About Sumsub
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.
Responsibilities
•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
Requirements
•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
Nice to have
•Classical NLP, traditional MLOps, large-scale data engineering, compliance, anti-fraud, KYC/AML or fintech, production RAG systems
Conditions
•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
