3 months ago
Remote, United Kingdom or Leeds, United KingdomSenior
Responsibilities
- Design and develop AI-enabled microservices, APIs, applications, internal tools, and automation workflows.
- Integrate AI capabilities from providers such as OpenAI and Anthropic into secure, scalable engineering systems.
- Enhance Power Automate, n8n, and Workato workflows with intelligent processing and agentic patterns.
- Implement Model Context Protocol servers for secure AI-to-system connectivity.
- Build AI agents and retrieval-augmented workflows with tools, memory, orchestration, context control, and guardrails.
- Lead AI-based document parsing and intelligent data extraction initiatives.
- Implement AI observability practices to monitor model behavior, detect anomalies, and assess performance and reliability.
- Evaluate when deterministic solutions are safer, simpler, or more cost-effective than AI solutions.
- Advise business stakeholders, delivery teams, engineering, testing, architecture, and citizen developers on effective AI adoption.
- Mentor staff, deliver demonstrations, create reference documentation, and develop AI engineering best practices.
- Contribute to AI governance, ethics, compliance, security, data governance, human-in-the-loop controls, and risk mitigation.
Requirements
- At least 5 years of development experience across APIs, integrations, microservices, or full-stack development.
- Degree in Computer Science, IT, Engineering, or a related discipline, or equivalent practical experience.
- Hands-on software development experience with one or more of .NET/C#, Python, or TypeScript.
- Strong understanding of AI, machine learning, LLMs, prompt engineering, embeddings, retrieval-augmented generation, agentic workflows, and context windows.
- Proven ability to integrate AI into both low-code automation flows and high-code applications, APIs, microservices, distributed systems, and development or testing tools.
- Demonstrated real-world portfolio showing applied AI skills, delivered solutions, and measurable impact, including personal or open-source AI projects where applicable.
- Experience integrating AI into workflows and systems across low-code and high-code platforms.
- Hands-on experience with AI coding assistants such as GitHub Copilot or Claude Code and autonomous software engineering agents.
- Exposure to RAG, vector databases, embeddings, AI retrieval systems, cloud AI services, and AI-agent orchestration.
- Exposure to DevOps practices, CI/CD pipelines, infrastructure-as-code, and Azure or AWS in regulated enterprise environments.
- Extensive experience with source control and version management systems.
- Strong understanding of responsible AI, governance, bias mitigation, compliance, and risk-based decision-making.
- Ability to communicate complex AI concepts to technical and non-technical audiences, mentor developers and testers, and collaborate with stakeholders.
- Professional certifications in AI fluency or specialized AI/ML technologies are advantageous.
Tech Stack
Categories
About Waystone
Waystone provides governance, administration, risk, compliance, and management company (ManCo) services to asset managers and institutional investors, including fund structuring under AIFMD and UCITS. Its business model centers on regulated ManCo platforms, corporate administration, and outsourced compliance, complemented by client portals for reporting and oversight. Founded in 2000 and headquartered in Ballsbridge, Dublin, Waystone is privately held and backed by Montagu.