Responsibilities

• Design, build, and ship features end to end across a React and TypeScript front end and Python or Node.js services, taking ownership from technical design through production support.
• Model data and design APIs that hold up as requirements change — clear contracts, sane migrations, and schemas that will not need to be rescued in six months.
• Build AI-native product capabilities: LLM orchestration, agentic and multi-step workflows, retrieval over engagement data, and structured output that downstream systems can rely on.
• Use AI coding tooling aggressively in your own development loop while maintaining the review discipline that keeps generated code from becoming a liability.
• Automate internal engineering and security workflows, turning processes our researchers currently run by hand into durable product surface.
• Write secure code by default — input validation, authentication and authorization, secrets handling, dependency hygiene — and treat security review as part of shipping, not a gate at the end.
• Participate in code review as both author and reviewer, raising the standard of the codebase rather than just approving diffs.
• Deploy and operate what you build: containerized services, cloud infrastructure, CI/CD pipelines, monitoring, and the on-call ownership that comes with running production systems.
• Collaborate directly with security researchers, auditors, and product stakeholders to translate deep domain expertise into software that non-experts can use.
• Contribute to technical direction — framework choices, architecture, and the tradeoffs behind them — and document decisions so the team can move without you in the room.

Qualifications

• 4 or more years building and shipping production web applications, with genuine ownership on both the front end and the back end.
• Strong React and TypeScript, including modern state management, component architecture, and CSS competent enough to build an interface without a designer hovering.
• Strong server-side skills in Python, Node.js, or both, with production experience designing REST or GraphQL APIs.
• Solid relational database experience — PostgreSQL preferred — including schema design, query performance, and migrations.
• Experience with cloud infrastructure (AWS, GCP, or Azure), Docker, and CI/CD pipelines you configured yourself.
• Demonstrated AI-forward development practice: you integrate LLM APIs into real products, you use AI coding assistants as part of your daily loop, and you can articulate where they accelerate you and where they need a human.
• Security-minded engineering instincts and a working understanding of common web vulnerability classes and how to prevent them.
• Excellent asynchronous written communication and the self-direction to own outcomes across time zones without being managed day to day.
• Comfort operating in ambiguity in a constantly changing and evolving work environment where growth is non-stop.
• Willingness to learn the technical aspects of blockchain and cybersecurity.

Bonus Points

• Web3 development experience — ethers.js or viem, wallet integrations, RPC providers, or Solidity and Rust smart contract familiarity.
• Experience building agentic systems, working with the Model Context Protocol, vector databases, or evaluation frameworks for LLM features.
• DevSecOps experience: infrastructure as code, secrets management, supply chain security, or automated security scanning in CI.
• Prior work at a cybersecurity, fintech, or crypto company, or on products handling sensitive customer data.
• Experience taking a product from zero to one on a small team.
• Open source contributions.
• Knowledgeable of the latest trends in Blockchain and DeFi.

Originally posted on Himalayas