Senior Agentic AI Architect | Remote & Impactful

Limelight Health; España; Presencial; EUR 85.000 - 110.000; Jornada completa

Descripción de la vacante

Mercanis is seeking an experienced Agentic AI Engineer to design, build, and optimize agentic AI systems that automate complex procurement workflows and enable intelligent decision-making across our platform.

You will work with Python, LangGraph, and AWS, integrating models from OpenAI, Anthropic, and AWS Bedrock, and contribute to scalable AI deployments across distributed teams. Remote work in Spain or hybrid collaboration in Berlin are available.

Formación

• Strong professional experience in Python software development.
• Proven experience building AI-driven or agentic systems, preferably with LangGraph or similar frameworks.
• Solid understanding of Large Language Models (LLMs) and their integration with external APIs or structured data.
• Hands-on experience working with LLM providers such as OpenAI, Anthropic, or AWS Bedrock.
• Familiarity with cloud-based deployment and scaling, ideally using AWS services.
• Strong problem-solving skills with a focus on maintainable, efficient, and scalable code.
• A collaborative mindset and comfort working remotely with distributed teams.
• Curiosity, adaptability, and a passion for staying ahead in the evolving world of AI.
• Bonus: Experience with semantic search technologies (vector databases, embeddings, RAG systems)
• Bonus: Strong background in measuring, evaluating, and optimizing AI system performance with clear metrics and benchmarking
• Bonus: Experience implementing observability and monitoring solutions for AI systems to track quality and iterate on improvements
• Bonus: Experience building or integrating MCP (Model Context Protocol) servers for extending AI capabilities
• Bonus: Knowledge of agent-to-agent (A2A) communication patterns and multi-agent system architectures

Responsabilidades

• Strong professional experience in Python software development.
• Proven experience building AI-driven or agentic systems, preferably with LangGraph or similar frameworks.
• Solid understanding of Large Language Models (LLMs) and their integration with external APIs or structured data.
• Hands-on experience working with LLM providers such as OpenAI, Anthropic, or AWS Bedrock.
• Familiarity with cloud-based deployment and scaling, ideally using AWS services.
• Strong problem-solving skills with a focus on maintainable, efficient, and scalable code.
• A collaborative mindset and comfort working remotely with distributed teams.
• Curiosity, adaptability, and a passion for staying ahead in the evolving world of AI.
• Bonus: Experience with semantic search technologies (vector databases, embeddings, RAG systems)
• Bonus: Strong background in measuring, evaluating, and optimizing AI system performance with clear metrics and benchmarking
• Bonus: Experience implementing observability and monitoring solutions for AI systems to track quality and iterate on improvements
• Bonus: Experience building or integrating MCP (Model Context Protocol) servers for extending AI capabilities
• Bonus: Knowledge of agent-to-agent (A2A) communication patterns and multi-agent system architectures

Conocimientos

Python

LangGraph

AWS

LLM integration

OpenAI

Anthropic

AWS Bedrock

Herramientas

LangGraph & related LLM orchestration tools

Docling

LiteLLM

Phoenix

Descripción del empleo

Mercanis is seeking an experienced Agentic AI Engineer to design, build, and optimize agentic AI systems that automate complex procurement workflows and enable intelligent decision-making across our platform.

You will work with Python, LangGraph, and AWS, integrating models from OpenAI, Anthropic, and AWS Bedrock, and contribute to scalable AI deployments across distributed teams. Remote work in Spain or hybrid collaboration in Berlin are available.