Indicium AI - Senior Forward Deployed AI Engineers
Requirements
• MCP server development and tool ecosystem integration • Experience in Financial Services, Energy, Healthcare, or another regulated environment • Model observability tooling such as LangSmith or Weights & Biases, and cost and latency optimisation at scale • Writing, speaking, or community contribution in AI engineering • Experience working alongside partner ecosystems such as Anthropic, Databricks, or AWS • What we are not asking for: a specific number of years, a particular degree, consulting experience, or hands-on time with every tool listed above. We are asking for evidence that you build things that work, and that you learn quickly.
Responsibilities
• Build and ship production-quality agentic AI systems end to end; agent orchestration, tool-use patterns, RAG and retrieval architectures, and the reliability layer around them • Design and implement evaluation frameworks and observability for non-deterministic systems • Raise build quality deliberately through testing, output validation, and automating manual checks • Earn the trust of client-side technical leaders as someone who delivers complex things and tells the truth about them • Stay current as the field moves, and bring what you learn back to the team • Explain trade-offs clearly to non-engineers, and manage expectations honestly • Improve how the whole team works, not only your own output • Contribute reusable assets, reference implementations and knowledge back from client work. The things that make the next engagement faster • We'd Like To Speak To You If... • Read this as "some of these", not "all of these." Almost nobody has the full list. If several sound like you, and the rest sound like things you would enjoy getting good at, we encourage you to apply. • You have built and deployed agentic AI systems into production, not just POCs or personal projects • You have worked with multi-step LLM workflows including tool use, multi-agent orchestration, using frameworks such as the Claude Agent SDK, LangGraph, Strands or CrewAI, or your own implementation where a framework did not fit • You have implemented RAG or retrieval architectures: embedding strategies, chunking, hybrid search, reranking, vector or graph stores • You write production-grade code comfortably, and review other people's code to a high standard. Python is our common language, though strong fundamentals in another modern language is interesting to us too • You have evaluated LLM systems and have opinions about how it should be done in enterprise settings • You are comfortable with at least one major cloud (AWS, Azure, GCP) and have shipped into production environments with real enterprise constraints • You have worked with clients or stakeholders outside your own team, and can hold a technical conversation with people who are not engineers • You take ownership in ambiguity. You make a call, communicate it, and deliver, rather than waiting for the brief to arrive
Benefits
• Access to leading AI Labs: Anthropic’s first European launch partner. One of the first four OpenAI UK partners. Databricks Ventures invested and on our board. Our engineers work with capabilities before the wider market does and work jointly with teams from leading AI Labs on customer delivery. • Access to leading AI Labs: • We are builders: We embed, we architect, we build - and we stay until it works. Our engineers make real decisions on live systems, for clients in industries where getting it wrong has consequences. There are no layers between you and the work. • We are builders: • Problems worth solving: No two engagements are the same. The variety and complexity of enterprise AI problems at Indicium AI is something a product company simply cannot offer. If you want engagements that test every dimension of what you can do, this is where they are. • Problems worth solving: • Investment in staying at the frontier: The best engineers we know are relentlessly curious - and we build an environment that supports learning and growth. Every engineer has access to leading AI training and tools, career development pathways, and a flexible L&D budget. We think that’s how it should be. • Investment in staying at the frontier:
Apply in one click
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT