Senior AI Engineer

Posted 15 Days Ago
Be an Early Applicant
Remote
3-5 Years Experience
Software
The Role
The Senior AI Engineer will develop and enhance AI features for the vacation rental platform, focusing on implementing RAG, optimizing LLMOps infrastructure, and writing production-level Python code. The role requires collaboration with teams to drive AI initiatives that improve the customer experience.
Summary Generated by Built In

Who we are


Lodgify is not just any startup, we're a fast-growing company leading the vacation rental industry with our innovative software. And we raised $30M to do exactly that!


Our platform empowers property owners and managers to efficiently manage and market their rental businesses online. We are an international team of more than 350 people and over 60 different nationalities, founded in the heart of sunny Barcelona. 


 Role Overview


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!

⭐ How will you make an impact?

  • 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).

⭐ What makes you a great fit?

  • 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

Why you’ll love us:

You’ll be part of a growing, dynamic company with a truly international team. At Lodgify, we are full of contagious energy, hard work, and passion for what we do. We celebrate diversity and are proud to acknowledge a variety of backgrounds, perspectives and skills in our team; committed to creating a workplace where everyone is heard and feels a sense of belonging.


What's in it for you?*


🏠 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


So, what are you waiting for? Apply now!

All applications and CVs must be submitted in English 😉



Top Skills

Python
The Company
Barcelona, Barcelona
290 Employees
On-site Workplace
Year Founded: 2012

What We Do

Lodgify is a constantly growing tech start-up, focused on building vacation rental software that enables vacation rental owners to independently manage and market their business online. We do so by providing them with easy-to-build websites, including a booking and reservation system, various synchronisation options, and payment collection options. We are +300 Lodgifiers strong, and you can find us working in Barcelona and all around the world! We are working in a hybrid mode and provide our team members with an option to work from home and spend additional time with their family, friends and pets. With nearly 50 nationalities, we celebrate diversity daily! With 43% of female and 57% of male employees we are striving to establish a gender balance. Actions are continuously taken to include more women in our Tech teams.

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