Senior AI/ML Engineer

Job description

We are seeking a Senior AI/ML 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