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A fast-moving AI safety organization is seeking a Senior Full Stack Engineer to build and scale their real-time AI monitoring platform. This remote role requires strong expertise in Python and AWS, an ability to work autonomously, and a passion for fast execution. Responsibilities include designing backend services, optimizing APIs, and integrating machine learning systems. Candidates from diverse backgrounds are encouraged to apply, and a competitive salary package is offered.
Fulltime
Role Type : Full-time
Location : Remote (anywhere). The role is fully remote with no geographic limitations, though the client has stated a preference for candidates who can collaborate effectively across European time zones.
The client is a fast-moving AI safety organization operating as an independent subsidiary since late 2025. Their mission is to ensure real-time monitoring and risk detection for advanced AI systems, using black-box techniques with extremely low latency and high accuracy. They are seed-funded and preparing for a Series A raise in 2026.
The engineering team is simultaneously advancing their AI monitoring capabilities, scaling infrastructure, and working toward major cloud and compliance certifications (including SOC 2, ISO 27001, ISO 42001).
The client seeks a Senior Full Stack Engineer who excels in high-velocity environments, ships production-quality code quickly, and is deeply comfortable working autonomously. This is a role for someone who learns fast, iterates rapidly, and prioritizes working software over heavy planning or documentation.
You will collaborate closely with AI researchers and backend engineers to build and scale the client’s real-time AI monitoring platform.
The client is not seeking someone who over‑documents, over‑plans, or delays execution with unnecessary process. This team ships fast, experiments quickly, and values engineers who take ownership and deliver.
A competitive package including base salary, performance bonus, and stock options. Exact details will be tailored to the candidate’s experience and location.
Interested candidates should submit a CV and a short video on our website (1-2 minutes) describing relevant experience and their motivation for working in AI safety.
Review process: 2 weeks
Tribes and the client are committed to building diverse, inclusive, and equitable teams. Candidates from all backgrounds are strongly encouraged to apply. Every application is evaluated solely on qualifications, experience, and alignment with the role.