Overview

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In this role you design, build, and deploy production-grade agentic AI systems across the enterprise stack, collaborating directly with client engineering teams. You own end-to-end orchestration, RAG pipelines, and multi-provider integration to scale across engagements. You will implement LLMOps, observability, and cost/safety monitoring while developing reusable patterns and accelerators that accelerate future work. This is a hands-on, client-facing opportunity to shape enterprise AI solutions at scale.

Responsabilidades
- Design and build production-grade agentic systems end-to-end: multi-agent orchestration, RAG pipelines, policy-based routing, tool invocation, memory management, and lifecycle observability
- Build and own RAG pipelines: embeddings, chunking strategy, vector search, context window engineering
- Integrate and abstract across multiple LLM providers — OpenAI, Anthropic, Vertex AI,



and open-source models — with fallback routing, token, cost, and latency management
- Implement LLMOps in production: eval harnesses with real quality metrics, prompt versioning, observability tooling (LangSmith, Braintrust, or equivalent), cost and safety monitoring
- Embed directly with client engineering teams to design, prototype, and deploy agentic solutions — workshops, proofs of concept, code-with sessions, and architecture walkthroughs
- Build reusable patterns, accelerators, and playbooks that scale beyond the individual client engagement and enable the next one to start faster
- Define and use metrics to measure agent accuracy, latency, safety, and cost-effectiveness; present findings and recommendations to client stakeholders in business terms

Requisitos principales
- Strong software engineering experience in production environments
- Hands-on experience designing and deploying agentic AI solutions in a product

📌 AI Software Engineer | Spain (Barcelona)
🏢 Jobrapido
📍 Barcelona