Forward Deployed AI Engineer

What you do

Key Responsibilities

• AI Implementation Deployment (ca. 75%)

  • You design, build, and deploy production-ready AI solutions that deliver measurable business impact from intelligent automation and AI agents to predictive analytics and generative AI applications
  • You move fast, taking ideas from prototype to production, using modern frameworks (e.g. LangChain, AutoGen) and foundation models (OpenAI, Anthropic, open-source LLMs)
  • You integrate AI into existing business systems via APIs and data pipelines, ensure safe and reliable operation through governance and monitoring, and optimise performance and costs for commercial viability
  • You work embedded within client organisations to understand real processes, drive adoption, and enable AI-led change

• Business Process Transformation (15%)

  • Map current business processes understanding how work gets done today, identifying bottlenecks, and spotting automation opportunities
  • Design AI-enabled future states working with your Deployment Strategist and client stakeholders to reimagine processes with AI capabilities
  • Assess AI feasibility evaluating which problems are well-suited for AI, which approaches to use, and what ROI to expect
  • Define success metrics working with your strategist partner to establish measurable outcomes that demonstrate business value
  • Collaborate on use case prioritisation helping identify which AI opportunities deliver the highest impact relative to implementation complexity

• Technical Pre-Sales Demonstration (10%)

  • Build rapid AI prototypes creating working demonstrations of AI capabilities in prospect-specific contexts within days
  • Demonstrate AI possibilities showing prospective clients what AI can do for their specific business challenges with concrete examples
  • Provide technical credibility establishing trust with client technical and business leaders through demonstrated AI expertise
  • Assess client AI readiness evaluating data quality, technical infrastructure, and organisational capability to support AI initiatives

What you bring along

• Strong AI/ML implementation experience (2+ years) building and deploying production AI systems, with hands-on expertise in LLMs and generative AI (GPT-4, Claude, Llama), including prompt engineering, RAG, fine-tuning, and AI agent development (LangChain, AutoGen, CrewAI or similar)
• Strong Python skills, solid data engineering capabilities (pipelines, vector databases, ETL), API and integration experience, and practical ML foundations (scikit-learn, PyTorch, TensorFlow)
• Proven experience shipping AI systems to production, with cloud infrastructure knowledge (AWS, Azure, GCP incl. GPU/serverless), full-stack development around AI applications, DevOps/MLOps practices (CI/CD, monitoring, model versioning), and performance optimisation across cost, latency, and scalability
• Strong business outcome focus, rapid iteration mindset, pragmatic problem-solving, and clear communication with non-technical stakeholders
• Comfortable with change management, close collaboration with a Deployment Strategist, and selecting the right AI approach for the business problem
• Speed-oriented and autonomous execution, learning agility in a fast-evolving AI landscape, travel flexibility, entrepreneurial mindset, and ethical AI awareness (safety, bias, privacy)

Essential Requirements

• University degree in Computer Science, AI/ML, Data Science, or related technical field (or equivalent practical experience)
• Portfolio of production AI/ML systems you ve built and deployed
• Fluent English (written and spoken) - additional languages (German, Spanish) are valuable for DACH and Spain regions
• Legal right to work in the region of employment (UK and EU)

Salary

• EUR 60000 - 80000 per year