AI engineer in multi-agent systems

BoldSphere is an IT consulting and staffing company that helps organizations build high-performing technology teams and deliver efficient digital solutions. We’re looking for an AI Engineer to design, build, and deploy LLM-powered multi-agent systems. You’ll work with product and engineering teams to build workflows where specialised agents share context, use tools, and hand off tasks. You’ll also define how those workflows recover from failures and when they require human review.

• Design and implement multi-agent workflows, including task routing, agent coordination, state management, and handoffs.
• Connect agents to APIs, data sources, and external tools, and use retrieval-augmented generation (RAG) to ground responses in relevant information.
• Build automated evaluations to measure output quality, tool-use accuracy, and end-to-end task completion.
• Implement tracing, monitoring, and recovery mechanisms to improve reliability and manage latency and cost.
• Work with product and engineering teams to define success criteria and take solutions from prototype to production.

• Strong Python development skills and experience building and integrating APIs.
• Hands-on experience building LLM-powered applications and orchestrating multi-agent workflows using LangGraph, AutoGen, Semantic Kernel, or an equivalent framework.
• Practical experience with tool calling, structured outputs, and state management across multi-step workflows.
• Experience building RAG pipelines and working with vector search.
• Experience evaluating and debugging LLM applications, including tracing failures across multiple steps.
• Experience deploying and monitoring AI applications in a cloud environment.

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