AI Engineer

Sumsub is the first AI-powered trust infrastructure for compliance operations at scale. It connects identity and business verification, fraud prevention, transaction monitoring, and risk workflows, helping teams reduce manual work and enter new markets.

Trusted by over 4,000 clients across financial services, crypto, mobility, trading, marketplaces, education, and iGaming, including Bybit, Bitpanda, Wirex, Avis, Vodafone, Duolingo, Kaizen Gaming, and Bancaribe.

Sumsub is recognized as a Great Place To Work® in the US and rated 4.3 out of 5 on Glassdoor. Our 1,000+ people around the world back it up, too: 92% are proud to be Sumsubers, and 90% say their work is interesting and challenging.

Now we are looking for a AI Engineer (LLM focus) to build and scale the core intelligence behind Summy AI Copilot, our agentic assistant for compliance officers. This is an exciting opportunity to own a cutting-edge GenAI product, pushing LLMs beyond basic text generation to execute complex reasoning, Text-to-SQL, and autonomous tasks.

What You Will Be Doing:

• Drive Summy AI Copilot: Own the core intelligence behind our AI assistant for compliance officers, taking features from concept to production rollout.

• Agentic Orchestration: Design and build robust, multi-turn AI agents (using frameworks like LangGraph) capable of complex reasoning, context retention, and autonomous action.

• Advanced RAG & Retrieval: Develop hybrid retrieval pipelines (dense + BM25, reranking) and semantic layers over highly sensitive compliance data and business glossaries.

• Text-to-SQL & Data Access: Build and optimize secure Text-to-SQL pipelines with permission-aware access control, execution previews, and safety guardrails.

• LLM Observability & Evaluation: Set up comprehensive tracing, monitoring (e.g., Langfuse), and evaluation pipelines (LLM-as-a-judge) to track quality, latency, and token cost.

• Pragmatic Iteration: Start with elementary, solid baselines and iteratively scale complexity based on real-world production metrics and A/B tests.

About You:

• Experience: 5+ years in Software/Data/ML Engineering, with 1.5+ years explicitly focused on building and shipping production-grade GenAI/LLM systems.

• In-Depth LLM Knowledge: You understand how LLMs work under the hood. You know how to push models far beyond basic text generation (e.g., structured extraction, tool calling, cost-aware routing).

• Production ML/Data Skills: Strong background in Python, SQL, and data infrastructure (BigQuery, Kafka, Airflow). You know how to feed clean data to your models.

• LLM Stack Mastery: Hands-on experience with agentic orchestration (LangChain/LangGraph), Vector DBs (Qdrant or similar), and modern LLM APIs (Claude, Gemini, OpenAI).

• Engineering Excellence: You write production-ready code for microservices (FastAPI), with experience in cloud deployments (GCP/AWS, Docker, Kubernetes).

Nice to have

• Experience building Text-to-SQL agents or AI tools for self-service data analytics.

• Background in classical NLP, traditional MLOps, or large-scale data engineering.

• Familiarity with compliance, anti-fraud, KYC/AML, or fintech domains.
  

What We Offer:

• Remote-first, trust-based culture. Work from the place that works best for you. No mandatory office days, no attendance trackers. In some locations, we provide offices or coworking spaces, but the choice is yours.

• True flexibility. We do not fix you to a 9-to-5 schedule. You can adjust your working hours when needed, as long as your day stays productive and in sync with the team.

• Extra time off. Your birthday is a holiday here. Add to that 10 personal days each year, seven sick days without paperwork, and extra time to enjoy Christmas and New Year. Time to rest is part of the deal.

• Work that matters. Our mission is to build a digital world that is secure, accessible and inclusive for everyone. From fighting fraud to making online services easier and safer to use, your work will have a real impact on how people experience trust online.

• Compensation. We offer fair and transparent pay, benchmarked to the market.

• Truly global. We work across continents and time zones, with teammates and customers from all over the world. You will run campaigns that cross borders, cultures, and languages, and see your ideas land worldwide.

• Growth built in. Clear goals, open feedback and personal development plans. We support your progress with learning opportunities and by covering role-specific events, from design conferences to marketing forums.

• Celebrating your big moments. We are proud to support you through life’s biggest journeys with dedicated financial bonuses for both marriage and welcoming a new baby to your family.

• Team offsites. Sometimes just Slack is not enough. That is why we meet in person a few times a year. Trips are fully covered, so you can meet, collaborate, and recharge together.

• Getting you set up. We make sure you have access to the tools and hardware you need to do your work well.

• Friendly by design. Our logo is a dog for a reason. We keep things human, open and kind. We welcome individuality, quirks and different perspectives, because that is what makes our work smarter and more fun.

The hiring stages: TA screening -> Hiring Manager Interview -> Final Interview.

Sounds like a great opportunity for your career development? Then go ahead and apply!

We are a global community of innovators, creators, and thinkers, and we believe that diversity fuels our innovation. Sumsub is proud to be an equal opportunity employer, committed to building a diverse and inclusive workforce. We welcome applications from people of all backgrounds, cultures, genders, experiences, abilities and perspectives. Join us in shaping the future inclusively.

We believe in fair and transparent compensation. Salaries vary depending on work location and applicable local market conditions.

We believe in fair and transparent compensation. Salaries vary depending on work location and applicable local market conditions.
This role is open to candidates in multiple countries, and compensation differs based on the candidate’s confirmed work location. For this reason, a single universal salary range is not included in this job posting.
The applicable work location will be confirmed early in the recruitment process, and the relevant compensation information for that location will be shared in writing, in line with local requirements.