About the role
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. 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 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
- Two to three years building AI or ML systems
- Experience with chatbots, virtual assistants, or conversational UX
- Familiarity with tool use, sub agent delegation, planning, and memory patterns
- Experience integrating APIs or working across web, chat, or voice modalities