TSystems is at the forefront of AI innovation delivering advanced solutions across industries such as automotive healthcare and public transportation. Our AI team develops technologies that enhance efficiency and create value for internal projects and clients. We foster a collaborative environment where creativity and expertise thrive.
About the Role
We are looking for an AI/LLM Engineer to join our AI Foundation Services team. In this role you will develop secure and compliant AI solutions focusing on:
- Large Language Models (LLMs)
- RetrievalAugmented Generation (RAG)
- Custom AI solutions for industries like healthcare public sector and automotive
You will help shape TSystems AI products to meet the security and regulatory needs of European enterprises with a focus on practical scalable solutions.
Responsibilities
- Design develop and implement AI systems particularly focusing on LLMs.
- Integrate AI solutions into existing systems and processes.
- Conduct research to explore new techniques and technologies in AI and machine learning.
- Analyze large datasets to identify trends and insights for model development.
- Monitor and improve model performance to ensure accuracy and efficiency.
- Communicate technical concepts effectively to both technical and nontechnical stakeholders.
Why Join Us
Work on innovative projects with real impact across industries.
Collaborative and growthoriented work environment.
Application Process
If your profile fits we will proceed with the following interview steps:
Initial call with a recruiter.
Technical interview with senior ML engineers.
Behavioral interview with the hiring manager.
Final meeting with the target team.
Qualifications :
Qualifications
- Degree in Computer Science Machine Learning or a related field.
- Strong problemsolving skills and attention to detail.
- Proficiency in Python and strong programming skills.
- Experience with LLMs and AI frameworks: Transformers PyTorch TensorFlow.
- Experience with RAG frameworks: LlamaIndex LangChain.
- Ability to integrate AI systems with APIs lowlatency backends and production deployment.
- Ability to quickly grasp new AI concepts conduct experiments and propose system improvements.
- Excellent English communication skills (both written and verbal).
Preferred Skills
- Experience with distributed HPC clusters: Ray Kubernetes Docker.
- Experience in finetuning LLMs and embeddings for specific tasks.
- Experience in developing and evaluating RAG systems.
Additional Information :
What do we offer you
- International positive dynamic and motivated work environment.
- Hybrid work model (telecommuting/onsite).
- Flexible schedule.
- Continuous training: Certification preparation access to Coursera weekly English and German classes...
- Flexible compensation plan: medical insurance restaurant tickets day care transportation allowances...
- Life and accident insurance.
- More than 26 working days of vacation per year.
- Social fund.
- Free service in specialists (doctors physiotherapists nutritionists psychologists lawyers....
- 100 of salary in case of medical leave.
And many more advantages of being part of TSystems!
If you are looking for a new challenge do not hesitate to send us your CV! Please send CV in English. Join our team!
TSystems Iberia will only process the CVs of candidates who meet the requirements specified for each offer.
Remote Work :
Yes
Employment Type :
Fulltime