
501 - 1000 employees
Founded 2015
💼 Consulting
⚖️ Legal
📦 Logistics
💰 $30M Series B - Sumsub on 2022-12
Consulting • Legal • Logistics
Sumsub is a compliance-focused technology company that provides SaaS solutions for transaction monitoring, product compliance, and related operational and pre-sales support to businesses. The company appears to operate an online platform with roles across operations, legal/compliance, and technical support, and targets other businesses with its services and tools.
🕒 October 22
Where this job comes from
Posted on Sumsub's careers page, not through a job board
First seen by Remote Rocketship October 22
Still open on Sumsub's site. Checked 2 hours ago.

501 - 1000 employees
Founded 2015
💼 Consulting
⚖️ Legal
📦 Logistics
💰 $30M Series B - Sumsub on 2022-12
Consulting • Legal • Logistics
Sumsub is a compliance-focused technology company that provides SaaS solutions for transaction monitoring, product compliance, and related operational and pre-sales support to businesses. The company appears to operate an online platform with roles across operations, legal/compliance, and technical support, and targets other businesses with its services and tools.
• Own the core intelligence behind Summy AI Copilot, an agentic assistant for compliance officers • Take AI 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 Sumsub’s public MCP server and Agent Skills for reliable and secure integration with external AI agents • Begin with solid elementary baselines and iteratively scale complexity based on production metrics and A/B tests • Work with customers from early discussions through operating the system in production
• 5+ years in Software, Data, or ML Engineering • 1+ year explicitly focused on building and shipping production-grade GenAI/LLM systems • In-depth knowledge of how LLMs work under the hood • Experience with structured extraction, tool calling, and cost-aware routing • Hands-on experience with agentic orchestration using LangChain or LangGraph • Experience with modern LLM APIs, including Claude, Gemini, and OpenAI • Ability to write production-ready microservices code using Java/Dropwizard • Experience with cloud deployments using GCP or AWS, Docker, and Kubernetes • Ability to own systems from early customer discussions through production operation • Nice to have: background in classical NLP, traditional MLOps, or large-scale data engineering • Nice to have: familiarity with compliance, anti-fraud, KYC/AML, or fintech domains • Nice to have: experience shipping production RAG systems
• Remote-first, trust-based culture • No mandatory office days and no attendance trackers • Offices or coworking spaces provided in some locations, with employee choice • Flexible working hours; no fixed 9-to-5 schedule • Birthday holiday • 10 personal days each year • Seven sick days without paperwork • Extra time off for Christmas and New Year • Personal development plans and learning opportunities • Role-specific events covered, including design conferences and marketing forums • Financial bonuses for marriage and welcoming a new baby • Fully covered team offsites several times a year • Tools and hardware needed for the role • Equal opportunity and inclusive workplace
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