AI Engineer

Responsibilities

• Drive Summy AI Copilot by taking features from concept to production rollout
• Design and build robust, multi-turn AI agents using frameworks like LangGraph
• Develop hybrid retrieval pipelines including dense, BM25, and reranking
• Build and optimize secure Text-to-SQL pipelines with permission-aware access control
• Set up LLM observability and evaluation pipelines using tools like Langfuse
• Iteratively scale complexity based on production metrics and A/B tests

Requirements

• 5+ years in Software, Data, or ML Engineering
• 1.5+ years focused on building production-grade GenAI/LLM systems
• Deep understanding of LLM mechanics, structured extraction, and tool calling
• Proficiency in Python, SQL, and data infrastructure (BigQuery, Kafka, Airflow)
• Hands-on experience with LangChain, LangGraph, and Vector DBs (Qdrant)
• Experience with modern LLM APIs (Claude, Gemini, OpenAI)
• Ability to write production-ready code for microservices using FastAPI
• Experience with cloud deployments (GCP/AWS, Docker, Kubernetes)

Preferred Qualifications

• Experience building Text-to-SQL agents or self-service data analytics tools
• Background in classical NLP or traditional MLOps
• Familiarity with compliance, anti-fraud, KYC/AML, or fintech domains

About the Company

Sumsub is an AI-powered trust infrastructure for compliance operations, connecting identity verification, fraud prevention, and risk workflows for over 4,000 clients worldwide.