Overview
Design, build and scale backend and full-stack services for Konovo's AI-enabled healthcare insights platform, working with the LITE team and product squads, and mentoring junior engineers.
What you'll do
- Design, build, and maintain scalable services and distributed systems that support Konovo's AI-enabled healthcare insights platform
- Write high-quality, testable, and maintainable code while adhering to engineering best practices
- Partner with the LITE (LLM Innovation & Technology Engineering) team and cross-functional product squads to integrate emerging AI capabilities into core systems
- Lead technical design discussions, drive architectural decisions, and mentor junior engineers
- Optimize system performance, reliability, and observability across services
- Collaborate with Product Managers to refine requirements, map and ensure technical feasibility
- Contribute to secure, compliant engineering practices aligned with responsible AI and healthcare data standards
- Proactively identify risks, performance bottlenecks, and architectural improvements
- Support release readiness, deployment processes, and post-release monitoring
What you'll need
- 6–10+ years of hands-on software engineering experience building production-grade systems
- Strong expertise in at least one backend language (e.g., Java, Python, Go, C#) and familiarity with modern frameworks
- Frontend or full-stack development experience with JavaScript/TypeScript and modern frameworks such as React.js or Next.js
- Experience designing and scaling distributed systems, microservices, or cloud-native architectures, with hands-on ownership of microservices across the stack and an approximately 60% backend focus
- Strong experience designing, building, and integrating RESTful APIs, with a solid understanding of API best practices, security, and performance patterns
- Solid understanding of databases (SQL/NoSQL), messaging systems, and API design
- Familiarity with cloud platforms such as AWS, Azure, or GCP
- Strong foundation in data structures, algorithms, and system design
- Comfortable working in Agile environments and collaborating across product and engineering teams
- Ability to communicate complex technical topics clearly, both written and verbal
- High ownership mindset with disciplined follow-through and a bias toward action
- Ability to apply AI tools and strong engineering fundamentals to build AI-enabled features and workflows
- Curiosity and openness to AI-enhanced engineering workflows, tooling, and delivery models, and exposure to using AI for development, with hands-on proficiency in AI coding tools such as Claude Code for implementation, debugging, testing, and refactoring
- Adaptability to thrive in a fast-changing environment while navigating challenges collaboratively
Nice to have
- Node.js experience
- Experience working with platform or internal enablement teams
- Experience building AI agents
Details
- Location: Bengaluru (Whitefield), India
- Hybrid work environment
Read the full description and apply on the company’s own careers page.