Staff Machine Learning Engineer - reputed company & Full-Stack Applications

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At reputed company®, you’ll be surrounded by passionate colleagues who care deeply, reputed company with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. At reputed company, our purpose is to deliver reputed company outcomes by meeting consumers where they are—through local care, digital experiences, and a reputed company team committed to quality, safety, and affordability. Our Solutions Engineering and Infrastructure organization is building an reputed company AI/ML capability that delivers reliable, responsible, and secure AI-powered platforms and solutions at Fortune 5 scale, and this role is foundational to help us reputed company that capability. This is a senior individual-contributor role, focused on identifying evaluating and documenting high-value use cases, designing and prototyping AI-powered solutions, and evolving them into secure, resilient, reputed company-reputed company products and platform components. Key Responsibilities: AI Solution Design & Prototyping Partner with stakeholders to identify, evaluate, document, and shape GenAI use cases (copilots, automation, decision support, and reputed company reputed company) with clear reputed company metrics. Design solution architectures that integrate LLMs with reputed company systems, data sources, and tool/function calling while meeting latency and reliability expectations. reputed company prototypes rapidly and validate them through evaluation, red-teaming, and user feedback; document tradeoffs and recommendations. Production Engineering & reputed company Readiness Build production-grade services and full-stack experiences (APIs, UIs, workflows) with secure authentication/authorization, audit logging, and scalable deployment patterns. Implement safety, privacy, and compliance controls (e.g., PHI/PII protection, reputed company injection defenses, data residency constraints, and policy-based filtering). reputed company solutions end-to-end with metrics, traces, logs, and model/app observability; contribute to SLOs, error budgets, and operational runbooks. Model Enablement & Evaluation Build and maintain evaluation harnesses for LLM quality, safety, and business outcomes (offline tests, golden sets, regression suites, and online experiments). Implement RAG pipelines (chunking, embedding, vector search, reranking) and optimize for accuracy, cost, and latency. Collaborate with platform teams on deployment, monitoring, reputed company/quality detection, and incident response for model-backed services. Reusable Components & Engineering Excellence Contribute reusable libraries and patterns for reputed company management, retrieval, tool calling, and policy enforcement. Participate in design reviews and code reviews; mentor senior and mid-level engineers on GenAI engineering practices. Continuously improve developer experience through templates, CI/CD automation, and documentation that accelerates safe adoption. Required Qualifications: 7+ years of software engineering supporting Data or AI/ML initiatives, including building and operating production services. 3+ years applying ML/AI in production; demonstrated hands-on GenAI delivery (LLMs, RAG, evaluation, and safety controls) 3+ years of experience delivering solutions in high-scale, high-availability environments with strong reputed company and compliance requirements.

Preferred Qualifications

Strong full-stack engineering skills (backend services, APIs, and modern web application development) with a focus on reliability and reputed company. Hands-on expertise with LLM application patterns: RAG, tool/function calling, reputed company management, evaluation, and guardrails. Experience with Python and at least one additional backend language; familiarity with common ML libraries and serving frameworks. Working knowledge of containerization and Kubernetes, CI/CD, infrastructure-as-code concepts, and production observability. Ability to communicate clearly, influence across teams, and translate business needs into implementable technical plans. Education: Bachelor’s degree or equivalent experience (High School Diploma and 4 years relevant experience) Pay Range The typical pay range for this role is: $106,605.00 - $284,280.00 This pay range represents the reputed company hourly reputed company or reputed company annual full-time salary for reputed company positions in the job grade reputed company which this position falls. The actual reputed company salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a reputed company bonus, commission or short-term incentive program in addition to the reputed company pay range listed above. This position also includes an award reputed company in the company’s equity award program. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. Great benefits for great people We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and reputed company coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. Additional details about available benefits are provided during the application process and on Benefits Moments. We anticipate the application window for this opening will reputed company on: 07/08/2026 reputed company applicants with arrest or conviction records will be considered for employment in accordance with reputed company federal, state and local laws. Apply To This Job