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Salary
$23k – $62k per year (Estimated)
Location
In office (Noida)
Seniority
Senior · 5+ years exp
Overview
Company
Impact
Profile match
Mulberri is an AI-native insurtech company providing an agentic AI platform that automates commercial P&C insurance underwriting, streamlines submissions, and enables more accurate risk assessment and compliance.

Responsibilities:

  • Design, build, and maintain backend services in Java and Python that power submission intake, document extraction, and underwriting workflows.
  • Build and optimise LLM-powered extraction pipelines: prompt engineering, output parsing, multi-pass architectures, confidence scoring.
  • Own end-to-end delivery of features from technical design through deployment, monitoring, and iteration.
  • Architect integration layers with third-party insurance platforms.
  • Write infrastructure-as-code and manage AWS services for scalability and reliability.
  • Actively use AI coding assistants (Claude Code, Copilot, Cursor) to accelerate your own development velocity and help the team adopt these tools effectively.
  • Participate in product discussions, challenge assumptions, and contribute to technical architecture decisions.
  • Mentor junior engineers and establish engineering standards for the IDC.

Requirements:

  • 5+ years of professional software engineering experience with strong Java and Python proficiency.
  • Production experience with AWS services, not just deployed a Lambda once, but real operational ownership.
  • Demonstrated experience building AI/ML-powered products: LLM integrations, document understanding, NLP pipelines, or equivalent.
  • Daily, habitual use of AI tools in your engineering workflow; we want to see that you've genuinely integrated AI into how you write, debug, review, and ship code.
  • Strong API design sensibility (REST, event-driven) and database design skills (SQL, schema modelling).
  • Ownership mindset: you don't wait for tickets to be perfectly spec'd; you clarify, decide, build, and ship.
  • Clear written and verbal communication: you can explain a technical tradeoff to a PM or a product constraint to an engineer.
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