Posting record
Open 13+ days
- Mercanis.jobs.personio.com's site dates the posting
- Ghostless first sees this listing
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Mercanis.jobs.personio.com, so its true age is longer.
Last checked Nov 5, 2026.
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Not stated: Pay, real vacancy, AI screening.
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Skills mentioned
About the role
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.Â
Your work will have a direct impact on how organizations streamline their procurement processes and leverage AI for strategic advantage.
Your Responsibilities on this role
- Strong professional experience in Python software developmentÂ
- Proven experience building AI-driven or agentic systems, preferably with LangGraph or similar frameworksÂ
- Solid understanding of Large Language Models (LLMs) and their integration with external APIs or structured dataÂ
- Hands-on experience working with LLM providers such as OpenAI, Anthropic, or AWS BedrockÂ
- Familiarity with cloud-based deployment and scaling, ideally using AWS servicesÂ
- Strong problem-solving skills with a focus on maintainable, efficient, and scalable codeÂ
- A collaborative mindset and comfort working remotely with distributed teamsÂ
- Curiosity, adaptability, and a passion for staying ahead in the evolving world of AI
- Bonus:Â Experience with semantic search technologies (vector databases, embeddings, RAG systems)
- Bonus:Â Strong background in measuring, evaluating, and optimizing AI system performance with clear metrics and benchmarking
- Bonus:Â Experience implementing observability and monitoring solutions for AI systems to track quality and iterate on improvements
- Bonus:Â 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: PythonÂ
- Frameworks & Tools: LangGraph & related LLM orchestration tools, Docling, LiteLLM, Phoenix
- Infrastructure:Â AWS (Lambda, S3, ECS, and more)
- Models: OpenAI, Anthropic, AWS Bedrock, and other foundation model providers
Why to 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 learningÂ
- Real ownership and autonomy in developing core AI components and system designÂ
- Career growth opportunities in applied AI engineering and architectureÂ
- Flexible remote setup in Spain
- A team that values transparency, curiosity, and technical excellence
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