow Aptima researchers and external collaborators to rapidly integrate new models, analytics, and experimental capabilities. • Balance rapid research iteration with maintainable and well-structured engineering practices. • Support experimentation with emerging AI approaches including agentic systems and multimodal analytics. • Implement and integrate machine learning and AI models within experimental systems and research testbeds to support internal evaluation and integration with external systems for large-scale evaluation experiments and demonstrations. • Develop workflows that support model training, evaluation, experimentation, and comparative analysis. • Develop containerized research environments using tools such as Docker to support reproducible experimentation. • Assist in preparing prototype systems for technology demonstrations with sponsors such as DARPA, DoW laboratories, and operational partners. • Provide technical leadership on R&D projects, helping shape system architectures and technical approaches, and collaborating with engineering leadership across the company. • Work across multidisciplinary teams including AI researchers, cognitive scientists, and engineers. • Mentor junior engineers and research staff on software architecture, engineering practices, and scalable research infrastructure. • Participate in customer engagements, technical reviews, demonstrations, and collaborative research activities.

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, AI/ML, or a related technical field (or equivalent practical experience). • Ability to obtain and maintain a U.S. Government security clearance. • 6+ years of professional software engineering experience developing complex technical systems. • Strong proficiency in Python and modern software engineering practices. • Experience building complex research prototypes or experimental systems. • Familiarity with AI/ML technologies and integrating models into software systems. • Experience architecting modular software systems and designing APIs or service-based architectures. • Hands-on experience with containerization (e.g., Docker) or reproducible research environments. • Ability to work in ambiguous, exploratory environments and translate evolving research ideas into working software. • Strong communication skills and ability to collaborate with researchers, engineers, and external partners. • Willingness to travel to support integration, demonstration, or customer activities.