ai engineer for compliance operations

Sumsub provides AI-powered trust infrastructure for compliance operations, connecting identity and business verification, fraud prevention, transaction monitoring, and risk workflows. Its platform helps teams reduce manual work and enter new markets.

• Own the core intelligence behind Summy AI Copilot, taking features from concept through production rollout and operation
• Design and build robust, multi-turn AI agents capable of complex reasoning, context retention, and autonomous action
• Set up tracing, monitoring, and evaluation pipelines to track quality, latency, and token cost
• Evolve the public MCP server and Agent Skills so external AI agents can work with Sumsub reliably and securely
• Start with solid baselines and iteratively scale complexity based on production metrics and A/B tests

• 5+ Years of experience in Software, Data, or ML Engineering, including 1+ years building and shipping production-grade GenAI/LLM systems
• In-depth understanding of how LLMs work, including structured extraction, tool calling, and cost-aware routing
• Hands-on experience with agentic orchestration and modern LLM APIs
• Experience writing production-ready microservices in Java/Dropwizard and deploying to GCP/AWS using Docker and Kubernetes
• Experience owning systems from early customer discussions through production operations
• Будет плюсом: classical NLP, traditional MLOps, large-scale data engineering, compliance, anti-fraud, KYC/AML or fintech, production RAG systems

• Flexible working hours; no fixed 9-to-5 schedule
• Birthday holiday, 10 personal days per year, seven sick days without paperwork, and extra time off for Christmas and New Year
• Market-benchmarked compensation; salary varies by work location and local market conditions. Location-specific compensation information is shared in writing early in the recruitment process
• Financial bonuses for marriage and welcoming a new baby
• Team offsite trips are fully covered
• Role-specific events are covered, with learning opportunities and personal development plans
• Work tools and hardware are provided
• Hiring stages: TA screening, Hiring Manager Interview, Technical Interview, and Final Interview