AI Engineer (Agentic Systems)

Every question matters, every pathway, direction, thought process and conversation. Because every challenge makes us stronger, more knowledgeable, more determined and more valuable to our clients. We’re not big on egos and we’re not for the faint hearted. We stand for camaraderie, collaboration and change. Welcome to Data Intellect . Challenge Accepted. We build AI systems that go into production. Our clients are Tier 1 banks and hedge funds with real data volumes and real regulatory pressure and they hire us because we can put working software in front of them quickly. This role is for an engineer who has already built agentic AI systems and wants to do more. You will design and build agents that call tools, query client data, reason over it and hand back something a user can act on. Some of that runs against cloud model APIs, some of it runs on local models inside a client's network because the data cannot leave the building. You need to be comfortable with both. You will work directly with client engineers and stakeholders, as an AI specialist. What you will be doing Building and shipping LLM-backed agents: tool use, MCP servers, retrieval, orchestration between specialist agents, evaluation and guardrails Working across cloud model APIs and locally hosted models, and making sensible calls about which fits a given client's constraints Using AI-assisted development tools as a core part of how you work, and having a view on where they help and where they get in the way Turning a vague client problem into a scoped proof of concept, then into something maintainable Explaining your design decisions to people who are technical and non-technical people. Building reusable accelerators so the next engagement starts further along than the last one Essential Demonstrable experience building AI agents that use LLMs, cloud hosted or local. We will want to talk in detail about something you have built, why you built it that way and what broke Fluent use of AI-assisted coding t