Software Engineer, India

Posted Yesterday
Hiring Remotely in India
Remote or Hybrid
Entry level
Artificial Intelligence • Big Data • Hardware • Machine Learning
The Role
Build and maintain web and mobile systems supporting field-worker onboarding, device assignment, attendance, data collection, uploads, payments, dashboards, and operational workflows. Integrate storage and data-quality systems, improve reliability under poor connectivity, automate manual processes, monitor deployments, and troubleshoot production issues. The role partners closely with founders and operations teams, owning features end to end across frontend, backend, infrastructure, testing, deployment, and support.
Summary Generated by Built In
About Build AI

Build AI is the data hyperscaler for Physical AI. We're vertically integrated across hardware, manufacturing, logistics, collection, and model training to scale the physical labor dataset orders of magnitude faster than anyone in the world.

Job Summary

We build hardware and software to collect data from people doing physical work. We’re hiring a Software Engineer in India to build the systems that run these operations at scale.

Our field teams recruit workers, assign wearable cameras, collect devices, upload footage, and coordinate payments. Your software should make this process reliable and easy to run across cities. You will work closely with founders and operations teams to identify problems, ship solutions quickly, and improve them based on field use — owning each problem from understanding through deployment and support. You should be comfortable working across the stack and learning whatever is needed.

Key Responsibilities
  • Build web and mobile tools for field teams, partners, and internal operations

  • Build workflows for worker onboarding, device assignment, attendance, collection tracking, and payments

  • Build dashboards that make collection volume, data quality, costs, and operational problems visible

  • Integrate applications with upload, storage, and data quality systems

  • Make field workflows reliable when connectivity is poor or uploads fail

  • Automate manual processes that slow down operations or introduce errors

  • Work directly with operators to understand problems and test solutions in the field

  • Own features from design and implementation through testing, deployment, and monitoring

  • Investigate production failures and fix the underlying causes

  • Make practical trade-offs between speed, reliability, and maintainability

You may be a good fit if you have (Must-have qualifications)
  • Have personally built and shipped software used by real users

  • Can work across frontend, backend, APIs, and databases

  • Can turn an unclear operating problem into a working product

  • Can debug issues across application code, infrastructure, and third-party integrations

  • Understand testing, access control, and reliable data handling

  • Can work independently and communicate clearly with technical and nontechnical teams

Strong candidates may also have experience with (Nice-to-have qualifications)
  • Building Android applications

  • Python, TypeScript, React, and PostgreSQL

  • Building software for field operations, logistics, or workforce management

  • Large file uploads, video processing, or data pipelines

  • Building applications that work with unreliable connectivity

  • Working at an early-stage company

What we look for
  • Deep desire to solve extremely challenging problems

  • High learning rate

  • High agency

  • Intense determination

  • Attention to detail

  • Low ego

  • Creative, not constrained by how things have been done before

Immediate rejects: inability to change, limiting beliefs, low ambition.

Benefits
  • Competitive pay

  • Medical, dental, and vision packages with generous premium coverage

  • $500 per month credit for waiving medical benefits

  • Housing subsidy of $2k per month for those living within walking distance of the office

  • Relocation support for those moving to San Francisco (Financial District) or Shenzhen (Nanshan)

  • Various wellness benefits covering fitness, mental health, and more

  • Daily lunch and dinner in our office

  • Unlimited compute budget subject to ROI justification

  • Unlimited Codex and Claude credits

  • Travel

How we're different

Build believes in the Bitter Lesson. By taking a general approach of learning from humans, our addressable market is all physical labor.

We are a fully in-person team in San Francisco (Financial District) and Shenzhen (Nanshan), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.

Build AI is an equal opportunity employer. We review every application. If you do not meet every bullet, still apply. Questions: [email protected]

Skills Required

  • Personally built and shipped software used by real users
  • Ability to work across frontend, backend, APIs, and databases
  • Ability to turn unclear operating problems into working products
  • Ability to debug application code, infrastructure, and third-party integrations
  • Understanding of testing, access control, and reliable data handling
  • Ability to work independently and communicate clearly with technical and nontechnical teams
  • Experience building Android applications
  • Experience with Python, TypeScript, React, and PostgreSQL
  • Experience building software for field operations, logistics, or workforce management
  • Experience with large file uploads, video processing, or data pipelines
  • Experience building applications for unreliable connectivity
  • Experience working at an early-stage company
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The Company
30 Employees
Year Founded: 2025

What We Do

Build AI is a public benefit corporation and data hyperscaler for Physical AI. It integrates hardware manufacturing, logistics, data collection, and model training to scale egocentric physical-labor datasets for researchers and labs. Its mission is to solve physical labor and unlock human potential, advancing robotics and physical superintelligence. The company operates in San Francisco and Shenzhen and develops economically useful human-data infrastructure.

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