Software Engineering Team Lead

Software Engineering Tech Lead – AI Systems (Remote / Hybrid)

£100,000 - £130,000 + Package

AI Connect are hiring a Software Engineering Tech Lead to lead the development of next-generation Digital Assistant and AI platforms. You’ll play a key role in shaping scalable, high-performance systems that support customer and colleague experiences across the organisation.

This is a hands-on technical leadership role focused on building resilient, enterprise-grade applications combining modern software engineering practices with emerging AI and conversational technologies.

What You’ll Do

• Design, build, and deploy high-performance, scalable applications and APIs that power digital assistant and AI-driven experiences.
• Lead the development of robust microservices and reusable platform components used across the organisation.
• Contribute to the architecture and delivery of AI-powered and conversational systems, including chat and agent-based workflows.
• Work with teams building LLM-enabled applications, integrating models such as OpenAI, Claude, and Gemini via APIs.
• Drive engineering best practices across scalability, resilience, testing, CI/CD, and system performance.
• Mentor engineering teams and help shape technical strategy across multiple initiatives.
• Collaborate closely with product, platform, and AI teams to deliver secure, enterprise-ready solutions.

Key Skills & Experience

• Strong background in software engineering and architecture, particularly within microservices or SOA environments.
• Proven experience leading software engineering teams and driving technical delivery.
• Strong hands-on development experience with Python or NodeJS.
• Experience designing and building full-stack or API-driven applications, ideally within conversational AI or chat-based environments.
• Experience working with cloud platforms such as AWS and containerised environments.
• Strong understanding of CI/CD pipelines, automated testing, scalability, and high-availability systems.
• Experience building or integrating AI-powered applications, including LLM APIs, agentic workflows, or RAG systems, is highly advantageous.
• Strong understanding of engineering best practices, system design, and performance optimisation.