Software implementation engineer (ai & agentic workflows)
Our client is looking for a Software Implementation Engineer who is passionate about Artificial Intelligence, enterprise integrations, and automation. This is an exciting opportunity to join a fast-growing team at the forefront of AI innovation, where you'll design and deploy intelligent AI agents that automate business processes and deliver measurable value to enterprise clients. If you enjoy solving complex technical challenges while working closely with clients, this role offers the opportunity to make a real impact from day one.
Key Responsibilities Design and implement autonomous AI agent workflows for enterprise clients. Architect multi-step AI-driven processes that automate customer engagement and operational tasks. Integrate AI solutions with CRMs, payment gateways, communication platforms, and other enterprise systems. Build event-driven workflows using RESTful APIs, webhooks, and automation tools. Gather business requirements and translate them into scalable technical solutions. Develop testing strategies to ensure AI workflows are reliable, secure, and production-ready. Monitor solution performance and optimise workflows based on analytics and business outcomes. Collaborate with internal teams and client stakeholders throughout the implementation lifecycle. Requirements Bachelor's degree in Computer Science, Engineering, or a related technical field. Minimum of 2 years' experience in software implementation, integrations, or a similar engineering role. Practical experience working with Large Language Models (LLMs), AI agents, or intelligent automation. Understanding of Retrieval-Augmented Generation (RAG) and Voice Agents. Strong REST API and webhook integration skills. Experience with Python and advanced Excel for data transformation and mapping. Familiarity with CRM platforms and messaging APIs. Strong communication and stakeholder engagement skills. Excellent analytical and problem-solving abilities. Advantageous Experience implementing AI workflows within contact centre environments. Exposure to Open AI, Google Gemini, Eleven Labs, n8n, serverless functions, or similar technologies. Knowledge of cloud infrastructure, vector databases, and event-driven architectures.