Product Engineer | AI-Native Development | 5 to 10 years
Framsikt (company site, opens in a new tab)5–10 yrsBengaluruOn-siteDirect career pageEst. 18–30 LPA
Posted on 9 Sept
Reach people at Framsikt
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 Framsikt 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 end-to-end development of AI-native software using AI coding agents like Cursor, Claude Code, and GitHub Copilot to design robust, production-ready systems.
- Drive architectural decisions impacting scale, security, APIs, performance, technical debt, and product quality including automated testing, CI/CD, and observability.
- Collaborate closely with Product and Design to shape technical solutions and rapidly move prototypes to production.
Minimum Requirements
- 5+ years of engineering experience with strong fundamentals; experience with C#, SQL, Angular, TypeScript, and Azure is a plus but not mandatory.
- Professional technical graduation or master's degree required.
- Proven experience in system design, architecture, APIs, data management, testing, and production engineering.
- Work Experience Required: 5+ years. Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in autonomous problem-solving and navigating ambiguity with end-to-end ownership of complex systems.
- Comfortable leveraging AI coding agents as productivity multipliers and engaging experimentally with new AI tools and workflows.
- Strong systems-thinking mindset focused on engineering quality, reliability, automation, and maintainability in AI-driven development environments.