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Entry-level generalist role with AI focus and metro location attracts many applicants.
Core software engineering skills are broadly transferable across industries despite AI-specific tools.
Some explicit filters (degree, hackathon participation, tool experience) but junior level broadens eligibility.
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Build applications, APIs, integrations, AI agents, and data workflows using AI tools throughout the software development lifecycle.
Validate and review AI-generated code for quality, security, performance, and maintainability; write comprehensive tests including unit, integration, regression, and end-to-end.
Collaborate with engineering, product, and domain teams to deliver reliable production code and explain technical decisions during code reviews.
Engineering degree in Computer Science, IT, Electronics, or related field.
0-2 years of software development experience; strong recent graduates may apply.
Hands-on experience with AI coding tools like Claude Code, Cursor, Codex, GitHub Copilot, or similar.
Proficiency in programming languages such as Python, TypeScript, JavaScript, Java, C#, Go, or Kotlin.
Experienced in leveraging AI tools effectively for coding, testing, debugging, and documentation tasks.
Participated in AI hackathons or similar events, able to discuss problem-solving and contributions clearly.
Demonstrates ownership of code quality and collaboration in cross-functional teams working with product and domain experts.