Mercanis · 2 months ago
AI (Agentic) Engineer (m/f/d)
United States
Full-time
Remote
Mid, Senior LevelMercanis is building the Agentic AI Procurement Suite that powers the procurement of tomorrow, digital, transparent, and intelligent. They are seeking an experienced AI Agentic Engineer to design, build, and optimize agentic AI systems that automate complex procurement workflows and enhance decision-making across their platform.
Artificial Intelligence (AI)Enterprise SoftwareProcurementSoftware
Responsibilities
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
Qualification
Required
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
Preferred
Experience with semantic search technologies (vector databases, embeddings, RAG systems)
Strong background in measuring, evaluating, and optimizing AI system performance with clear metrics and benchmarking
Experience implementing observability and monitoring solutions for AI systems to track quality and iterate on improvements
Experience building or integrating MCP (Model Context Protocol) servers for extending AI capabilities
Knowledge of agent-to-agent (A2A) communication patterns and multi-agent system architectures
Benefits
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
Flexible remote setup with optional travel to our offices in Berlin or Barcelona
A team that values transparency, curiosity, and technical excellence
Company
Mercanis
Mercanis offers state-of-the-art software for procurement and sourcing driven by AI.
Founded in 2020
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$29.91MKey Investors
Speedinvest
2025-06-18Series A· $19.91M
2023-08-17Seed· $10M
2022-04-01Convertible Note
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