Locations

• Bangalore

Minimum Qualification

• BTech with a minimum of 4-5 years of industry experience as a Software Engineer, with demonstrated ownership of production systems end-to-end

About 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 systems

Must 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-up

Good 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