AI Software Engineer – Agentic SDLC
We are seeking experienced AI Software Engineers to join a forward-looking engineering team focused on AI-augmented / Agentic SDLC. In this role, you will utilize Generative AI tools across the entire software development lifecycle—from design and coding to testing and documentation—while maintaining high standards of quality, security, and maintainability. This position is ideal for engineers who are adaptable, detail-oriented, and passionate about working at the intersection of modern software engineering and AI.
Key Responsibilities
- Implement AI-Augmented / Agentic SDLC (Code Generation) for full-stack development
- Design, build, test, and maintain full-stack applications using AI assisted SDLC
- Generate clean, scalable, and maintainable code following best practices using AI assisted tools and agents
- Utilize GenAI tools (e.g., GitHub Copilot, Cursor, Claude) to accelerate code generation, testing debugging, and documentation
- Define clear prompts, task specifications, and acceptance criteria to effectively guide AI tools and agents for code generation
- Take full ownership of all code changes, including AI-generated code, ensuring proper review, testing, and validation prior to production release
- Apply spec-driven development practices to structure and streamline implementation
- Design and develop AI agents, including workflows, tool integrations, and orchestration logic
- Review and validate AI-generated outputs for correctness, security, and performance
- Refactor and modernize existing applications using AI-assisted approaches to improve maintainability and performance
- Contribute to prompt engineering standards and AI development best practices
Required Qualifications
- 8+ years of experience in software engineering with proficiency in Java and AI
- Strong experience with AI augmented SDLC and practices
- Strong Experience building AI agents using frameworks such as LangChain, AutoGen, CrewAI, or similar
- Hands-on experience with GenAI development tools (e.g., GitHub Copilot, Cursor, Claude or similar)
- Ability to review and validate AI-generated code for quality, security, and performance
- Understanding of agentic workflows, AI-assisted development, and spec-driven code development
- Experience with prompt engineering and structured AI interactions
- Strong foundation in computer science fundamentals (data structures, algorithms, system design, OOP, databases, networking, concurrency, and CI/CD)
- Bachelor’s degree in Computer Science or related field (or equivalent experience)
Preferred Qualifications
- Experience modernizing legacy applications