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Greenway Health

Bengaluru · On-site

Software Engineer - AI

Full-timePosted
Salary
Not disclosed
Experience
3–6 years
Eligible batches
2020 – 2023
Location
BengaluruOn-site

About the role

Greenway Health is looking for a software engineer who will lead AI‑first development, using large language models to turn requirements into production‑ready code while ensuring quality, security and maintainability.

Responsibilities

  • Leverage AI‑assisted tools to generate, test, document and refactor software components.
  • Translate business and technical requirements into precise prompts, implementation plans and acceptance criteria.
  • Produce the majority of initial code drafts with AI, then rigorously validate and refine them.
  • Identify and correct AI hallucinations, incorrect assumptions, security gaps and missing logic.
  • Create automated tests and ensure AI‑generated code meets architectural, performance and security standards.
  • Develop reusable prompt templates and AI‑native workflows, and mentor peers in adopting these practices.

Eligibility

  • Minimum three years of professional software development experience.
  • Strong background in building production‑grade applications.
  • Proficiency in at least one modern programming language.
  • Hands‑on experience with AI coding assistants or large language models.
  • Good understanding of APIs, databases, cloud services, testing, CI/CD and secure coding.

Skills

Programming in modern languagesAI coding tools and prompt engineeringAPI design and integrationDatabase managementCloud servicesTesting and CI/CD pipelinesSecure coding practicesDebugging and problem solving

Resume keywords

Asked for

  • Programming
  • AI coding tools
  • APIs
  • Databases
  • Cloud services
  • Testing
  • CI/CD
  • Secure coding
  • Prompt engineering
  • Debugging

Nice to have

  • GitHub copilot
  • ChatGPT
  • LLM applications
  • AI governance
Tailor my resume with these

Benefits

  • Opportunity to shape AI‑native development processes.
  • Collaboration with product, QA, DevOps, architecture and security teams.
  • Exposure to cutting‑edge AI tools and large language models.
  • Professional growth in emerging AI‑driven software engineering.

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