Python AI engineer

Data Oriented Defence Operations (DODO OÜ) is a cutting edge Cybersecurity boutique based in Tallinn, Estonia. We operate at the forefront of Deep Tech, and yes, it’s time to say it openly: we proudly emerged from the NATO ecosystem. We build advanced Defence and Security solutions and push the boundaries of autonomous offensive security. We are looking for a Python AI Engineer (Junior) to join our development team and work on ARES, our autonomous red teaming platform powered by Agentic AI.

• Design and optimize agent architectures using LangChain and LangGraph, supporting our CTO and the engineering team.
• Build retrieval augmented generation pipelines that let agents query knowledge bases, vulnerability databases, and prior engagement data to inform autonomous decisions.
• Instrument agent pipelines with Langfuse for tracing, evaluation, and debugging of autonomous agent behavior.
• Use Pydantic to define robust schemas for agent inputs and outputs, tool calls, and communication between agents.
• Build and maintain memory layers (vector stores, relational and database backed memory) so agents keep context across sessions and tasks.
• Build automated scenarios and vulnerable targets that our offensive AI attacks during QA and UAT phases.
• Act as the technical bridge between the Agentic AI development team and the operational Cybersecurity team for test integration.

• Hands on experience building agentic AI systems: projects you’ve actually built and can talk us through, including the architecture you chose, what worked, and what you’d do differently today
• Practical experience with LangChain and LangGraph: structuring graphs, managing state across nodes, handling tool calling, and debugging agents that loop or stall
• Excellent Python
• Solid understanding of RAG: embeddings, chunking strategies, vector similarity search, and retrieval grounded generation, ideally with experience tuning a pipeline yourself
• Pydantic (or similar) for data validation and schema design
• Comfort with databases and state persistence patterns, both vector stores and relational or document stores
• Master’s degree, enrolled or completed, in Computer Science, Cybersecurity, AI, or a related field
• Ability to work autonomously on goal oriented tasks in a fully remote setup, managing your own 22h per week
• Genuine interest in offensive security, cloud architectures, and applied AI
• Because of the nature of our work in Defence and Security, we can currently only consider candidates who hold European (EU/EEA) citizenship and live in Europe.
• Будет плюсом: Python backend experience: building and consuming APIs (FastAPI, Flask, or similar), async programming, and services that hold up in production; Langfuse or similar LLM observability and evaluation tools; Exposure to offensive security tooling, CTFs, or pentesting fundamentals; Experience with multi agent orchestration patterns beyond LangGraph; Familiarity with Docker and cloud deployment on any major provider

• Paid 6 month engagement: €3,800 to €4,200 in total depending on experience, paid in two tranches. The first 3 months are a trial period.
• 100% fully remote, flexible part time (within Europe): about 22h per week, organized around your own schedule
• Expert Mentorship: Daily collaboration with top tier industry experts in AI and Cyber Operations
• Deep Tech Impact: Direct involvement in a Deep Tech project in Defence and Security, with real impact on our technology roadmap
• Career Growth: A path to a full time role with a stock option plan if the funding round closes, and growth into key architectural roles as we scale