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We are seeking a Junior Software Engineer with AI-enabled development experience to support a large-scale modernization program involving real‑time, high‑availability, safety‑critical systems. This role combines traditional software engineering with emerging AI‑augmented development techniques to enhance delivery, code quality, and system performance. This position is ideal for engineers who actively apply AI in their day‑to‑day workflow and want to contribute to a mission-critical, complex engineering environment.
Job Responsibility:
Design, develop, test, and maintain software for real-time, high-availability systems
Use AI-assisted development tools to accelerate coding, refactoring, debugging, and automated test generation
Apply responsible AI practices across the full SDLC — requirements, design, implementation, testing, documentation, and code review
Analyze complex system requirements and translate them into efficient, maintainable designs
Develop and maintain automation scripts across development, test, and production environments
Promote code quality, reuse, traceability, and cross-team collaboration
Work independently on moderately complex tasks with moderate impact on the project team
Address technical issues using internal best practices and team collaboration
Communicate effectively with engineers, project managers, and other stakeholders
Apply standard engineering principles, processes, and tools across the software development life cycle
Requirements:
AI-assisted coding tools (e.g., GitHub Copilot, Claude Code, or similar) for: Code generation and refactoring
Debugging and automated test creation
IDE‑integrated AI workflows
Large language model platforms (OpenAI, Anthropic, Google Gemini, etc.)
Writing effective prompts and validating AI-generated output
Human-in-the-loop development practices
Evaluating AI output for correctness, performance, safety, and bias
Incorporating AI/ML techniques into software engineering processes
Automated testing frameworks
Bachelor’s degree in Computer Science or related field with 4–8 years of experience OR Master’s degree with 2–6 years of experience
Strong object-oriented programming experience
Proficiency in C, C++, and/or Ada (Ada preferred but not required)
Experience developing real-time, multi-threaded systems
Familiarity with Linux (Red Hat), virtual machines, and hypervisors
Experience with low-level communication protocols (TCP/IP, UDP, SCTP)
Experience with hardware or complex system integration
Experience with source control and configuration management tools
Strong communication skills and ability to work independently and collaboratively
Ability to obtain and maintain a Public Trust clearance