Full Stack Engineer; Python​/React TR

The Mission

Trust Lab is building the trust and safety layer that enables AI agents to be deployed responsibly, as well as other scalable AI solutions, at global scale. We develop and deploy advanced autonomous AI systems that monitor, evaluate and observe agents during development and in production. Founded by senior leaders from Google, You Tube, Tik Tok, and Reddit, Trust Lab’s solutions are industry leading and used by global technology brands to support their daily operations.

You are part of a team that is responsible for some of the most critical components of our AI centric tech stack. You define and deploy key parts of our global platform that evaluates cutting edge customer AI systems  will contribute to technical decisions and help push the boundaries of what’s possible with state of the art AI tech.

We’re looking for a Backend Engineer to design and build high-performance backend systems that support AI-driven workflows and large-scale data processing. You’ll work on distributed services, APIs, and core infrastructure powering mission-critical products. This role requires strong backend fundamentals, production-grade Python experience, and the ability to own features end-to-end.

• Design, build, and maintain scalable backend services in Python
• Architect APIs and microservices with clean, maintainable abstractions
• Work with large datasets and asynchronous processing pipelines
• Optimize performance, reliability, and observability
• Contribute to system design discussions
• Own features end-to-end and collaborate across teams
• Write production-quality, testable, secure code
• Participate in code reviews and uphold a high engineering bar

• 3–7 years of backend engineering experience
• Strong production experience in Python (FastAPI, Django, Flask, or similar)
• Experience designing RESTful APIs and service-oriented architectures
• Solid understanding of databases (Postgre
  
  SQL, MySQL) and query optimization
• Experience with async processing, queues (SQS, Kafka), or event-driven systems
• Good understanding of system design, scalability, and performance

• Experience working with coding agents (Cursor, Claude Code, Codex, or similar) is a strong plus
• Experience deploying and operating services on AWS (or another major cloud provider) is a strong plus
• Experience building or integrating AI agent systems (LLM workflows, orchestration frameworks, or evaluation pipelines) is a plus

Small teams, high ownership, minimal process overhead
Async-first collaboration across Ankara and Silicon Valley
Engineers are involved in product and technical decisions, not just execution

Work directly with AI Industry leaders who scaled trust & safety systems at the world’s largest platforms.

Annual salary range of $50k–$70k USD, plus meaningful equity in a venture-backed startup.

Hybrid flexibility with in-person collaboration at our Maidan, Ankara office.

incl. paid supplemental private health insurance, education stipend, meals and more.

Opportunity to join the full team at our US headquarters for strategy alignment, deep collaboration, and innovation.