Staff AI - ML Engineer - Remote Eligible

Join Us In Creating A Better Way!

At eHealth, our mission is to expertly guide consumers through their health insurance and related options when, where, and how they prefer. We're creating a better way – one that's transparent and trustworthy for both our consumers externally and our employees internally.

Move your career forward while connecting countless people to the life-changing, quality care they deserve. Our diverse team of innovators supports one another in solving some of the toughest challenges. We're always on the lookout for creative opportunities to do right by our customers, and each other. Together, we're creating a better way to work, united by our common passion to make a difference.

We are seeking a Staff AI/ML Engineer to join the Core Service Engineering team at eHealth. This role will help design and build the company's next-generation AI-powered services and intelligent systems. The Core Service Engineering team develops foundational AI/ML services and components that power intelligent automation, data processing, and decision-making capabilities across our platform.

How You Will Make An Impact:

You have proven industry experience in AI/ML system design and development. 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.

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
• Collaborate with leaders in Engineering, Product Management, and other teams giving input on what is both intuitive and feasible from an AI/ML perspective
• Contribute towards establishing AI/ML development standards & evaluating technology choices
• Work in an environment where we move quickly, are always learning, and enjoy a challenge
• Demonstrate eHealth's values in your behaviors, practices, and decisions

Basic Qualifications

• BS/MS in Computer Science, Machine Learning, AI, or similar field
• 8+ years of working experience in software development with at least 4+ years focused on AI/ML

Preferred Qualifications:

• 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.
• Experienced in deploying ML models at scale using microservices architecture and MLOps best practices for versioning, monitoring, and automation.
• Strong background in database technologies, including SQL, NoSQL, and vector databases for embedding and retrieval tasks.
• Familiar with cloud platforms such as AWS and GCP, with hands-on experience using services like SageMaker, Bedrock, and Vertex AI.
• Skilled in developing real-time ML pipelines using tools like Apache Kafka.
• Collaborative experience working with product managers to define AI/ML features and break them down into actionable engineering tasks.
• Proven ability to coordinate across multiple engineering teams and geographies to deliver high-quality projects on schedule.
• Strong coding skills and experience in collaborative development environments, including code reviews and mentoring.
• Capable of identifying project risks and proposing effective mitigation strategies.
• Adept at integrating AI tools into the software development lifecycle to enhance productivity and innovation.
• Experience modernizing legacy systems through AI/ML-driven approaches.
• Contributions to open-source AI/ML projects and/or published research in the field.
• Experience building and deploying custom LLM solutions, including multi-modal AI systems.
• Knowledgeable in responsible AI practices, including bias detection and mitigation.

What We Offer:

• Generous benefits include medical, dental and vision beginning on your first day of employment
• 401K with matching
• Tuition reimbursement
• Employee stock purchase program
• 12 company paid holidays and flexible time off (PTO for non-exempt)

Our Values: At eHealth, our core Values guide our work:

• One Team
• Customer Centric
• Innovation
• Integrity
• Quality
• Accountability
• Relentless
• Financial Stewardship

*Please note the above is a summary of responsibilities; a full job description is available upon request.

Application deadline: September 29, 2025.

The base pay range reflects the anticipated pay range for this position. The actual base pay offered will depend on various factors including individual skills, experience, performance, qualifications, the department budget, and the location where work is performed. Base pay is one component of eHealth's total rewards package, which also includes an annual performance bonus, plus an array of benefits designed to support employees' personal and professional wellness. For more information on our total rewards offerings, please visit our career site.

eHealth is an Equal Employment Opportunity employer. It is our policy to provide equal opportunity to all employees and applicants and to prohibit any discrimination because of race, color, religion, sex, national origin, age, marital status, sexual orientation, genetic information, disability, protected veteran status, or any other consideration made unlawful by applicable federal, state or local laws. The foundation of these policies is our commitment to treat everyone fairly and equally and to have a bias-free work environment.