Glue Reply is recruiting an AI Engineering Lead to set the technical direction for AI within Glue. You will own the vision, standards, and delivery of production-grade AI solutions for our clients. This hands-on leadership role involves architecting, building, and shipping scalable AI systems while leading the establishment of our growing AI capability.
What You'll Do
- Lead the design and implementation of advanced AI solutions, including LLMs, agentic systems, and retrieval-augmented pipelines.
- Design, deploy, and optimise scalable AI workloads on cloud platforms ensuring high availability, performance, and reliability.
- Define and enforce architectural standards, design patterns, and best practices for scalable AI engineering.
- Build and optimise MLOps pipelines, CI/CD workflows, and infrastructure-as-code for production ML systems.
- Ensure reliability, observability, monitoring, and performance optimisation across all deployed AI systems.
- Drive applied research and experimentation to explore emerging AI architectures, techniques, and frameworks.
- Provide technical leadership, mentorship, and guidance to the AI engineering team fostering technical growth and a culture of collaboration.
- Identify and champion opportunities for AI adoption across the organisation.
- Evaluate emerging AI technologies, frameworks, and architectures to maintain technical leadership.
What We're Looking For
- Strong software engineering capability with 3+ years’ hands-on development experience (Python preferred).
- Proven track record designing, building, testing, and deploying production-grade AI/ML services.
- Hands-on LLM application development experience, including designing and shipping solutions using RAG and/or agentic patterns, LLM orchestration frameworks, vector search, and robust API integrations.
- Proven track record of working with major cloud platforms, deploying and managing AI workloads in production environments.
- Solid understanding of DevOps/MLOps practices, including CI/CD, containerisation, and orchestration using tools such as Docker and Kubernetes.
- Experience in leading and mentoring small-to-medium engineering teams, effectively balancing technical delivery with team development.
- Strong problem-solving and system design skills, with experience architecting scalable and distributed AI systems.
- A ‘make it happen’ attitude that is outcome focused and collaborative by nature.
Technical Stack
- Python
- LLMs
- RAG
- Agentic patterns
- Vector search
- Docker
- Kubernetes
- Cloud platforms
Team & Environment
You will lead the establishment of our growing AI capability within Glue.
Reply is an Equal Opportunities Employer and committed to embracing diversity in the workplace. We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type regardless of age, sexual orientation, gender, identity, pregnancy, religion, nationality, ethnic origin, disability, medical history, skin colour, marital status or parental status or any other characteristic protected by the Law.
