Software Engineer - AI developing solutions for the restaurant industry, enhancing operations through AI-driven optimization.
Responsibilities
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.
Tech Lead leading technical team in developing innovative applications for Porto Bank's digital services. Focusing on high scalability and cloud - native solutions within AWS environment.
Senior Software Engineer designing scalable backend services for financial solutions at DailyPay. Leading architectural evolution and mentoring engineers while ensuring high - quality backend operations.
Software Engineer Intern at FireMon designing and building user - friendly firewall management solutions. Collaborating across agile teams to enhance security operations and customer value.
RevOps Engineer creating operational systems for NHS growth team. Managing CRM and data infrastructure for efficient lead generation and sales processes with a high degree of ownership.
Senior Integrations Engineer designing and building healthcare data integrations for a tech startup. Working closely with health system customers to enhance integration capabilities while ensuring quality and security.
Software Engineer developing backend services for Trustpilot's fraud detection systems. Building scalable enforcement pipelines and maintaining internal tools in a hybrid work environment.
Software Engineer I at Trustpilot working on backend services for fraud detection systems. Integrating detection models and maintaining internal tools within a hybrid team.
Software Engineer building backend services for Trustpilot's fraud detection systems. Responsible for integrating models and maintaining internal tools while collaborating with a new team.
Linux & Kubernetes Administrator managing on - premise AI hardware and Linux server infrastructures at Fronius. Supporting Data Scientists and Engineers in maintaining Kubernetes and Docker environments.
Alternant Ingénieur en informatique au sein de Thales, participant à des projets inédits en services numériques. Formation pratique et académique dédiée à l'IT et à l’ingénierie.