ABOUT THE ROLE
We build domain-specific, context-aware AI assistants powered by Large Language Models and agentic AI. Our assistants go well beyond a chatbot: they interpret what a user is actually asking, decide which tools and data sources are needed, orchestrate multiple specialized agents and steps to carry out the work, and compose a clear answer grounded in real data.
In practice that means LLM-driven reasoning wired into real systems- tool and function calling, workflow and agent orchestration, conversation memory, and autonomous multi-step execution - delivered across web and mobile, in both text and voice.
This is a senior role to design, enhance, and own one of these products in production. You'll own meaningful parts of a live AI system building new capabilities, expanding what it can handle, deepening how it understands a conversation, and integrating it with more tools, data, and agents. This is a build-and-grow role on a system already in production, not a research project.
You'll work closely with product and data teams, take genuine ownership, and see your work reach users quickly.
WHAT YOU'LL DO
- Design and build new capabilities for the assistant - from idea to production.
- Build the agentic core: LLM-driven reasoning that decides what to do, calls the right tools, and runs multi-step workflows.
- Design how multiple specialized agents and steps coordinate to handle complex requests (agentic orchestration).
- Integrate the assistant with data sources, internal APIs, and external tools through function/tool calling.
- Build and refine conversation memory and context handling, so it follows up naturally across a chat.
- Expand the range of questions it can handle and the depth of its answers.
- Keep answers grounded in real data - a principle we build to.
- Improve the speed, cost, and stability of the system as it scales.
- Use evaluation and monitoring to keep quality high as the product grows.
- Deploy, monitor, and support the assistant in production.
- Partner with product owners and stakeholders to turn business needs into working features.
WHAT WE'RE LOOKING FOR
- 5+ years building backend systems in Python (FastAPI, Django, or Flask).
- Real hands-on experience building applications with LLMs — production, not just prototypes.
- Hands-on experience designing agentic systems: tool/function calling, workflow orchestration, and multi-agent coordination.
- A good grasp of prompt design, conversation memory, and context management.
- Familiarity with retrieval and semantic search (embeddings, vector databases) and a sense of when to use them.
- Familiarity with an agent/orchestration framework (LangChain, LlamaIndex, LangGraph, or similar).
- Experience running APIs and services in production on a major cloud (AWS, Azure, or GCP).
- A strong ownership mindset - able to drive a feature from design to production with limited hand-holding.
- A clear communicator who's comfortable working directly with product people and stakeholders.
NICE TO HAVE
- Experience building AI on top of large, real-world datasets.
- Exposure to voice or conversational interfaces.
- Experience with .NET / ASP.NET Core (part of our stack uses it).
WHY THIS ROLE
- Work on a live, agent-driven AI product with real users - not a proof-of-concept.
- Real ownership and fast impact - what you build ships.
- A role where quality and craft genuinely matter.
