AI Engineer (LLM focus)

Sumsub

WorldwideFully remoteFull TimeSeniorInformation Technology
Posted 4h ago

Why we think you can apply

Hiring model
Open worldwide · the employer states no country restriction
Work from
Anywhere, the UAE included

Posted 4 hours ago · apply link checked 3 hours ago

About the role

Responsibilities

  • Own the core intelligence behind Summy AI Copilot from concept to production
  • Design and build multi-turn AI agents using frameworks like LangGraph
  • Set up LLM tracing, monitoring and evaluation pipelines
  • Evolve the public MCP server and Agent Skills for external AI agents
  • Iterate on baselines and scale complexity using production metrics and A/B tests

Requirements

  • 5+ years in Software, Data or ML Engineering
  • 1+ years building production GenAI/LLM systems
  • Hands-on with LangChain/LangGraph and LLM APIs (Claude, Gemini, OpenAI)
  • Production code for microservices (Java/Dropwizard)
  • Cloud deployments on GCP or AWS with Docker and Kubernetes

Preferred Qualifications

  • Classical NLP, traditional MLOps or large-scale data engineering background
  • Compliance, anti-fraud, KYC/AML or fintech domain familiarity
  • Production RAG system experience

Benefits

  • Remote-first, trust-based culture with flexible hours
  • Extra time off including birthday holiday and 10 personal days
  • Fair, market-benchmarked compensation
  • Team offsites and covered hardware and tools

About the Company

Sumsub is an AI-powered trust infrastructure for compliance operations, trusted by over 4,000 clients across financial services, crypto and other sectors.

What we look for

  • 5+ years in Software, Data or ML Engineering
  • 1+ years building production GenAI/LLM systems
  • Hands-on with LangChain/LangGraph and LLM APIs (Claude, Gemini, OpenAI)
  • Production code for microservices (Java/Dropwizard)
  • Cloud deployments on GCP or AWS with Docker and Kubernetes
  • Classical NLP, traditional MLOps or large-scale data engineering background
  • Compliance, anti-fraud, KYC/AML or fintech domain familiarity
  • Production RAG system experience
PythonJavaAWSDockerKubernetesGCPLLMMLOpsRAGLangChain
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