Software Engineer

• Build and maintain Python backend services, APIs, command-line tools, and background processing workflows.
• Develop and improve web dashboards and internal review tools using TypeScript, React, and modern web frameworks.
• Maintain pipelines that ingest research papers, process documents, extract structured information, and evaluate results.
• Integrate external APIs and AI model providers, handling validation, retries, timeouts, rate limits, and usage costs.
• Work with relational databases and object storage, including schema changes, migrations, queries, and data integrity checks.
• Investigate bugs and production issues across services, pipelines, and interfaces; address root causes and add useful regression coverage.
• Help maintain deployment automation, continuous integration, logging, monitoring, and operational documentation.
• Improve existing code through practical refactoring, dependency maintenance, automated tests, and code review.
• Collaborate with engineering and research colleagues to turn requirements and experimental workflows into reliable software.

• Typically 1–5 years of professional software engineering experience, or equivalent practical experience delivering and maintaining production software.
• Strong Python skills, including building maintainable services or data processing applications, managing dependencies, and writing automated tests.
• Experience designing, consuming, and troubleshooting HTTP APIs, with a sound understanding of JSON, validation, authentication, and error handling.
• Working knowledge of TypeScript or JavaScript and experience contributing to React applications or a comparable modern frontend framework.
• Practical SQL and relational database experience, including data modelling, migrations, and debugging queries.
• Confidence working in Linux environments and using the command line to investigate logs, configuration, processes, and service failures.
• Experience with Git, pull requests, code review, automated testing, and continuous integration.
• An understanding of secure engineering practices, including access controls, secrets management, and careful handling of private data.
• The ability to navigate an existing codebase, trace issues across components, and make focused, well-tested changes.
• Clear communication, practical problem-solving, and the judgment to work independently while asking for input when requirements or risks are unclear.

• Experience with FastAPI, Pydantic, PostgreSQL, Supabase, Next.js, or similar tools.
• Experience integrating LLM APIs, building AI-assisted workflows, or evaluating model outputs for accuracy, reliability, latency, and cost.
• Familiarity with PDF parsing, OCR, document extraction, scientific datasets, or evidence provenance.
• Experience with distributed jobs, asynchronous processing, reproducible pipelines, or automated benchmarking.
• Familiarity with Docker, Ansible, systemd, GitHub Actions, cloud hosting, or infrastructure automation.
• Experience with Bittensor, decentralized compute networks, or systems for evaluating independently submitted code.
• Exposure to Rust, native Python extensions, or WebAssembly.
• An interest in scientific research, open-source software, and tools that make research easier to inspect and reuse.

You don't need experience with every technology listed. Strong engineering fundamentals and the ability to learn quickly across the stack matter most.

• You can independently deliver scoped features and fixes across the backend and supporting web applications.
• Your changes are understandable, tested, and documented, with appropriate attention to security and compatibility.
• You help make processing pipelines and production services more reliable and easier to troubleshoot.
• You contribute constructively to reviews, communicate progress and blockers, and help the team turn research ideas into maintainable software.

• $1500 - $2000 per month, depending on experience.
• Opportunities for rapid professional growth in a high-impact role: a small team, a live network, and a senior engineer to learn from.
• Quarterly team retreats in inspiring locations (e.g., Vilnius, Koh Samui).
• Travel and visa support for business needs.
• Flexible remote working.

Help us build the data layer that lets AI do science properly.

in your answer to the question "Why Claims" in the application form.

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