We are seeking an experienced

AI Engineer with expertise in

Agentic AI

,

LLMs

, and

RAG to develop and enhance multi-agent AI applications on an enterprise Agent Mesh platform. The role involves building scalable AI solutions, improving agent orchestration, and delivering production-ready applications using modern AI frameworks and cloud-native technologies.

Key Responsibilities

- Develop and enhance

Agentic AI applications using

Python and

FastAPI

.

- Design and implement

LLM-based solutions with

LangGraph, LangChain, Pydantic-AI

, or similar frameworks.

- Build and optimize

RAG pipelines

, vector search, embeddings, and retrieval quality.

- Develop responsive front-end components using

React

.

- Ensure application scalability, concurrency, and thread-safe request handling.

- Deploy and manage applications using

Docker and

Kubernetes

.

- Write and maintain automated tests using pytest and

Vitest

.





- Debug and optimize AI workflows across frontend, backend, and agent layers.

Required Skills

- Strong

Python

,

FastAPI

, and asynchronous programming.

- Hands-on experience with

LLMs, Agentic AI, LangGraph/LangChain, Pydantic-AI, Prompt Engineering, Tool Calling, and RAG

.

- Experience with

Vector Databases

(Qdrant, pgvector, or similar).

- Strong

React

, JavaScript, and CSS skills.

- Experience with

Docker

,

Kubernetes

, and CI/CD practices.

- Strong debugging, testing (

pytest, Vitest

), and problem-solving skills.

Nice to Have

- AWS Bedrock

, Langfuse, GitHub Actions, Helm.

- SSO/OAuth (Azure AD/MSAL).

- Document generation (python-pptx/PDF).

- Experience in

Pharma/Life Sciences or regulated environments.

- Prompt evaluation frameworks and LLM observability tools.

📌 Artificial Intelligence Engineer (Barcelona)
🏢 PRIMUS Global Solutions (PRIMUS UK u0026 Europe)
📍 Barcelona