AI Engineer

🕒 August 5

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Sumsub

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Own the core intelligence behind Summy AI Copilot, taking features from concept to production rollout • Design and build robust multi-turn AI agents capable of complex reasoning, context retention, and autonomous action • Develop hybrid retrieval pipelines using dense retrieval, BM25, reranking, and semantic layers over sensitive compliance data and business glossaries • Build and optimize secure Text-to-SQL pipelines with permission-aware access control, execution previews, and safety guardrails • Set up tracing, monitoring, and evaluation pipelines to track quality, latency, and token cost • Start with solid baselines and iteratively scale complexity using production metrics and A/B tests

🎯 Requirements

• 5+ years of experience in Software, Data, or ML Engineering • 1.5+ years explicitly focused on building and shipping production-grade GenAI/LLM systems • In-depth understanding of how LLMs work under the hood • Experience with structured extraction, tool calling, and cost-aware routing • Strong Python and SQL skills • Experience with data infrastructure including BigQuery, Kafka, and Airflow • Hands-on experience with agentic orchestration using LangChain or LangGraph • Experience with vector databases such as Qdrant or similar • Experience with modern LLM APIs including Claude, Gemini, or OpenAI • Production-ready microservices development with FastAPI • Experience with cloud deployments using GCP or AWS, Docker, and Kubernetes • Nice to have: Text-to-SQL agents or self-service data analytics tools • Nice to have: classical NLP, traditional MLOps, or large-scale data engineering • Nice to have: compliance, anti-fraud, KYC/AML, or fintech experience

🏖️ Benefits

• Remote-first, trust-based culture • No mandatory office days and no attendance trackers • Offices or coworking spaces available in some locations by choice • Flexible working hours with no fixed 9-to-5 schedule • Birthday holiday • 10 personal days each year • Seven sick days without paperwork • Extra time off around Christmas and New Year • Personal development plans and learning opportunities • Coverage of role-specific events • Financial bonuses for marriage and welcoming a new baby • Fully covered team offsites a few times a year • Tools and hardware needed to do the work • Equal opportunity and inclusive workplace