eHealth is seeking a Staff AI/ML Engineer to design and build the company's next-generation AI-powered services and intelligent systems, focusing on developing foundational AI/ML services and components for intelligent automation, data processing, and decision-making.
Requirements
- Proven track record of delivering innovative AI/ML solutions across complex systems and enterprise environments.
- Strong experience with Retrieval-Augmented Generation (RAG) architectures and their practical implementation.
- Hands-on expertise in building AI agents using frameworks such as LangChain, AutoGen, and CrewAI.
- Deep knowledge of prompt engineering and optimization strategies for maximizing model performance.
- Extensive experience in training, fine-tuning, and deploying both traditional machine learning models and large language models (LLMs).
- Skilled in working with open-source LLMs (e.g., LLaMA, Mistral, Falcon), including training from scratch and fine-tuning using frameworks like LoRA, QLoRA, and PEFT.
- Proficient in Python and modern ML libraries including TensorFlow, PyTorch, and Hugging Face.
Responsibilities
- Design, develop, and deploy AI/ML solutions for Core Service Engineering initiatives
- Build and optimize RAG (Retrieval-Augmented Generation) systems to enhance our knowledge management and customer service capabilities
- Develop AI agents and implement agent frameworks to automate complex workflows and decision-making processes
- Create and refine prompts for various AI models to ensure optimal performance and accuracy
- Train, fine-tune, and deploy machine learning models for production use cases
- Work with talented team of engineers to deliver top quality AI/ML solutions on challenging projects to delight customers and business stakeholders
- Contribute towards establishing AI/ML development standards & evaluating technology choices
Other
- You are a solution-centric, results-oriented, and experienced AI/ML Engineer.
- You want to "build what's right, not what's easy."
- You will work with other engineers in a collaborative environment to improve the overall quality while achieving timely delivery of projects.
- You are ambitious, talented, and driven to make the team and project successful.
- Collaborate with leaders in Engineering, Product Management, and other teams giving input on what is both intuitive and feasible from an AI/ML perspective.
