ML & Agentic Solutions Engineer

About the roleWe'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. Were 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 doingDesigning conversational AI agents using LLMs, RAG patterns, fine-tuned dialogue models, and modern prompting techniquesBuilding agentic and multi agent solutions using frameworks like OpenAI Agents SDK, LangGraph, and PydanticAIImplementing MCP servers using tools like FastMCP and integrating them with enterprise systemsConnecting LLM based agents with REST APIs, databases, internal tools, and external SaaS platformsCreating human-in-the-loop collaboration flows alongside UX, product, and data teamsApplying agent orchestration, decision logic, memory management, and context routing for robust multi-step experiencesExperimenting, testing, refining, and pushing the boundaries of what tool using LLMs can doEvery project will stretch your thinking and require a mix of reasoning, engineering design, and thoughtful human experience work.What we're looking forCore competenciesHands on capability in building Conversational AI agentsExperience implementing LLM powered systems using RAG, fine tuning, or structured promptingPractical familiarity with agent frameworks like OpenAI Agents SDK, LangGraph, PydanticAI, or similarExperience implementing custom MCP servers or integrating with MCP-compatible toolsConfidence connecting agents with APIs, SQL databases, internal tools, or enterprise systemsAbility to design fallback logic, memory strategies, and multi step reasoning flowsStrong abstract thinking and the ability to break ambiguous problems into solvable componentsPreferred experienceTwo to three years building AI or ML systemsExperience with chatbots, virtual assistants, or conversational UXFamiliarity with tool use, sub agent delegation, planning, and memory patternsExperience integrating APIs or working across web, chat, or voice modalitiesAwareness of data privacy, user consent, and ethical AI considerationsWhat makes you a great fitYou love the frontier of LLM and agentic system design and want to help shape real world applicationsYou enjoy working with product, engineering, and design teams to create human centred solutionsYou communicate clearly and enjoy explaining technical ideas to non-technical audiencesYou're curious, open minded, and comfortable experimenting toward the right solutionYou want to work in Aotearoa while collaborating with teams across NZ, Australia, and the USReady to applyIf this sounds like you, even if you don't hit every skill, we'd love to hear from you. Hit apply and well take it from there.Originally posted on Himalayas