Founding Software Engineer - Agentic Systems

Veriff
Tallinn, Spain (Remote), São PauloPosted 25 March 2026

Job Description

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 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 Why Veriff? We are the preferred identity verification platform partner for the world’s most innovative growth-driven organizations helping conveniently verify and safeguard users anywhere in the world. We support the broadest number of identity documents from nearly every country and territory in the world - and this is continually increasing! With a diverse team in the United States, United Kingdom, Spain, and Estonia, as well as robust backing and funding from investors including Accel, Alkeon, IVP, Tiger Capital, and Y Combinator, we’re dedicated to helping businesses and individuals build a safer and more secure world. We strive to be the benchmark for trust online, and we take pride in being a positive force. When you join Team Veriff, we offer you the opportunity to have a real impact and advance your career, while looking after you along the way with a range of benefits designed with you in mind. Some of our favorites include... Flexibility to work from home Stock options that ensure your share in our success Extra recharge days on top of your annual vacation Comprehensive relocation support to Estonia or Spain Extensive medical, dental, and vision insurance to ensure you’re feeling great physically and mentally Learning and Development Health and Sports budget that you are free to tailor to your own needs Four weeks of fully paid sabbatical leave after reaching your 5th work anniversary We are an Equal Opportunities employer committed to a diverse and representative team. Different opinions, perspectives and personalities push us forward. We want to hear from people who are passionate about their work and align with our values. Regardless of race, reli ... (truncated, view full listing at source)
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