Sax AI is building AI agents for compliance in investment banks in London. Sax AI delivers superhuman KYC (Know Your Customer) with AI agents executing and human KYC officers overseeing. We help banks outsource their KYC, 10x faster and 10x cheaper.
What You'll Do
Build and optimize AI agents for compliance workflows using Python and LLMs
Integrate with external data providers and with banks' internal systems
Architect async task pipelines for complex, long-running compliance checks
Develop APIs for the front-end application
Contribute to architectural decisions that enhance system performance and reliability
Write clean, maintainable, strictly-typed code that meets enterprise security and compliance standards
Python with mypy, Django, Celery
PostgreSQL with pgvector, Redis
AWS, Docker
LLMs: OpenAI, Gemini
Qualifications
5+ years building backend systems in Python
Strong software design and architecture, and domain modeling
Experience designing APIs and with async/background job processing patterns
Strong problem-solving abilities and systematic debugging approach
Care about code quality, testing, and maintainability
Bachelor's degree in Computer Science, Engineering or related field
Nice to Have
Experience building enterprise SaaS applications
Financial services, KYC/AML, or regulatory compliance domain knowledge
Experience with agentic AI systems, document processing/OCR pipelines
What Makes This Role Interesting
Build AI agents that automate days of analyst work into minutes, in a high-stakes financial domain
Work directly with investment banks on real compliance workflows
Shape the architecture of a complex AI system in a fast-growing startup with enterprise clients
A competitive salary with generous Stock Options.
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