Live opening · Posted 3 days ago

Senior Agentic AI Engineer (m/f/x)

Mercanis · Spain (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 3 days ago
CompanyMercanis
LocationSpain (Remote)
Work modeYes
SourceLinkedin
Listed3 days ago

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About the role

Description supplied by the original job listing.

Your mission at Mercanis
At Mercanis, we are building the Agentic AI Procurement Suite that powers the procurement of tomorrow: digital, transparent, and intelligent.
We are looking for an experienced Agentic AI Engineer to join our growing AI team. In this role, you will design, build, and optimize agentic AI systems that automate complex procurement workflows and power intelligent decision-making across our platform.
You will work with cutting-edge technologies in Python, LangGraph, and AWS, integrating and fine-tuning models from leading providers such as OpenAI, Anthropic, and AWS Bedrock.
Your work will have a direct impact on how organizations streamline their procurement processes and leverage AI for strategic advantage.
Your responsibilities in this role
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
Role requirements
Tech stack you will work with:
Languages: Python
Frameworks & Tools: LangGraph & related LLM orchestration tools, Docling, LiteLLM, Phoenix
Infrastructure: AWS (Lambda, S3, ECS, and more)
Models: OpenAI, Anthropic, AWS Bedrock, and other foundation model providers
Why join us here at Mercanis?
The chance to shape the future of AI in procurement, designing intelligent systems that have real business impact A collaborative and innovative culture that values experimentation and continuous learning
Real ownership and autonomy in developing core AI components and system design
Career growth opportunities in applied AI engineering and architecture
Vibrant office culture with home office possibilities
A team that values transparency, curiosity, and technical excellence

Work arrangement
Yes

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