AI Engineer

Summary

Join Transmutex to pioneer AI-driven innovations—develop LLM-powered web apps, optimize particle accelerators with ML & RL, and shape the future of nuclear energy with cutting-edge AI solutions.

About us

Transmutex is a Geneva-based start-up founded in 2019. We aim at reinventing nuclear energy by using an accelerator-driven system (ADS) to optimize the transmutation of long-lived nuclear waste. The innovative combination of particle accelerators and fuel, based on existing long-lived radioactive waste, will let us develop energy process that will be intrinsically safe, will reduce the stockpile of long-lived waste, is resistant to proliferation, and will be cost competitive.

Job description

We are looking for an experienced and passionate AI Engineer to join our team and drive the development of cutting-edge AI solutions. This role involves working with Amazon Web Services (AWS), building web applications leveraging Large Language Models (LLMs) and multi-agent AI systems. In addition, the AI Engineer will contribute to cloud computing initiatives focused on scientific computing and high-performance computing (HPC). This includes designing and optimizing scalable cloud-based architectures to support complex computational workloads and accelerate research and development efforts.

Key responsibilities

LLM-Based Web Applications

· Build scalable web apps using LLMs to extract proprietary data

· Create AI multi-agent systems for automated long-form document generation

· Enhance LLMs with advanced reasoning for improved decision-making and accuracy

· Optimize prompts, fine-tuning, and RAG pipelines for better performance

AWS Infrastructure & Security

· Design, deploy, and manage AI/ML workloads on AWS

· Implement IAM policies, access controls, and security best practices

· Optimize AWS resources for cost and performance efficiency

Qualifications and professional achievements

· Minimum Master’s degree in Computer Science in the AI field, Applied Mathematics, Artificial Intelligence, or a related field with 5+ years of experience in developing AI applications

· Experience in:

- LLMs & NLP: Prompt engineering, fine-tuning, RAG, multi-agent AI, LLM reasoning

- Cloud & AWS: EC2, S3, Batch, Bedrock, IAM, Lambda, Cloudformation

- MLOps & Deployment: Docker, MLflow

- Security & Access Management: IAM policies, role-based access controls

· High proficiency in Python, API design

Contract type : Permanent, Full-time

Location : Vernier, Geneva

Conditions : We offer competitive compensation package and social security, accident/disability insurance and pension plans; one day per week from home, as well as five weeks’ annual leave.