Member of Technical Staff, India

About this job

Human Archive, a research lab backed by Y Combinator founded by Stanford and UC Berkeley researchers, is on a mission to model human embodied intelligence by building custom hardware, deploying them globally, and publishing research. As a Member of Technical Staff in India, you will build and run the software platform behind a large-scale data collection and annotation operation. This includes designing schemas, building APIs, developing internal web apps and dashboards, creating data ingestion integrations, and deploying systems on AWS. A normal day involves working directly with the local operations team to solve real-world constraints, building tooling for human review workflows, ensuring strict data integrity, and shipping robust end-to-end features using Python, FastAPI, PostgreSQL, and React. You will own meaningful systems entirely from day one in a lean, fast-paced, and deeply technical environment.

Responsibilities

• Design and build end-to-end services using Python, FastAPI, PostgreSQL, and React.
• Develop internal web apps and dashboards to track deployments, metrics, and KPIs.
• Manage data models requiring high correctness, idempotent writes, and explicit table grain.
• Build tooling for human-in-the-loop review and annotation workflows.
• Create and maintain integration surfaces for automated machine clients over authenticated endpoints.
• Deploy, operate, and troubleshoot applications and services across AWS infrastructure layers.
• Perform performance tuning tasks including query profiling, indexing, caching, and database optimization.
• Collaborate directly with the operations team to align software solutions with real-world workflow constraints.

Requirements

• Strong production experience in Python with FastAPI or a comparable framework.
• Real PostgreSQL depth covering schema design, migrations, indexing, and query performance.
• Front-end proficiency in React and TypeScript to independently ship usable internal tools.
• Solid API design judgment including versioning, idempotency, and batch endpoints.
• Strong data-integrity instincts regarding state derivation, data duplication, and identifiers.
• Ability to debug across application, database, network, and cloud service boundaries.
• Fluent use of AI coding tools like Claude, Claude Code, or equivalent while owning the final codebase.
• Comfort with high ambiguity, autonomous ownership, and clear technical writing.

Good to have

• Experience serving or integrating model inference in a production path.
• Background in annotation, labelling, or human-in-the-loop review systems.
• Experience with clients tolerating unreliable connectivity and reconciling cleanly.
• Familiarity with media or sensor data at scale, video pipelines, or large binary object storage.
• Experience with infrastructure as code, CI/CD, observability, or exposing internal data to language models.

Who should apply

This role suits a strong, independent generalist software engineer who thrives in ambiguity and takes complete ownership of end-to-end systems. If you enjoy working closely with operations teams, value strict data correctness, and are comfortable moving fast with modern AI tools while writing robust Python, FastAPI, PostgreSQL, and React code, you will fit right in. The posting does not mention fresher eligibility, so candidates with relevant technical depth are encouraged to apply based on the stated production requirements.

Frequently asked questions