Harvey AI Inc. logo

Staff Software Engineer, Backend

Job Overview

Location

Bengaluru

Job Type

Full-time

Category

Software Engineering

Date Posted

May 26, 2026

Full Job Description

đź“‹ Description

  • • Design and own backend services and APIs that power Harvey’s web applications, workflows, and integrations, ensuring seamless delivery of AI-driven product experiences.
  • • Collaborate closely with Product to prioritize customer-focused work and deliver reliable features quickly in a fast-moving environment with high ownership.
  • • Model and manage data in Postgres and related data stores to support low-latency, reliable user experiences for enterprise and government customers.
  • • Build secure, multi-tenant, permissions-aware backend systems with comprehensive auditing capabilities to meet enterprise security requirements.
  • • Implement backend features and workflows that orchestrate interactions with LLMs and agentic AI tools, translating cutting-edge AI capabilities into production-grade services.
  • • Partner with frontend, product, and design teams to define clear API contracts and ship features end-to-end with alignment across disciplines.
  • • Add meaningful logging, metrics, and distributed tracing to ensure services are observable, debuggable, and ready for on-call ownership.
  • • Improve system performance and scalability by profiling bottlenecks, optimizing database queries, and refining service boundaries as usage scales.
  • • Participate in code reviews, technical design discussions, and an on-call rotation for production services you own and operate.
  • • Operate services in production using logs, metrics, dashboards, and alerts to maintain high availability and rapid incident response.
  • • Leverage cloud infrastructure such as Azure, AWS, or GCP to deploy, manage, and scale backend systems efficiently and securely.
  • • Maintain strong attention to detail while shipping highly intuitive, production-ready features that directly impact customer outcomes.
  • • Uphold Harvey’s core values of Decisiveness, Simplicity, and Job’s Not Finished by acting on clear judgment, prioritizing simplicity in design, and refusing to settle for suboptimal solutions.
  • • Contribute to building foundational systems that power Harvey’s rapidly expanding product surface and define a new category in professional services AI.

🎯 Requirements

  • • 12+ years of backend engineering experience building and operating production web applications or SaaS products.
  • • Strong programming skills in Python and hands-on experience with a modern web framework (e.g., FastAPI or Flask).
  • • Hands-on experience with relational databases, specifically Postgres.
  • • Solid understanding of API design, authentication/authorization, background job patterns, and robust error handling.
  • • Experience building for cloud infrastructure such as Azure, AWS, or GCP.
  • • Comfort operating services in production using logs, metrics, dashboards, and alerts, including participation in an on-call rotation.

🏖️ Benefits

  • • Opportunity to build foundational systems for a generational company at a critical inflection point.
  • • Work alongside a team committed to excellence, decisiveness, and simplicity in high-impact AI product development.
  • • Unmatched personal, professional, and financial growth potential within a fast-scaling company with 1500+ customers in 60+ countries.

Skills & Technologies

Python
Flask
FastAPI
PostgreSQL
AWS
Backend
Senior
Onsite

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Harvey AI Inc. logo
Harvey AI Inc.
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About Harvey AI Inc.

Harvey AI Inc. provides a generative artificial-intelligence platform engineered specifically for the legal profession. The software integrates with law-firm workflows to automate contract drafting, review, due-diligence and regulatory research, producing lawyer-quality language grounded in up-to-date statutes and precedents. Harvey combines large language models trained on legal corpora with secure, private-cloud deployment and firm-specific fine-tuning to maintain confidentiality and compliance. Clients range from global law firms to in-house legal departments seeking efficiency gains without compromising accuracy or security. The company was founded in 2022 and is headquartered in San Francisco, California.

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