Aptima

AI Research Scientist

• 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.

Senior Software Engineer, Advanced AI Research – Prototyping

Full-stack Engineer

• 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.

Senior Software Engineer, Advanced AI Research – Prototyping

Senior Software Engineer, Productization – AI Systems