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# Forward Deployed Ai Engineer (All Genders)

- **Company:** Udg United Digital Group
- **Location:** Barcelona, Spain
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Integration, Information Engineering, Extract Transform Load (ETL), DevOps, Python (Programming Language), Performance Tuning, Tensorflow, Software Deployment, Systems Integration, Web Application Frameworks, Google Cloud, Pytorch, Large Language Models, Prompt Engineering, Generative AI, Scikit Learn, Low Latency, Machine Learning Operations, Virtual Agents, GPT, Software Version Control, Data Pipelines, Serverless Computing
- **Published:** September 19, 2026
- **Apply:** https://www.buscojobs.com.es/forward-deployed-ai-engineer-all-genders-en-barcelona-ID-372103458

## About the Role

Technical Pre-Sales & Demonstration: build rapid AI prototypes and demos for prospects; demonstrate AI capabilities with concrete business examples; establish technical credibility; assess client AI readiness (data quality, infrastructure, organizational capability)
Requisitos principales2+ years of AI/ML implementation experience
Hands-on with large language models and generative AI (GPT-4, Claude, Llama); prompt engineering, RAG, fine-tuning, AI agent development (LangChain, AutoGen, CrewAI)
Strong Python skills; data engineering capabilities (pipelines, vector databases, ETL)
API/integration experience; solid ML foundations (scikit-learn, PyTorch, TensorFlow)
Production shipping experience with cloud infrastructure knowledge (AWS, Azure, GCP incl. GPU/serverless)
DevOps/MLOps practices (CI/CD, monitoring, model versioning); performance optimization (cost, latency, scalability)
Strong business-outcome focus, rapid iteration, pragmatic problem-solving; clear non-technical communication; change management; collaboration with Deployment Strategist
Travel flexibility; entrepreneurial mindset; ethical AI awareness (safety, bias, privacy)
strong communication with non-technical stakeholders
collaboration withDeployment Strategist
change management
LangChain
AutoGen
CrewAI or similar

## Description

OverviewIn this role you will design and ship production-grade AI systems that drive measurable business results.You'll operate in fast-changing environments, translating prototype ideas into scalable solutions and partnering with clients to enable AI-led change.You will work across AI deployment, business process transformation, and technical pre-sales to showcase real value.This is a hands-on position with a strong focus on impact, governance, and collaboration with cross-functional teams.ResponsabilidadesAI Implementation & Deployment: design, build, and deploy production-ready AI solutions (automation, agents, predictive analytics, generative AI); move ideas from prototype to production with modern frameworks and foundation models; API/data pipeline integration; governance and monitoring for safe operation; collaborate with client teams to enable AI adoptionBusiness Process Transformation: map current processes, identify bottlenecks, design AI-enabled future states, assess ROI and success metrics, prioritize use cases for impactTechnical Pre-Sales & Demonstration: build rapid AI prototypes and demos for prospects; demonstrate AI capabilities with concrete business examples; establish technical credibility; assess client AI readiness (data quality, infrastructure, organizational capability)Requisitos principales2+ years of AI/ML implementation experienceHands-on with large language models and generative AI (GPT-4, Claude, Llama); prompt engineering, RAG, fine-tuning, AI agent development (LangChain, AutoGen, CrewAI)Strong Python skills; data engineering capabilities (pipelines, vector databases, ETL)API/integration experience; solid ML foundations (scikit-learn, PyTorch, TensorFlow)Production shipping experience with cloud infrastructure knowledge (AWS, Azure, GCP incl. GPU/serverless)DevOps/MLOps practices (CI/CD, monitoring, model versioning); performance optimization (cost, latency, scalability)Strong business-outcome focus, rapid iteration, pragmatic problem-solving; clear non-technical communication; change management; collaboration with Deployment StrategistTravel flexibility; entrepreneurial mindset; ethical AI awareness (safety, bias, privacy)strong communication with non-technical stakeholderscollaboration withDeployment Strategistchange managementLangChainAutoGenCrewAI or similar


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