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AI Summary Powered by Claude
Citizenship required)OverviewWe 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 m…
Job description
Citizenship required)OverviewWe 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.What You’ll DoDesign, 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.Required QualificationsAI-Driven Engineering ExperienceWe are specifically seeking engineers who integrate AI into their daily workflow.Hands-on experience with:AI-assisted coding tools (e.g., GitHub Copilot, Claude Code, or similar) for:Code generation and refactoringDebugging and automated test creationIDE‑integrated AI workflowsLarge language model platforms (OpenAI, Anthropic, Google Gemini, etc.)Writing effective prompts and validating AI-generated outputHuman-in-the-loop development practicesEvaluating AI output for correctness, performance, safety, and biasIncorporating AI/ML techniques into software engineering processesAutomated testing frameworksCore Technical QualificationsBachelor’s degree in Computer Science or related field with 4–8 years of experienceOR Master’s degree with 2–6 years of experienceStrong object-oriented programming experienceProficiency in C, C++, and/or Ada (Ada preferred but not required)Experience developing real-time, multi-threaded systemsFamiliarity with Linux (Red Hat), virtual machines, and hypervisorsExperience with low-level communication protocols (TCP/...
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