Founding Software Engineer - Agentic Systems

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Veriff
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AI Infrastructure

Agentic Frameworks

Tech Stack

About the Role

Veriff is exploring the next frontier of identity verification: agentic AI systems that can reason, act, and operate safely in high-trust environments. They are forming a small, high-leverage team to explore and productionize agentic capabilities across identity, KYA, risk assessment, and automation workflows.

You'll help us protect honest people online by

  • Design and build agentic systems that can use tools, reason across multi-step workflows, and operate under strict compliance and safety constraints
  • Prototype and productionize LLM-powered workflows
  • Build internal evaluation frameworks for agent reliability
  • Define system architecture for scalable, secure AI services
  • Work closely with product, risk, and compliance teams
  • Turn ambiguous ideas into working systems

Strong Systems Engineer Requirements

  • 6+ years building backend systems in production
  • Strong Python experience (FastAPI or similar)
  • Experience with distributed systems and async workflows
  • Deep understanding of system design and reliability

Agentic / LLM Experience

  • Tool-using agents
  • Multi-step reasoning workflows
  • Retrieval Augmented systems (RAG)
  • Multi-agent or orchestration systems

Experience with one or more

  • LangChain / LangGraph
  • OpenAI Assistants or Responses API
  • AutoGen
  • CrewAI
  • Semantic Kernel

You have shipped LLM-powered systems beyond experimentation.

Tech Stack

  • Backend: Node.js (TypeScript), Python, Golang
  • Frontend: React (TypeScript)
  • Mobile: Kotlin (Android), Swift (iOS), Dart (Flutter), TypeScript (React Native)
  • Infrastructure: AWS, Kubernetes, Terraform
  • Data & ML: PostgreSQL, RabbitMQ, Python-based ML models

Nice to Have

  • Experience in fraud, risk, compliance, or identity systems
  • Experience building internal AI evaluation pipelines
  • Familiarity with vector databases (pgvector, Pinecone, etc)
  • Experience operating in regulated environments

What Success Looks Like

  • Reliable agentic workflows running in production
  • Clear evaluation metrics for AI quality and safety
  • Strong architectural foundations for scaling AI capabilities
  • High quality technical documentation and system clarity

Benefits

  • Flexibility to work from home
  • Stock options that ensure your share in our success
  • Extra recharge days on top of annual vacation
  • Comprehensive relocation support to Estonia or Spain
  • Extensive medical, dental, and vision insurance
  • Learning and Development & Health and Sports budget
  • Four weeks of fully paid sabbatical leave after 5th work anniversary

Locations: Tallinn, Estonia; Spain (Remote); Sao Paulo, Brazil.

Backed by Accel, Alkeon, IVP, Tiger Capital, and Y Combinator.

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