Senior AI/ML Engineer

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., Lang. Chain) 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