Job Overview
- Job Title Senior AI Engineer
- Hiring Organization Lodgify
- Company Website https://www.lodgify.com/careers/
- Remote Locations EMEA
- Job Type Remote, Full-Time
We are looking for a talented Senior AI Python Engineer with previous experience in applying RAG in production and ready to tackle a wide range of challenges.
If you are excited by the prospects of Generative AI (LLMs), ML models and are eager to use them in production to solve real problems this is the position for you.
You will be part of our AI group fully dedicated to leveraging AI in the company and you will be reporting directly to our Chief AI Officer.
If you want to help us make vacation rental work easier with AI, come join us!
Job Responsibilities
- Use AI to benefit our customers by developing new features and enhancing existing ones.
- Write production code that meets our company’s high-quality and maintainability standards.
- Utilize prompt engineering and chaining techniques to optimize and enhance our system’s performance.
- Enhance our LLMOps infrastructure to establish a robust feedback loop with precise metrics, ensuring continuous optimization of each use case.
- Implement RAG in production and fine tune each aspect of the process to keep improving its metrics.
- Work collaboratively with other squads and technical chapters.
- You will be part of a mission driven and motivated Agile team (Scrum/Kanban).
Job Requirements
- You have 5+ years of professional programming experience, with at least 3+ years in the python ecosystem.
- You have professional experience using Generative AI, RAG, and vector databases in production.
- Experience with LLM frameworks (i.e. LangChain, LlamaIndex, Haystack) and advanced knowledge of prompt engineering techniques (e.g., few-shot prompting, chain-of-thought).
- Experience in evaluating LLM-driven applications, including establishing performance metrics, conducting experiments, and tracking results.
- Possess solid foundations and hands-on experience in data science.
- You keep yourself updated on Generative AI and ML technologies and you’re eager to use them to solve real problems.
- You’re well versed in software development best practices, including version control, testing, and continuous integration.
- You’re able to write production level code in Python (SOLID principles).
- Proactive attitude with a drive to challenge assumptions and develop solutions.
- You are a collaborative learner and team player who strives for impact.
How can you earn extra bonus points?
- Experience with Machine Learning Operations (MLOps) (i.e. Arize, Weights & Biases, MLFlow, Neptune)
- End-to-end experience in training, evaluating, testing, and deploying ML solutions in production
- Experience with the Hugging Face libraries
Employee Benefits
- The freedom to work from home any day that works for you.
- Enjoy 25 working days of paid vacation and Jornada Intensiva in August.
- Top-notch Cigna health insurance (includes travel insurance, dental plan, psychologist and we cover pre-existing conditions too).
- Save on meals! Enjoy a monthly allowance of 150€ and, in addition, a Flexible Remuneration plan with up to 70€. Plus, enjoy a 50% discount on Ametller’s prepared dishes to level up your mealtime!
- Flexible Remuneration options for your transportation needs.
- Elevate your workspace. We provide a home-office setup allowance to ensure you have everything you need for a productive and comfortable work environment.
- 🇪🇸 Free Spanish classes.
- Boost your earning potential with our referral program that offers paid compensation.
- Fuel your day with a daily office breakfast buffet and join our monthly events like football tournaments, wine tastings, hikes, kayaking and more!
- Work in a dynamic environment with offices fully equipped for fun with ping pong, foosball, surrounded by an international team of +60 nationalities.
*Benefits offered may differ based on the type of contract that is issued
How To Apply
Click “Apply” below to fill in the application form!
More Information
- Remote Job Location EMEA
- Salary Offer to be discussed
- Experience Level Senior Level
- Education Level Non Specific
- Working Hours full time
- Job Application Via Custom Application Page