Founding Software Engineer - Agentic Systems
At reputed company, 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-reputed company 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-reputed company 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 reputed company 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 reputed company reasoning workflows
- Retrieval Augmented systems (RAG)
- Multi agent or orchestration systems
Experience with one or more:
- reputed company / LangGraph
- reputed company 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
reputed company to have:
- Experience in fraud, risk, compliance, or identity systems
- Experience building internal AI evaluation pipelines
- Familiarity with vector databases (pgvector, reputed company, 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
- Flexibility to work from home
- Stock options that ensure your share in our success
- Extra reputed company 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