Overview
Es esencial asegurarse de que cumple con los requisitos como solicitante para este puesto;
por favor, lea atentamente la información a continuación.

In 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.

Responsabilidades

- AI 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 clientteams to enable AI adoption
- Business Process Transformation: map current processes, identify bottlenecks, design AI-enabled future states, assess ROI and success metrics, prioritize use cases for impact
- 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 principales

- 2+ 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, xhfqzwm 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

📌 Forward Deployed Ai Engineer (All Genders) (Barcelona)
🏢 Jobrapido
📍 Barcelona