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TomTomSoftware Engineer – AI
Software Engineer developing full - stack AI products for TomTom. Building production - ready features and integration systems for AI solutions.
About the role
- Backend Development: Building and maintaining backend services that integrate ML and LLM APIs into production systems
- Prompt Engineering: Designing, testing, and optimizing prompts for LLMs to ensure reliable and accurate outputs for restaurant-specific use cases
- Feature Development: Implementing personalized content generation, intelligent recommendations, and automated user assistance features
- Data-Driven Development: Developing and validating features using data analysis and machine learning techniques
- Data Analysis: Analyzing restaurant operational data to identify optimization opportunities and translate insights into automated solutions
- Cross-functional Partnership: Collaborating with product, operations, and business teams to gather requirements and validate solutions
- Rapid Prototyping: Building proof-of-concepts for quick validation and iterative development
Requirements
- Degree in Computer Science, Statistics, or a related field or equivalent work experience.
- Strong programming skills in Python or TypeScript/JavaScript.
- Backend development experience with RESTful APIs and microservices.
- Experience with LLM APIs (Gemini, Anthropic, or similar).
- Proven ability to work with large, complex datasets.
- Strong understanding of software engineering best practices (version control, code review, testing, CI/CD).
- Excellent communication and stakeholder engagement skills, demonstrating the ability to articulate technical concepts and persuade cross-functional partners on technical direction.
- Quick learning ability and adaptability to new challenges and emerging AI technologies, which is essential for success in this innovative space.
- Nice to have:
- Experience in the restaurant or hospitality industry.
- Prompt engineering and LLM fine-tuning experience.
- Experience with data analysis tools (SQL, pandas, visualisation libraries).
- Experience with cloud platforms (GCP preferred).
- Background in A/B testing frameworks and statistical analysis.
- Understanding of food service operations.
- Experience with data pipeline tools and ETL processes.
- Familiarity with ML frameworks (scikit-learn, TensorFlow, PyTorch).
Benefits
- Invest in Your Growth- We provide a dedicated learning budget to help you expand your skills and knowledge in this dynamic environment.
- Solve Meaningful Challenges- Contribute to tackling some of the most significant challenges in the global tech industry, directly impacting the way businesses operate worldwide.
- Drive Innovation- Immerse yourself in a culture where innovation isn't just a buzzword – our weekly releases and new features ensure you're always working on cutting-edge solutions.
- Collaborate with a Global Team- Be part of a diverse, international team that values transparency, visibility, and a multitude of perspectives.
- Be Part of a Unicorn- Join a rapidly scaling SaaS unicorn at the forefront of the order management industry, where your contributions have significant impact.
- Enjoy Regionally Tailored Rewards- Our compensation and benefits packages are thoughtfully designed to reflect the unique needs of each market, ensuring you’re supported with what matters most—right where you are.
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