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- Veriff
- Founding Software Engineer - Agentic Systems
Founding Software Engineer - Agentic Systems
AI Tools
Tech Stack
Agent Workflow
Building agentic AI systems for identity verification that can reason, act, and operate in high-trust environments. Tool-using agents, multi-step reasoning workflows, RAG, and multi-agent orchestration across identity, KYA, risk assessment, and automation workflows.
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.