Forward Deployed Engineer (Applied AI / LLM Agents)

Accountabilities: You will take ownership of customer-facing technical projects, combining business understanding, hands-on engineering, and continuous collaboration with internal product teams to deliver reliable AI-powered solutions. Lead technical discovery sessions with customers, mapping their workflows, data, systems, and stakeholders to translate business needs into clear technical requirements. Design, develop, and deploy LLM-based agents and workflows, taking solutions from early prototypes to production-ready implementations. Integrate AI solutions with existing customer tools, databases, and business software through REST APIs, webhooks, and third-party platforms. Develop reusable integration approaches and technical components that can be standardised across different customer environments. Establish evaluation frameworks and success metrics to measure solution performance, reliability, and business impact. Monitor and optimise deployed solutions, focusing on quality, operational costs, and latency. Communicate project progress, technical findings, results, and recommendations to both technical and business stakeholders. Share customer insights and implementation feedback with the product team to help shape the technical roadmap. Travel occasionally to the United States when required. Requirements : The ideal candidate combines strong software engineering fundamentals with practical experience deploying LLM-powered applications in production. You should be comfortable working directly with customers, navigating ambiguity, and taking ownership of projects from initial discovery through implementation. 5+ years of experience as a software engineer, full-stack engineer, or applied AI engineer, ideally in a customer-facing, founding, or product-oriented role. Demonstrated experience building and deploying production-grade LLM systems, including Retrieval-Augmented Generation (RAG), AI agents, prompt engineering, and evaluation frameworks. Strong programming skills in Python and/or TypeScript, alongside solid SQL and database knowledge. Hands-on experience integrating systems through REST APIs, webhooks, and third-party platforms. Strong ownership mindset, with the ability to work independently, manage ambiguity, prioritise effectively, and drive projects through to completion. Excellent communication skills, with the ability to explain complex technical concepts clearly to different audiences. English proficiency at C1 level or above. Additional experience that would be an advantage: Previous experience as a co-founder, founding engineer, or technical lead, with responsibility for both product and technology decisions. A background in machine learning or data engineering combined with practical product development experience. Hands-on familiarity with AI agent frameworks such as LangGraph, Model Context Protocol (MCP), or similar technologies. Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP). Experience in product-led technology companies, ranging from established technology organisations to startups. Previous experience implementing enterprise platforms such as ERP or CRM systems within customer environments. Benefits : Competitive annual gross salary: €35,000–€55,000 for candidates with 5–6 years of experience, and €50,000–€70,000 for candidates with more than 6 years of experience. Fully remote working: Work remotely with the flexibility and autonomy to organise your own schedule. High-impact responsibilities: Contribute directly to the development and deployment of production-grade AI products. Ownership and autonomy: Take responsibility for technical projects and influence how AI solutions are implemented across customer environments. Collaborative environment: Join a small, experienced team working at the forefront of applied AI and LLM technologies. Direct leadership exposure: Work closely with the leadership team and contribute to important technical and product decisions.