bolter - AI Researcher

Remote - International1mo ago

Remote EMEA Artificial Intelligence AI Engineer

Requirements

• Experience with LLM evals, hallucination mitigation, or production AI reliability at scale. • Experience building or evaluating agentic systems, tool use, or autonomous workflows. • A public track record - papers, open source, blog posts, side projects. We love researchers who ship outside work too. • Experience in product-led research - where the output is a shipped feature, not just a finding. • While we think the above experience could be important, we're keen to hear from people who believe they have valuable experience to bring to the role. If you identify with the team and mission, but not all of our requirements, then please still apply!

Responsibilities

• Design and run experiments to test how Bolter's agents behave - reliability, context retention, multi-step task completion, and where they fail. • Build and own the evaluation layer. Design evals that measure whether agents actually do the work, not just whether they sound plausible. • Research the frontier. Keep Bolter current on the state of the art in LLM agents, tool use, and reliability - and translate that into what we should build. • Turn findings into decisions. You produce clear, actionable recommendations the engineering team can ship, not just papers. • Prototype research into product. Take promising ideas from experiment to working prototype, and hand off what proves useful. • Shape the research roadmap as Bolter grows.

Benefits

• A track record of applied AI/ML research - ideally in LLM application design, agentic systems, evals, or production AI reliability. • Strong experimental design and analysis. You know how to test a hypothesis rigorously and read the result honestly. • Strong engineering fundamentals - you can prototype your own experiments, not just direct others to run them. • Deep familiarity with LLMs, tool use, context management, and the failure modes of agentic systems. • Strong written communication. Research that isn't understood and acted on doesn't help. • You're rigorous but pragmatic. You know when a finding is strong enough to act on and when it needs more evidence. • You're comfortable with ambiguity. Many of the problems we're solving don't have textbook answers. • You can leverage AI agents as a force multiplier - we run lean, with a small human core augmented by a fleet of specialised agents.