Backend Engineer

• 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

Tech Stack

• Python with mypy, Django, Celery
• PostgreSQL with pgvector, Redis
• AWS, Docker
• LLMs: Claude, Gemini

• 3+ 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
• DevOps experience: Terraform, AWS, infrastructure-as-code, CI/CD pipelines
• Financial services, KYC/AML, or regulatory compliance domain knowledge
• Experience with agentic AI systems, document processing/OCR pipelines

• 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

full_time

Organization Sax AI