[Hiring] AI Engineer @Sumsub

Role Description

We are looking for an 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 and autonomous tasks.

• Drive Summy AI Copilot: Own the core intelligence behind our AI assistant for compliance officers, taking features from concept to production rollout and operation.
• Agentic Orchestration: Design and build robust, multi-turn AI agents (using frameworks like LangGraph) capable of complex reasoning, context retention, and autonomous action.
• 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.
• Agentic Experience: Evolve our public MCP server and Agent Skills so that external AI agents (Claude, ChatGPT, etc.) can work with Sumsub reliably and securely.
• Pragmatic Iteration: Start with elementary, solid baselines and iteratively scale complexity based on real-world production metrics and A/B tests.

Qualifications

• 5+ years in Software/Data/ML Engineering, with 1+ years explicitly focused on building and shipping production-grade GenAI/LLM systems.
• In-depth LLM knowledge: Understanding of how LLMs work under the hood and ability to push models beyond basic text generation (e.g., structured extraction, tool calling, cost-aware routing).
• LLM Stack Mastery: Hands-on experience with agentic orchestration (LangChain/LangGraph) and modern LLM APIs (Claude, Gemini, OpenAI).
• Engineering Excellence: Ability to write production-ready code for microservices (Java/Dropwizard), with experience in cloud deployments (GCP/AWS, Docker, Kubernetes).
• Ownership: Ability to own the system from early talks with customers to operating it in production.

Requirements

• 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 (nice to have).

Benefits

• Remote-first, trust-based culture.
• True flexibility in working hours.
• Extra time off, including your birthday as a holiday and additional personal and sick days.
• Work that matters, contributing to a secure and inclusive digital world.
• Fair and transparent compensation, benchmarked to the market.
• Global work environment with diverse teams and customers.
• Growth opportunities with clear goals and personal development plans.
• Celebration of significant life events with financial bonuses.
• Team offsites for collaboration and connection.
• Access to necessary tools and hardware for effective work.
• A friendly and inclusive workplace culture.