workwave - Senior AI Engineer, Agentic Platform

• The Owner: You measure your work by whether customers made better decisions with the agent's help, not by whether it shipped. • The Agent Builder: You've taken an agent past the demo. You know the hard part is everything after it works once—coverage, grounding, cost, and the failure modes you only see at scale. You fix problems without waiting for a ticket. • The Experience Obsessive: You care how an answer lands, not just whether it was right. Trustworthy, fast, and legible beats clever. • We know that great talent comes from many backgrounds. If you are a builder who cares about the "why" behind the code, we want to hear from you! • We build with coding agents. You set direction and targets, review output critically, and build the harnesses—scaffolding, context, tests, review loops—that make the next task faster for the whole team. The leverage is in the verification: the tests, CI gates, and typed interfaces that make agent-written code safe to merge. • ## What You"ll Bring • Experience: 5+ years building production software or data-intensive systems used by real customers, with strong Python skills—including at least one LLM or agent feature you shipped to production users. • AWS & Agent Stack: Hands-on AWS experience, ideally Amazon Bedrock and Bedrock AgentCore. Equivalent agent runtimes transfer, but we build on AWS and you'll be productive faster if you have prior exposure. • Agent Engineering: Orchestration, tool and function design, context assembly, and multi-step workflows—you've made the design calls, not just the prompt calls. • Retrieval & Domain Grounding: You've built retrieval over real business data, you can explain how context gets selected and why an answer was wrong, and you have enough SQL and metric fluency to catch an agent answering with the wrong number. • Evaluation & Iteration: You've built or owned an eval loop for a generative system—labelled sets, regression gates, and a number you could defend when someone asked whether it got better. • Product Sense for AI: You have opinions about how an agent should behave—when to answer, when to ask, when to refuse, how to show its work—and you've shipped those opinions, not just argued them. • Measurement & Narrative: You've quantified what an agent actually delivered for users—adoption, task success, decision quality—and presented it to people who were never going to read your traces. • Working With Agents: You've used coding agents on real production work, you can tell correct output from merely plausible output, and you invest in the harnesses that make the next task faster. • Communication & Collaboration: Excellent communication and collaboration skills, with a track record of working across technical and non-technical teams. • LLM observability tooling (Langfuse, LangSmith, or Arize). • Semantic layer or metrics-layer design (Ossie, dbt). • Field-service, logistics, or other operational SaaS domains. • Prior experience as a senior or lead engineer responsible for guiding technical direction. • Location: Remote (UK-based) with occasional collaborative team meetups. • Right to Work: Applicants must currently have the legal right to work in the UK. We are unable to provide visa sponsorship for this position at this time.