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 usTransmutex 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 descriptionWe 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 ApplicationsBuild scalable web apps using LLMs to extract proprietary dataCreate AI multi-agent systems for automated long-form document generationEnhance LLMs with advanced reasoning for improved decision-making and accuracyOptimize prompts, fine-tuning, and RAG pipelines for better performanceAWS Infrastructure & SecurityDesign, deploy, and manage AI/ML workloads on AWSImplement IAM policies, access controls, and security best practicesOptimize AWS resources for cost and performance efficiencyQualifications and professional achievementsMaster’s degree in Computer Science in the AI field, Applied Mathematics, Artificial Intelligence, or a related field 5+ years' experience in developing AI applicationsIn particular: LLMs & NLP:
Prompt engineering, fine-tuning, RAG, multi-agent AI, LLM reasoningCloud & AWS: EC2, S3, Batch, Bedrock, IAM, Lambda, CloudformationMLOps & Deployment: Docker, MLflowSecurity & Access Management: IAM policies, role-based access controlsHigh proficiency in Python, API design 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.
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