AI Engineer
Skills
AutomotiveBusinessContextIntelligent AgentsLarge Language ModelsPrompt EngineeringPython
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Strong Python programming skills
- Experience building production AI applications using Large Language Models
- Experience integrating models such as Claude OpenAI or Gemini
- Strong understanding of Retrieval Augmented Generation
- Experience building AI Agents and autonomous workflows
- Experience with LangGraph LangChain or similar orchestration frameworks
- Understanding of Model Context Protocol and AI tool integrations
- Strong prompt engineering skills with structured outputs
- Experience evaluating AI systems and improving response quality
- Strong analytical and problem-solving skills
- Proficiency in Git and version control best practices
- Focus on performance accessibility and user experience
- Strong time management skills and ability to meet deadlines
- Great collaboration skills for cross-departmental projects
Nice to have
- Dynamic
- Passionate
- Professional
- Fast-moving
- Analytical
- Collaborative
Day to day
- Design, build and deploy AI-powered applications and intelligent agents across Bumper and AutoBI.
- Develop Retrieval Augmented Generation solutions using structured and unstructured data to improve insight delivery and automation.
- Integrate, evaluate and optimise large language models, AI workflows and tool-calling systems for production use.