Sixtyfour is hiring a software engineering intern to help build an intelligence infrastructure that turns a single name, email, or domain into a full, verified profile of a person or company by dispatching AI agents across the open web, public records, and social platforms. The role involves designing and implementing the agents that gather and reason over evidence, adding new data sources, building large-scale enrichment pipelines (batching, caching, retries, orchestration), and shipping end-to-end features so customers see results quickly. The team emphasizes upfront design and system thinking, rigorous evals and tests to measure improvement, and working at the intersection of applied ML, backend systems, and product.
Candidates need strong engineering fundamentals, system-design instincts, experience shipping a real project they can defend, and an ability to think at scale; fluency in at least one language and quick learning of others is required (stack: Python backend, TypeScript/React product). Curiosity about LLMs and agents is essential; OSINT, distributed systems, workflow engines, production databases, and UI experience are strong pluses. The role is in-person in San Francisco, open to junior and early-career applicants, offers $6,000-$10,000/month, visa sponsorship, mentorship, a budget for LLM tooling, office lunch and offsites. Interview steps include a 15-minute screen, take-home, virtual onsite, and founder call.
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