Generative AI Engineer

Overview

Design, build and deploy LLM-based assistants and agents for customer-facing teams, taking them from prototype into production on AWS.

What you'll do

• Design and develop LLM-based agents with tool calling, memory and orchestration.
• Build documentation and information retrieval pipelines with embeddings, vector databases, RAG, and response quality evaluation.
• Deploy and operate solutions on Amazon Bedrock and AgentCore using infrastructure as code.
• Develop full stack components: backend (APIs, integrations, authentication), user interface, and integration with internal systems via MCP and APIs.
• Measure and improve observability, costs, latency, and response quality.

What you'll need

• Demonstrable experience taking LLMs and agents into production (not just prototypes).
• Strong command of RAG: chunking, embeddings, vector search, and evaluation.
• Solid knowledge of AWS, particularly Bedrock and AgentCore.
• Cloud development experience: serverless, containers, IAM, networking, and CI/CD.
• Infrastructure as Code with Pulumi.
• Familiarity with backends in Python and/or TypeScript, and frontends built with a modern framework (React or similar).
• Security best practices: OAuth/OIDC, secrets management, and per-user permissions.
• Experience with Model Context Protocol (MCP).
• LLM observability (Langfuse or similar) and automated evaluation.
• Strong comprehension and analytical skills.
• Very fast adaptation to emerging developments and tools.
• Highly proactive mindset: proposes ideas rather than waiting for instructions.
• Ability to communicate in business terms and explain technical decisions to non-technical stakeholders.
• Strong critical judgment regarding AI: uses it as a tool and critically validates its outputs.
• Ability to understand the business model and the broader purpose of the work being done.
• Oral and written fluency in English (B2 or above).

Nice to have

• Knowledge of Salesforce.

Details

• Location: Remote, Spain.
• Employment type: Full time, permanent contract.
• Flexible schedule.