Agentic AI Engineer

Join Mercanis, a leading company in the procurement industry, as an Agentic AI Engineer. In this role, you will design, build, and optimize AI systems that automate complex procurement workflows and enhance decision-making. You will work with cutting-edge technologies, including Python, LangGraph, and AWS, and have a direct impact on streamlining procurement processes. Enjoy a collaborative work environment, opportunities for personal growth, and regular team events.

• Design, build, and optimize agentic AI systems that automate complex procurement workflows and power intelligent decision-making across the platform.
• Integrate and fine-tune models from leading providers such as OpenAI, Anthropic, and AWS Bedrock, working with cutting-edge technologies in Python, LangGraph, and AWS.
• Measure, evaluate, and optimize AI system performance with clear metrics and benchmarking, ensuring maintainable, efficient, and scalable code.

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