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

Hands on capability in building Conversational AI agents

Experience implementing LLM powered systems using RAG, fine tuning, or structured prompting

Practical familiarity with agent frameworks like OpenAI Agents SDK, LangGraph, PydanticAI, or similar

Experience implementing custom MCP servers or integrating with MCP-compatible tools

Confidence connecting agents with APIs, SQL databases, internal tools, or enterprise systems

Ability to design fallback logic, memory strategies, and multi-step reasoning flows

Strong abstract thinking and the ability to break ambiguous problems into solvable components

Preferred experience

A few years' experience building AI or ML systems

Experience with chatbots, virtual assistants, or conversational UX would be useful

Familiarity with tool use, sub-agent delegation, planning, and memory patterns

Experience integrating APIs or working across web, chat, or voice modalities

Awareness of data privacy, user consent, and ethical AI considerations

What makes you a great fit!

You love the frontier of LLM and agentic system design and want to help shape real world applications

You enjoy working with product, engineering, and design teams to create human-centered solutions

You communicate clearly and enjoy explaining technical ideas to non-technical audiences

You're curious, open minded, and comfortable experimenting toward the right solution

You want to work in Aotearoa while collaborating with teams across NZ, Australia, and the US

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

Mid-Senior level

Employment type

Full-time

Job function

IT Services and IT Consulting

Auckland, New Zealand

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