Original listing text, shown exactly as published by the company.
Your role at Hostinger
We're looking for an AI Engineer who will have the chance to work with international clients, gaining invaluable international experience. Your technical expertise, problem-solving abilities, and creative mindset will be key in implementing AI-based solutions across our products and making a real impact at Hostinger.
Curious to learn more? Connect with your team: Tomas Rasymas, Head of AI
Your day-to-day
- Enhance products that serve millions of global clients and contribute to the company's exponential growth.
- Create innovations in a company that is betting early on AI.
- Collaborate with product teams to define and refine new prototypes and functionalities.
- Stay updated with the latest developments in LLM (Large Language Models) and AI technologies, integrating them into our products as necessary.
- Prototype new features and products using Generative AI.
- Make prototypes that quickly prove the feasibility of solutions, using commercially available APIs and/or local Generative AI models.
- Optimize prototypical solutions by getting them production-ready through prompt engineering, fine-tuning, etc.
- Contribute to our company's goal of becoming a leading AI adoption company in the hosting market.
Your skills and experience
- Proven expertise in implementing Generative AI techniques, including prompt engineering, model fine-tuning, and embeddings for commercial use.
- Experience with commercially available APIs (e.g., Google, Azure, OpenAI) for text/image generation, embeddings, function calling, fine-tuning, etc., and proficiency in fine-tuning prompts for high-quality outcomes.
- Proficiency in deploying and optimizing open-source Generative AI models (e.g., LLaMA, Mistral), along with familiarity with related toolchains (e.g., Ollam, LangChain).
- High curiosity to stay up to date with the state of the art of the fast-moving AI field.
- Strong skills in Python programming.
- At least 1-2 years of experience in LLM-related projects.
- Capable of developing robust RESTful APIs and containerizing applications with Docker.
- Knowledgeable in Linux and DevOps methodologies, including the use of Git, Jira, and Docker.
