Senior AI / ML Engineer (LLMs)

About Our Client

The organization operates in the insurance technology sector, using advanced technology to improve the accuracy, fairness, and efficiency of claims handling. Its solutions address complex injury and illness claims by helping affected individuals navigate the claims process with greater dignity and stability. The company is experiencing significant growth and has earned recognition for its workplace culture.

About the Opportunity

The Senior AI / ML Engineer (LLMs) leads the development and deployment of AI and machine learning solutions supporting the organization's medical synthesis product. This role owns technical and architectural decisions across the AI/ML lifecycle, from concept and development through production deployment and optimization. The position plays a key role in improving the accuracy, robustness, and business impact of AI-driven claims processing capabilities.

Responsibilities

• Lead AI/ML projects end-to-end, including ideation, architecture, development, deployment, and optimization.
• Make architectural and technical decisions that balance scalability, performance, reliability, maintainability, and business impact.
• Design and deploy AI-powered features for processing complex medical documents and summarization workflows.
• Develop hybrid machine learning solutions combining statistical models, large language models, and retrieval-augmented generation.
• Write clean, efficient, maintainable code and optimize existing AI/ML systems.
• Collaborate with data labelers and subject matter experts to evaluate and improve model performance.
• Partner with Product, Engineering, and cross-functional teams to define requirements and iteratively develop solutions.
• Provide technical leadership and establish best practices for AI/ML development and implementation.
• Break down complex technical and business problems into actionable solutions.
• Apply emerging AI/ML research and techniques to reliable production systems.
• Evaluate AI model outputs and continuously improve system quality and performance.

Requirements

• 5–8+ years of professional Python development experience using modern software engineering practices.
• At least 1 year of experience developing and deploying products based on large language models.
• Proven experience leading technical projects from concept through production.
• Experience making architectural decisions for AI/ML systems with consideration for scalability, reliability, and maintainability.
• Hands-on experience with statistical machine learning, LLMs, retrieval-augmented generation, embeddings, and vector search.
• Experience building and integrating API services within microservice architectures.
• Strong ability to evaluate AI model outputs and align technical performance with business outcomes.
• Expertise in prompt engineering and fine-tuning LLMs for domain-specific applications.
• Strong written and verbal communication skills with the ability to collaborate effectively across technical and non-technical teams.

Pay

• Base salary range of $200,000–$235,000 annually, with flexibility based on experience.
• Eligibility for an annual bonus plan.
• Company equity in the form of restricted stock units (RSUs).