Senior AI Engineer: WorkWave

UK AI Tools & Digital Services; United Kingdom; Remote; GBP 70,000 - 100,000; Full time

Job summary

WorkWave is seeking a Senior AI Engineer for its Agentic Platform, a remote UK role with occasional team meetups. You will own agent outcomes from customer need through delivery and iteration, focusing on production agents, evaluation, retrieval, tool use, and platform operations.

You will work with Bedrock, Bedrock AgentCore, MCP, Python, and AWS service APIs to improve quality, explanations, and user experience in production. The role emphasizes measurable impact on adoption and reliability.

Qualifications

• Five or more years building production software or data-intensive systems.
• Shipped an LLM or agent feature.
• Strong communication and ability to relate to product needs.
• AWS work experience and Python development.
• Experience with Bedrock and agent runtimes is a plus.

Responsibilities

• Own agent outcomes from initial customer need through delivery and iteration.
• Contribute to retrieval, multi-step workflows, tool design, and service integration.
• Measure adoption, task success, latency, and user impact; report findings to Product and the business.
• Support production AI infrastructure, instrumentation, tracing, and guardrails.

Skills

Python

SQL

Metrics fluency

Production software

Tools

Amazon Bedrock

Bedrock AgentCore

MCP endpoints

AWS services

Job description

Role: Senior AI Engineer, Agentic Platform

Employer: WorkWave

Location: Remote in the United Kingdom, with occasional team meetups

Employment type: Full-time

Focus: Production agents, evaluation, retrieval, tools, and AI platform operations

Work authorisation: Existing legal right to work in the UK required

Visa sponsorship: Not available

WorkWave is hiring a Senior AI Engineer for its Agentic Platform team in a remote UK role. The position is full-time and focuses on production agents, evaluation systems, retrieval, tool use, and customer-facing outcomes. The engineer owns agent work from a customer need through delivery and iteration. The role requires the legal right to work in the UK, and WorkWave does not provide visa sponsorship.

The engineer works with Amazon Bedrock, Bedrock AgentCore, MCP, Python, service APIs, semantic layers, and business data. WorkWave's AskWaive assistant is already live, so the role centres on improving quality, coverage, explanations, and user experience in a production setting. The team also operates the serving path and measures adoption, task success, feedback, latency, response cost, and runtime failures. A related Applied AI Engineer role shows the range of production AI work represented in UK opportunities.

Agent Outcomes And Production Delivery

The engineer owns agent outcomes from the initial customer need through delivery and iteration. Production work includes retrieval, multi-step workflows, action-taking, tool and function design, context assembly, and service integration. Semantic-layer and service-API capabilities become agent endpoints and tools that support real customer tasks.

Agent behaviour remains a product concern as well as an engineering concern. The role considers when a system should answer, ask for more information, or refuse, and how it should explain its work. Measurement covers adoption, feedback, intent, task success, decision quality, and customer impact, with findings reported to Product and the wider business.

Evaluation Harnesses And Regression Gates

• Labelled test sets for repeatable agent checks
• Groundedness and hallucination measures
• Regression gates in continuous integration
• Execution tracing and failure diagnosis
• Feedback and intent measures connected to customer impact

Experience with generative-system evaluation, defensible measures, and verification of coding-agent output matches the role's stated technical scope. Strong SQL and metric fluency support the analysis of business data and agent performance.

AWS Runtime And Service APIs

Amazon Bedrock and Bedrock AgentCore are named technologies for the role, while equivalent agent runtimes provide transferable experience. The serving path includes MCP endpoints, latency, response cost, caching, and runtime guardrails. The engineer also drives data or infrastructure changes when existing services limit agent capabilities. Strong Python skills support the implementation work, and hands‑on AWS experience supports deployment and operation. Retrieval over business data requires an explanation of context selection and answer failures, while typed interfaces, tests, and verification harnesses keep changes dependable.

WorkWave's AI And Data Team

WorkWave's AI and Data Analytics team works on AskWaive, an in-product assistant that is already used in the product. The role builds on the company's core data platform while working with Product Managers and engineers across technical and non-technical areas.

The role also includes operating discipline after release. Instrumentation, tracing, caching, runtime cost, and guardrails remain part of the serving work, and the engineer reports measurable findings to the business. Experience in field service, logistics, operational software, observability, semantic layers, or technical leadership is listed as a bonus.

Five or more years building production software or data-intensive systems for customers forms the main experience threshold. A shipped LLM or agent feature, AWS work, and strong communication complete the central profile, while senior or lead engineering experience can extend the role's technical direction.

The successful engineer enters a team where agent quality is tested against labelled evidence and production behaviour. The position combines implementation, measurement, customer impact analysis, and platform operation within a UK remote working arrangement.

The AI jobs category includes roles connected with production AI systems and software delivery. UK AI providers represent the wider professional setting in which this work takes place.