AI Solutions Engineer (Multi-Agent Systems, Python)

TL;DR

AI Solutions Engineer (Multi-Agent Systems, Python): Designing and building production-grade multi-agent LLM systems and agent-based solutions integrated with a product platform with an accent on orchestration complexity, routing, and memory. Focus on implementing autonomous agents with tool-calling and fallback strategies, developing multimodal pipelines, and ensuring system reliability.

Location: On-site in Lisbon, Portugal

Company

hirify.global helps game developers achieve financial and creative independence by providing the solutions they need to launch, run, and grow their businesses.

What you will do

• Design and implement multi-agent systems, including orchestrator and worker agents, focusing on routing, memory, and fallback strategies.
• Build core infrastructure for agent execution, tool calling, state management, and multimodal pipelines.
• Integrate AI agents with internal platform APIs and product workflows, creating necessary adapters and integration layers.
• Implement comprehensive testing and evaluation pipelines to measure LLM performance and ensure system stability.
• Collaborate with Product and Engineering teams to define use cases and establish best practices for production-grade AI systems.

Requirements

• Strong Python backend development experience, including async programming and APIs.
• Commercial experience building multi-agent LLM systems.
• Proficiency with agent frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or LlamaIndex.
• Experience with vector databases (e.g., Qdrant, Pinecone, Weaviate) and Redis for caching/state management.
• Experience integrating multiple model providers like OpenAI, Anthropic, or self-hosted models.
• Strong ownership and ability to lead the process from problem definition to architecture and implementation.

Nice to have

• Practical ML knowledge or a formal ML background.
• Experience designing AI product architectures and benchmarking frameworks.
• Experience working with large API ecosystems.
• Proficiency with AI observability tools.