AI Engineer

Madrid, Warsaw | Working from home up to 40% | Reference 7655 Join us in shaping the future of financial information. This is a high-leverage, player-coach role at the heart of how we scale AI delivery. You will set the technical direction for production-grade AI solutions. If you are passionate about agentic AI, enjoy solving hard engineering problems, and want to see your work used daily by real users in a critical product, this is a unique opportunity to have a tangible impact from day one. What You Will Do - Architect Multi-Agent Systems: Design, build, and orchestrate complex agentic workflows using LangGraph and LangChain to handle sophisticated financial queries and agents. - Productize AI & GenAI Solutions: Build the backends, agent/RAG infrastructure, MCP servers, and LLM-serving layers that turn models, prompts, and pipelines into reliable, observable production products. - Champion Quality & Coach Peers: Apply clean architecture and proven design patterns, enforce standards through tests and reviews, and coach junior engineers and rotating contributors. - Implement Advanced RAG: Build and optimize Retrieval-Augmented Generation systems to ground model responses in proprietary data. - Establish Evaluation Pipelines: Create rigorous testing frameworks and metrics to evaluate agent performance, reliability, and accuracy in a production environment. What You Bring - Core AI Engineering Stack: Deep expertise in Python and the modern AI stack, including LangChain, LangGraph, OpenAI SDK, and Hugging Face Transformers. Strong ability to debug and optimize multi-agent workflows, with a focus on asynchronous execution, state management, and concurrency. - API & Data Proficiency: Experience designing and integrating with complex REST/GraphQL endpoints and handling structured data formats (JSON/XML) for tool calling. - Cloud & DevOps Mindset: Hands-on experience with containerization (Docker) and cloud platforms (AWS/GCP/Azure) for deploying production-grade AI applications. - Quality & Collaboration: Strong testing discipline with pytest, a habit of writing maintainable, well-typed code, and the communication skills to mentor peers and partner closely with data scientists and AI engineers. - Experience & Education: 5+ years in software Engineering including significant experience as a Gen AI Application Developer. A relevant degree in Computer Science or related field is required. If you have any questions, check out our FAQ page or call Yuliya Stoyko at . Diversity is important to us. Therefore, we are looking to receiving applications regardless of any personal background. What We Offer Flexible Work Models We trust our employees and offer a work environment that is well-balanced, productive and fosters success. Personal Development You will benefit from a culture of continuous learning and feedback. Your personal growth is supported through an extensive learning offering. Agile Working Methods Whether through scrum or design thinking, we solve exciting tasks together in teams. J-18808-Ljbffr