Agentic AI Engineer (Procurement)

TL;DR

Agentic AI Engineer (AI): Designing and optimizing agentic AI systems to automate complex procurement workflows with an accent on LLM orchestration and cloud scalability. Focus on integrating foundation models via LangGraph and AWS to power intelligent decision-making.

Location: Remote in Spain or Hybrid in Berlin, Germany

Company

hirify.global is building an Agentic AI Procurement Suite to make procurement digital, transparent, and intelligent.

What you will do

• Design, build, and optimize agentic AI systems that automate complex procurement workflows.
• Integrate and fine-tune models from leading providers including OpenAI, Anthropic, and AWS Bedrock.
• Develop maintainable, efficient, and scalable code using Python and LangGraph.
• Leverage AWS infrastructure (Lambda, S3, ECS) for cloud-based deployment and scaling.
• Collaborate with distributed teams to implement intelligent decision-making features.

Requirements

• Strong professional experience in Python software development.
• Proven experience building AI-driven or agentic systems, preferably with LangGraph.
• Solid understanding of Large Language Models (LLMs) and integration with external APIs.
• Hands-on experience with LLM providers such as OpenAI, Anthropic, or AWS Bedrock.
• Familiarity with cloud-based deployment and scaling using AWS services.
• Must be based in Spain for remote work or in Berlin for hybrid work.

Nice to have

• Experience with semantic search technologies, including vector databases, embeddings, and RAG systems.
• Background in measuring, evaluating, and optimizing AI system performance.
• Experience implementing observability and monitoring solutions for AI systems.
• Experience building or integrating MCP (Model Context Protocol) servers.
• Knowledge of agent-to-agent (A2A) communication patterns and multi-agent architectures.

Culture & Benefits

• Opportunity to shape the future of AI in procurement with real business impact.
• 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 work arrangements (Remote in Spain or Hybrid in Berlin).