Founding Software Engineer - Agentic Systems
AI Infrastructure
Agentic Frameworks
Tech Stack
About the Role
At Veriff, we are exploring the next frontier of identity verification: agentic AI systems that can reason, act, and operate safely in high-trust environments. We are forming a small, high-leverage team to explore and productionize agentic capabilities across identity, KYA, risk assessment, and automation workflows. We are looking for a Founding Engineer to help build this from the ground up.
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
You are the right future Veriffian for the job if you have
Strong Systems Engineer
- 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
Hands on experience building:
- 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.
Elements of Our 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
Locations: Tallinn, Spain (Remote), São Paulo. Benefits include flexibility to work from home, stock options, extra recharge days, comprehensive relocation support to Estonia or Spain, medical/dental/vision insurance, learning budget, four weeks of paid sabbatical after 5 years.
