AI Engineer
Role details
Job location
Tech stack
Job description
- Design and develop AI models and algorithms, including large language models (LLMs), to solve business challenges
- Implement and support retrieval-augmented generation (RAG) pipelines for enhanced information retrieval and response generation
- Build, fine-tune, and deploy models using Hugging Face libraries and tools
- Configure, customize, and optimize GitHub Copilot and Microsoft 365 Copilot to support development and business users (Copilot experience is a strong plus)
- Collaborate with cross-functional teams to integrate AI and Copilot-based solutions into existing systems and processes
- Analyze large datasets to extract actionable insights and improve model performance
- Monitor and maintain AI models and Copilot solutions in production environments
- Document technical solutions, use cases, and best practices, and provide knowledge transfer to team members and end users
- Evaluate and recommend new AI technologies and tools, ensuring compliance with data privacy and security standards, At Amaris, we strive to provide our candidates with the best possible recruitment experience. We like to get to know our candidates, challenge them, and be able to give them proper feedback as quickly as possible. Here's what our recruitment process looks like:
Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you!
Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!
Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.
As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience. We look forward to meeting you!
Requirements
- Bachelor's Degree in Artificial Intelligence, Computer Science, Data Science, or related field
- 1-3 years of experience in an AI Engineer, Machine Learning Engineer, Data Scientist, or similar role (including internships or junior positions)
- Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch)
- Proficient in or familiar with large language models (LLMs) and retrieval-augmented generation (RAG) techniques
- Experience with Hugging Face libraries and model deployment is a plus
- Experience with programming languages such as Python (knowledge of R is a plus)
- Experience with data preprocessing and feature engineering
- Proficient with or strong interest in Generative AI tools
- Experience with GitHub Copilot and/or Microsoft 365 Copilot is a strong plus
- Familiar with cloud platforms (e.g., AWS, Azure, GCP) is a plus
- Good communication in English
- You demonstrate strong problem-solving and communication skills, with a proactive mindset and willingness to learn
Benefits & conditions
- Competitive salary and 13th-month salary
- 14+ annual leaves per year
- Premium healthcare insurance, starting from your probation period
- Project reviews and yearly performance appraisals
- Annual company trip
- Teambuilding activities: Team lunch/dinner, events, and celebrations, sports clubs (football, basketball, badminton, pickleball)
- International team with flexible working time
- Tailor-made career path
- Technical workshops and training courses
- Mobility: Opportunities to be on-site abroad in our offices in over 60+ countries