Location: BangaloreMinimum Qualification: BTech with a minimum of 4-5 years of industry experience as a Software Engineer, with demonstrated ownership of production systems end-to-endAbout the Role: As AI coding agents take on more of the day-to-day implementation work, this role has evolved from a narrow backend/algorithms position into a broader one. We're looking for experienced engineers who can operate across the stack — design, backend, frontend, and infra — using agents to move fast without compromising on rigor. R&D remains central to what we do; the difference is that engineers here are now expected to own more of the system, not just a slice of the code.Responsibilities:- Drive R&D: designing, prototyping, and validating new approaches to hard, open-ended problems- Own the design and architecture of core systems — from algorithms and data structures to how they're exposed, deployed, and scaled- Works independently with minimal hand-holding — comfortable taking a loosely-defined problem, figuring out the right approach, and driving it to completion without needing constant direction- Use AI coding agents to accelerate development across backend, frontend, and infra, while applying rigorous review, testing, and validation to everything shipped- Design and evolve system architecture, including RDBMS schema, APIs, and cloud infrastructure- Set up and maintain CI/CD pipelines, and take ownership of deployment, monitoring, and reliability- End-to-end responsibility — from problem definition through design, development, testing, and release- Work in a cross-domain team with ML engineers, immunologists, biochemists, and bioinformaticians, translating scientific problems into engineering systemsMust Have:- Strong software design and architecture judgment — able to make and justify design decisions, not just implement them- Practical, hands-on experience using AI coding agents (e.g., Claude Code, Cursor, Copilot) for real engineering work, with the judgment to critically review, test, and validate agent-generated code rather than accept it as-is- Strong Data Structures and Algorithms fundamentals- Experience working across the stack — comfortable picking up backend, frontend, or infra work as needed, rather than staying in one lane- Hands-on experience with cloud platforms (AWS/GCP/Azure) and cloud infrastructure- Experience setting up or maintaining CI/CD pipelines- Hands-on experience with at least one RDBMS- Ability to work and communicate effectively in a cross-domain team- Comfort exploring ambiguous, unfamiliar problem statements and adapting fast in an early-stage start-upGood to Have:- Prior professional experience in Go, Python, C++, or Bash, Postgres- Experience building tooling around AI agents — custom prompts, eval harnesses, agent orchestration, or MCP-based integrations- Familiarity with containerization/orchestration (Docker, Kubernetes) or infrastructure-as-code (Terraform)- Any experience in data mining or scientific/biological data pipelines