We are looking for an experienced AI Automation Engineer to join a next-generation team focused on building and implementing AI-powered automation solutions.
This is a 6-month contract opportunity, with the role focused on using AI, automation, and agentic technologies to transform complex business processes into scalable, intelligent, secure, and auditable solutions.
Key Responsibilities
- Design, build, test, deploy, and maintain production-grade AI and automation solutions.
- Develop AI-powered and agentic workflows to automate business processes.
- Build LLM orchestration and multi-agent workflows.
- Integrate internal and external systems using APIs, data pipelines, and enterprise platforms.
- Work with Claude/Anthropic APIs, Java/Spring AI, Python, n8n, MCP, or similar technologies.
- Identify opportunities to reduce manual effort and improve operational efficiency through AI automation.
- Ensure solutions are secure, auditable, compliant, and production-ready.
- Implement appropriate human oversight and approval controls where required.
- Follow AI governance, risk, access control, security, and audit requirements.
- Develop reusable AI automation frameworks, workflows, templates, and technical standards.
- Monitor and optimise AI automation solutions to improve performance and business outcomes.
- Work closely with business, technology, infrastructure, compliance, and AI teams.
- Translate business requirements into scalable and practical AI automation solutions.
Requirements
- Hands-on experience developing and deploying production-grade AI and/or agentic automation solutions.
- Strong understanding of LLMs, LLM orchestration, and multi-agent systems.
- Experience with Java/Spring AI and/or Python.
- Experience with n8n or similar workflow automation platforms.
- Experience working with AI APIs such as Anthropic/Claude or similar.
- Knowledge of MCP or similar AI/multi-agent coordination technologies.
- Strong experience with APIs, system integration, data pipelines, and enterprise systems.
- Understanding of AI governance, security, risk, audit, and responsible AI practices.
- Strong problem-solving, communication, and stakeholder management skills.
- Ability to work effectively in a fast-paced and evolving environment.
Key Technologies
The role requires experience with technologies such as Claude/Anthropic APIs, Spring AI, Java, Python, n8n, MCP, Agentic AI, LLMs, Multi-Agent Systems, APIs, Data Pipelines, and AI Automation platforms.
Application Notice
- Should you not receive any feedback within three (3) weeks of submitting your application, please consider your application unsuccessful.