Forward Deployed AI Engineer

Sobre a vaga

As a Forward Deployed AI Engineer, you work at the heart of a client's most pressing AI challenges, turning intent into an operational, measurable result. You own the problem from ambiguity through to execution - understanding the real context, building and deploying the solution, and proving that it creates value.

O que vais fazer

• Co-create solutions with business and technical stakeholders through workshops, rapid iterations, and hands-on delivery
• Locate, qualify, and secure access to the data required for each use case, working directly with Data Engineers
• Translate use cases into production-ready GenAI and agentic AI solutions, including RAG architectures, intelligent assistants, and AI-enabled workflows
• Design, test, deploy, monitor, and improve solutions in real client environments using feedback from users and domain experts
• Work with Data Engineers, Software Engineers, Foundations Architects, Governance experts, Business Value Advisors, and Service Delivery Managers to deliver sustainable outcomes
• Balance speed, quality, cost, security, and maintainability while making clear technical and delivery trade-offs
• Define success criteria from the outset, including adoption, performance, reliability, risk, cost, and measurable business value
• Ensure solutions are documented, governed, and transferable so clients can operate them with confidence
• Turn successful delivery into reusable patterns, accelerators, and building blocks that strengthen future engagements

O que é pedido

• 5-10 years of relevant experience in AI Engineering, Machine Learning, Software Engineering, Data Engineering, or technical consulting
• Hands-on experience delivering AI, GenAI, or software solutions into production
• Experience working directly with clients or in complex stakeholder environments
• Evidence of turning complex use cases into adopted, measurable solutions
• A degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field, or equivalent practical experience
• Ability to work effectively in multidisciplinary environments
• Professional proficiency in English
• Strong Python development skills, API integration experience, and modern software-engineering practices
• Hands-on experience with Large Language Models (LLMs), GenAI architectures, prompt workflows, and model/provider selection
• Experience with RAG, embeddings, vector search, AI agents, and agentic workflows
• Familiarity with frameworks such as LangChain, LlamaIndex, LangGraph, Semantic Kernel, AutoGen, or comparable tools
• Experience integrating AI into enterprise systems, APIs, and business workflows
• Experience with at least one major cloud platform: Azure, AWS, or GCP
• Working knowledge of Docker, Git, CI/CD, production deployment, monitoring, and evaluation
• Understanding of MLOps / LLMOps, security, data privacy, governance, and Responsible AI principles

Valorizado

• Experience in consulting or client-facing environments
• Experience with multimodal models, fine-tuning, model adaptation, or open-source LLMs
• Front-end or full-stack development experience, for example, Node.js or React
• Exposure to regulated industries or enterprise governance requirements

O que é oferecido

• Compensation: €65k-€78k per year
• Competitive salary aligned with your experience and the data market
• Meal allowance: €10.20/day
• Flexible benefits plan
• Private medical insurance
• 22 days of annual leave, increasing every 3 years (up to 25 days)
• Continuous learning via KLX - Keyrus Learning Experience
• A collaborative, international, and human-centred work environment

Resumo organizado por IA a partir do anúncio original. Confirma os detalhes no site da empresa.