Senior ML Engineer (GenAI, LLM)

We are seeking a Senior Generative AI Application Engineer who will be responsible for designing, implementing, and optimizing generative AI solutions for applications.

Responsibilities

• Design applications utilizing large language models (LLMs) and generative AI technologies
• Implement prompt engineering strategies and Retrieval-Augmented Generation (RAG) architectures
• Build frameworks to evaluate model performance, safety, and alignment
• Create interfaces between generative AI models and production systems
• Develop mechanisms for responsible AI and guardrails for deployment
• Stay updated on advancements in generative AI research and best practices

Requirements

• Background in developing applications with generative AI models
• Expertise in prompt engineering and RAG architecture
• Proficiency in Python, with added value for experience in asynchronous applications
• Knowledge of modern AI/ML frameworks (e.g., LangChain)
• Familiarity with vector databases and embedding models
• Understanding of responsible AI practices and mitigation strategies for hallucinations
• Competency in working with cloud-based AI services (e.g., OpenAI API, Azure AI)

Nice to have

• Background in developing solutions for specific industries such as life sciences, finance, or insurance
• Familiarity with LLM tracing, evaluation datasets, and experiment management
• Understanding of techniques for evaluating RAG systems or other LLM architectures
• Skills in automated prompt optimization tools (e.g., dspy)
• Expertise in creating rapid prototypes