AI Native Software Engineer

Greenway Health seeks an AI Native Software Engineer in Bangalore, India, to help move software development toward an AI-first engineering model. The engineer will use AI tools as a development partner to accelerate delivery while retaining responsibility for the correctness, security, maintainability, testing and production readiness of the final software.

Responsibilities

• Translate business, product and technical requirements into precise prompts, implementation plans and acceptance criteria. Use AI tools to produce 80–90% of initial solution drafts, then review and refine them against requirements and expected outcomes.
• Use AI-assisted tools for coding, design, testing, documentation, debugging and refactoring. Identify hallucinations, inaccurate assumptions, invalid code, missing logic and edge cases, security issues and gaps in requirements.
• Create automated tests that verify expected behavior and business outcomes. Ensure generated code meets company standards for architecture, performance, security, maintainability and documentation.
• Build reusable prompt templates and AI-native development workflows. Document prompts, assumptions, validation steps, risks and final implementation decisions. Collaborate with product, QA, DevOps, architecture and security teams, and guide other engineers in adopting AI-native practices.

Required qualifications

• A strong software engineering background, experience building production-grade applications and proficiency in at least one modern programming language. Experience using AI coding tools or large language models for software development is required; no minimum number of years is stated.
• Understanding of APIs, databases, cloud services, testing, CI/CD and secure coding. Ability to write precise prompts, critically assess AI-generated output, debug, test, review code and solve problems. Strong communication, documentation skills and ownership of final deliverables are expected.

Preferred experience:

• GitHub Copilot, Cursor, ChatGPT, Claude, Gemini, Amazon Q Developer or similar tools; prompt libraries, AI development workflows or internal engineering automation.
• LLM applications, AI agents, retrieval-augmented generation or workflow orchestration; leading process transformation or engineering adoption of new practices; and knowledge of AI governance, data privacy, security and responsible AI usage.