8 publicaciones de empleo destacadas de forward deployed ai engineer (all genders) en barcelona, ct (¡Están contratando!)

Forward Deployed AI Engineer (all genders)
UDG Ludwigsburg GmbH —Barcelona, Barcelona provincia
- Jornada completa
- Español
- Azure
- Informática
Solicitud rápida
Forward Deployed Engineer - Spanish Speaker
Salesforce —Barcelona, Barcelona provincia
- Jornada completa
- Español
- Informática
- Salesforce
Robotics Visual SLAM Software Engineer
ABB Robotics Ibérica, S.A.U. —Sant Quirze del Vallès, Barcelona provincia
- Jornada completa
- Informática
- Inglés
- C++
- Teletrabajo opcional
Solicitud rápida
Frontend Senior Software Engineer – Convert (Hybrid)
eDreams ODIGEO —Barcelona, Barcelona provincia
- Oficina
- JavaScript
- POS
Robotics Senior 3D Perception & Computer Vision Engineer
ABB Robotics Ibérica, S.A.U. —Sant Quirze del Vallès, Barcelona provincia
- Jornada completa
- Informática
- C++
- Desarrollo de software
Solicitud rápida
Technical Program Manager - Artificial Intelligence & Machine Learning
Everseen —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Informática
- PMP
- DevOps
Robotics Applications Engineer
ABB Robotics Ibérica, S.A.U. —Sant Quirze del Vallès, Barcelona provincia
- Jornada completa
- Inglés
- Linux
- Python
Solicitud rápida
5d
Interested in Working with Everseen?
Everseen —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido

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Forward Deployed Engineer - Spanish Speaker
Salesforce —Barcelona, Barcelona provincia
Develop proofs-of-concept and MVPs quickly, with the judgment to know which decisions can be deferred and which need to be right the first time.

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Forward Deployed AI Engineer (all genders)

UDG Ludwigsburg GmbH -
Barcelona, Barcelona provincia

Solicitud rápida

Detalles del empleo

Jornada completa

Cualificaciones

TensorFlow
CI/CD
Español
Azure
Informática
DevOps
Inglés
AWS
Grado
APIs
ETL
Escalabilidad
Cloud
Inteligencia artificial
Python

Descripción completa del empleo

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?
We’d love to hear from you — apply now!

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 www.msqdx.com

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)

Solicitud rápida

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Interested in Working with Everseen?

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