Senior Agentic AI Engineer

Mercanis; Berlin; Remote; EUR 90,000 - 135,000; Full time

Benefits offered by this job

Home office possibilities

Ownership and autonomy

Career growth in AI engineering

Job summary

Mercanis is building the Agentic AI Procurement Suite to power procurement of tomorrow—digital, transparent, and intelligent. We are seeking an experienced Agentic AI Engineer to design, build, and optimize agentic AI systems that automate complex procurement workflows across our platform.

You will work with Python, LangGraph, and AWS, integrating models from OpenAI, Anthropic, and AWS Bedrock to enable intelligent decision-making and scalable deployments.

Qualifications

• Strong Python software development experience.
• Experience building agentic AI 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 with LLM providers such as OpenAI, Anthropic, or AWS Bedrock.
• Familiarity with cloud-based deployment and scaling, ideally using AWS services.
• Remote collaboration with distributed teams.

Responsibilities

• Design, build, and optimize agentic AI systems that automate procurement workflows.
• Integrate and fine-tune models from providers such as OpenAI, Anthropic, and AWS Bedrock.
• Collaborate with remote distributed teams and ensure scalable, maintainable code.

Skills

Python

LangGraph

LLMs integration

AWS

OpenAI/Anthropic/AWS Bedrock

Tools

LangGraph

Docling

LiteLLM

Phoenix

Job description

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 possibilites
• A team that values transparency, curiosity, and technical excellence