Gen AI Engineer (C/Pro*C with GitHub Copilot)
Gainwell Technologies LLC (company site, opens in a new tab)5–7 yrsHyderabadOn-siteDirect career pageEst. 18–30 LPA
Posted on 28 Sept
Reach people at Gainwell Technologies LLC
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Gainwell Technologies LLC you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Own and evolve enterprise-wide GitHub Copilot enablement focused on C/Pro*C workflows in Linux/Unix legacy environments with an emphasis on secure, governed adoption.
- Design, maintain, and operationalize reusable prompt files, custom instructions, and guided workflows to improve developer productivity, quality, and security.
- Collaborate with platform, security, and product teams to implement guardrails, measure AI-assisted development impact, and build supporting GenAI services on Azure.
Minimum Requirements
- 5–7 years of software engineering experience with strong engineering discipline including testing, code reviews, and CI/CD.
- Hands-on experience with GitHub Copilot productization: designing and operating prompt files, custom instructions, and reusable agent workflows.
- Practical experience with C and Pro*C in Linux/Unix environments including embedded SQL, build processes, shell scripting, and database interactions.
- Familiarity with GitHub fundamentals (branching, PR workflows, GitHub Actions) and Azure fundamentals for deploying and securing services (App Service, Key Vault).
Ideal Candidate Profile
- Experienced in maintaining and enhancing large legacy C/Pro*C codebases with deep understanding of build and runtime environments.
- Skilled in driving AI-assisted developer tooling adoption within regulated or security-conscious enterprise environments.
- Able to design measurable adoption strategies and secure guardrails integrating GitHub Copilot with enterprise security compliance and CI/CD pipelines.