Staff Engineer - AI & OSINT Data Systems

Sixtyfour; San Francisco (CA); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Ownership on production features

Rigorous code reviews

Autonomy to scope work

Budget for frontier models and dev工具

Competitive salary & meaningful equity

Health, dental, and vision insurance

Office lunch and team offsites

Job summary

Sixtyfour in San Francisco is seeking engineers to design and ship OSINT agents and enrichment tools that power our profile research platform. You’ll add data sources, build scalable pipelines, and measure improvements through evaluations.

Join a team that values practical problem solving, concurrency, and data-heavy interfaces built with Python for the backend and TypeScript/React for the product.

Qualifications

• Strong fundamentals in systems design, concurrency, networking, databases, and APIs.
• Ability to break vague problems into components and defend chosen designs.
• Focus on data volume, latency, concurrency, and cost when planning solutions.
• Demonstrated shipped work (product, OSS, research, hackathon).
• Proficiency in Python or TypeScript; backend AI work is Python, product is TypeScript/React.
• Genuine interest in LLMs and agent-based systems.
• Willingness to work full-time, in person, in San Francisco.

Responsibilities

• Work on OSINT agents and enrichment tools that power the product.
• Develop new data sources and tooling for the enrichment engine.
• Build evaluations to measure impact of prompts, models, or agent changes.
• Implement batching, caching, retries, and orchestration for large-scale processing.
• Deliver features end-to-end from design to production.

Skills

Strong fundamentals

Design judgment

Scale thinking

Ship real product

Python or TypeScript

LLMs and agents

In-person SF work

Tools

Python

TypeScript

React

PostgreSQL

Redis

Job description

Sixtyfour in San Francisco is seeking engineers to design and ship OSINT agents and enrichment tools that power our profile research platform. You’ll add data sources, build scalable pipelines, and measure improvements through evaluations.

Join a team that values practical problem solving, concurrency, and data-heavy interfaces built with Python for the backend and TypeScript/React for the product.