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; 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 regula.