ML & Agentic Solutions Engineer

Join to apply for the ML & Agentic Solutions Engineer role at Provoke Solutions .

We’re looking for an ML and Agentic Solutions Engineer who gets excited by the idea of building AI systems. If you love working with cutting edge LLMs, conversational interfaces, tool-using agents, and emerging frameworks like MCP, you’ll be right at home here.

This role sits at the intersection of engineering, product thinking, and creative problem solving. You’ll help our customers design next generation conversational and agentic experiences that reason, plan, act, and collaborate with humans across tools, systems, and real business environments.

You don’t need to be a decade-deep researcher. We’re looking for someone bright, curious, and capable who wants to shape how modern agentic AI gets built in the real world.

What you’ll be doing

• Designing conversational AI agents using LLMs, RAG patterns, fine-tuned dialogue models, and modern prompting techniques
• Building agentic and multi-agent solutions using frameworks like OpenAI Agents SDK, LangGraph, and PydanticAI
• Implementing MCP servers using tools like FastMCP and integrating them with enterprise systems
• Connecting LLM-based agents with REST APIs, databases, internal tools, and external SaaS platforms
• Creating human-in-the-loop collaboration flows alongside UX, product, and data teams
• Applying agent orchestration, decision logic, memory management, and context routing for robust multi-step experiences
• Experimenting, testing, refining, and pushing the boundaries of what tool-using LLMs can do

Every project will stretch your thinking and require a mix of reasoning, engineering design, and thoughtful human experience work.

What we’re looking for

Core competencies

Preferred experience

What makes you a great fit!

Ready to apply?

If this sounds like you, even if you don’t hit every skill, we’d love to hear from you. Hit apply and we’ll take it from there.

Seniority level

Employment type

Job function

Auckland, New Zealand

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