Forward Deployed Ai Engineer (All Genders)

Udg United Digital Group; Barcelona; Presencial; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

MSQ DX is seeking a hands-on AI Engineer to build and ship production-ready AI systems that deliver measurable business impact. You will deploy AI solutions, move ideas from prototype to production, and integrate AI into client ecosystems with governance and monitoring.

You will work with LangChain, OpenAI and other foundation models, leveraging cloud infrastructure and MLOps practices to ensure scalable, cost-efficient deployments that drive tangible value for enterprise clients.

Formación

• Proven production AI/ML experience with hands-on work on LLMs and generative AI.
• Strong Python skills and experience building data pipelines and APIs.
• Experience shipping AI systems using cloud platforms and MLOps practices.

Responsabilidades

• AI implementation and deployment of production AI solutions delivering measurable business impact.
• Move ideas from prototype to production using modern frameworks and foundation models.
• Integrate AI into client systems via APIs and data pipelines with governance and monitoring.
• Collaborate with deployment strategists and stakeholders to drive AI-led change.
• Support technical pre-sales with rapid AI prototypes and demonstrations.

Conocimientos

AI/ML implementation

Python programming

APIs & integrations

CI/CD / MLOps

Educación

University degree in Computer Science / AI / Data Science

Herramientas

LangChain

OpenAI / LLMs

Data pipelines

Vector databases

Descripción del empleo

Descripción del trabajo

We’re looking for a hands‑on AI Engineer who’s passionate about turning AI into real business impact. In this role, you’ll build and ship production‑ready AI systems, work comfortably in fast‑changing environments, and focus on solutions that deliver measurable value. You understand that successful AI is as much about organisations and expectations as it is about technology. Interested in shaping the future of AI with us?

About MSQ DX. MSQ DX is the world’s first digital impact company, formed through the integration of three leading digital agencies (26 DX, MMT Digital, and UDG). With over 500 experts across the UK, Germany, Spain, and the USA, we work with complex organisations including Porsche, Bosch, Vodafone, BCG, Vaillant, and Caesars Entertainment to translate digital experience into measurable business impact. Learn more on our new website at… We’re at the forefront of helping enterprises move beyond AI experimentation into production deployment and business transformation. Our AI‑enabled delivery approach combines deep technical expertise with business outcome focus, helping clients navigate the critical “trial‑to‑production” gap that’s holding back enterprise AI adoption.

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)