TECH Signal 504
Sixtyfour (YC P25) hiring software engineering intern for AI agent-based OSINT platform
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Sixtyfour, a YC P25 startup building AI agents for open-web research on people and entities, is hiring a software engineering intern in San Francisco at $6K, $10K monthly.
Only one feed carried this, so corroboration is absent. The posting reveals a real engineering stack and problem space, distributed AI agents doing OSINT at scale, which is useful signal for anyone tracking where applied AI agent work is being done. The material is a job listing, so substantive technical detail beyond what the posting describes is not available.
Written by elseif from the cluster below · every claim links back to a sourceThe three things worth knowing
Sixtyfour turns a name, email, or domain into a verified profile by deploying AI agents to research the open web, then cross-referencing and scoring what they find.
The intern role pays $6K, $10K monthly, requires in-person work in San Francisco, and the company will sponsor visas for junior-and-above students.
The stack is primarily Python for backend and AI work and TypeScript/React for the product, with listed skills including AWS, Kubernetes, Docker, fine-tuning, and evals.
THE READ
What the cluster adds up to.
Sixtyfour is a YC P25 company described as building "Intelligence Infrastructure on People and Entities." The core product takes a single identifier, a name, email, or domain, and produces a verified picture of a person or company by sending AI agents to research the open web, then checking and scoring the results. The posting frames this as analogous to how a human analyst would work, but automated and operating at scale across public records, social platforms, and other open sources.
The intern role is backend-focused and in-person in San Francisco, paying $6K to $10K monthly. The company will sponsor visas, which is notable for an internship listing. Required skills listed include AWS, Kubernetes, Python, TypeScript, Machine Learning, Docker, fine-tuning, and evals. The posting emphasizes that the team will teach their stack but will not compromise on how candidates think about problems, suggesting fundamentals and system-design instinct matter more than familiarity with specific tools.
The engineering culture described is design-heavy. The posting states the team spends about 80% of its time understanding problems, planning, and designing systems before writing code. The intern is expected to own features end to end, design, build, test, deploy, and to write evals and tests that prove whether a model or agent change actually improved results. The work involves making long-running jobs fast and reliable through batching, caching, retries, and orchestration so that millions of records can be enriched without failure.
The material is a single job listing carried by one feed, so there is no corroboration or independent reporting on the company's traction, funding beyond YC, or technical claims. What is available is a description of a problem space, large-scale AI agent orchestration for OSINT, and a stack centered on Python and TypeScript/React. Engineers tracking applied AI agent systems may find the posting useful as a signal of where this work is happening and what skills are being demanded, but the material does not support broader claims about the company's market position or technical achievements.
Written by elseif from the cluster below · checked for specifics the sources never containedTHE CLUSTER