Design and build an agentic AI platform to manage renewable energy certificates and automate related workflows. Collaborate across teams to integrate the platform, optimize user onboarding, and iterate based on feedback and metrics.
About the role
- Lead Engineer designing, building, and deploying AI-enabled solutions at Bauer Media Outdoor. Collaborating with Product Leads to integrate innovative AI technologies and enhance business operations.
Responsibilities
- Design and build AI enabled applications that address genuine business needs rather than theoretical use cases
- Integrate AI services such as Azure OpenAI and Perplexity AI into production systems
- Develop APIs, backend services, service integrations, automation workflows and data pipelines that enable AI capabilities
- Build and maintain custom AI Assistants for Bauer AI Chat with a focus on security, reliability and user experience
- Partner closely with Product Leads to take ideas from discovery through to delivery
- Translate ambiguous business problems into clear, scalable technical solutions
- Prototype, experiment and iterate quickly based on user feedback and performance data
- Deploy AI driven features into live environments with a focus on speed, quality
- Write clean, well-tested, production ready code and set a high engineering standard
- Own system design, delivery and ongoing evolution end to end
- Resolve complex engineering challenges across performance, scalability and integration
- Build and operate reliable infrastructure using practical DevOps and MLOps practices
- Monitor, optimise and continuously improve AI solutions in production
- Mentor engineers and raise capability across AI solution development, design and delivery
- Communicate technical decisions clearly to non-technical audiences.
- Support adoption and rollout by ensuring robust integrations and smooth user experiences.
Requirements
- 8 + years of professional software engineering experience with strong backend expertise
- Strong proficiency in Python and cloud-native development (Azure preferred).
- Proven experience integrating AI or LLM based services into production systems
- Experience in machine learning or computer vision is beneficial but not essential
- Strong Python skills and experience building cloud native systems, Azure preferred
- Solid understanding of distributed systems, APIs, microservices and secure software design
- Experience with DevOps or MLOps tooling including CI CD, Docker, Kubernetes, monitoring and logging
- Comfortable owning complex technical problems and driving them through to delivery
Benefits
- Hybrid working model with regular office presence to build team culture and relationships.
- 25 paid holidays
- Company Pension Scheme paid up to 8%
- Healthcare Cash Plan
- Life Insurance and group income protection scheme
- Cycle to work scheme
- Enhanced Maternity & Paternity Cover
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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