Staff Machine Learning Engineer – Generative AI, Full-Stack Applications

Job not on LinkedIn

🔥 13 minutes ago

🌽 Illinois – Remote

🌽 Illinois – Remote

💵 $106.6k - $284.3k / year

⏰ Full Time

🔴 Lead

💻 Application Engineer

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CVS Health

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1963

⚕️ Healthcare Insurance

🛒 Retail

🧘 Wellness

Healthcare Insurance • Retail • Wellness

CVS Health is a leading American healthcare company dedicated to improving health access and affordability. The company focuses on a comprehensive approach that includes health services, health insurance, and pharmacy benefits management. Through its subsidiaries, such as Aetna and CVS Caremark, CVS Health offers a range of services that facilitate wellness, condition management, and affordable prescription drug coverage. CVS Health operates neighborhood pharmacies, provides mail-order pharmacy services, and manages specialty medication programs, aiming to make healthcare convenient and accessible for everyone. Driven by a mission to connect people with essential care services, CVS Health is committed to fostering healthier communities and supporting the wellbeing of all individuals.

📋 Description

• Partner with stakeholders to identify, evaluate, document, and shape GenAI use cases (copilots, automation, decision support, and insight generation) with clear success metrics. • Design solution architectures that integrate LLMs with enterprise systems, data sources, and tool/function calling while meeting latency and reliability expectations. • Develop prototypes rapidly and validate them through evaluation, red-teaming, and user feedback; document tradeoffs and recommendations. • 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, prompt injection defenses, data residency constraints, and policy-based filtering). • Instrument solutions end-to-end with metrics, traces, logs, and model/app observability; contribute to SLOs, error budgets, and operational runbooks. • 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, drift/quality detection, and incident response for model-backed services. • Contribute reusable libraries and patterns for prompt 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.

🎯 Requirements

• 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 security and compliance requirements. • Strong full-stack engineering skills (backend services, APIs, and modern web application development) with a focus on reliability and security. • Hands-on expertise with LLM application patterns: RAG, tool/function calling, prompt 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.

🏖️ Benefits

• medical, dental, and vision coverage • paid time off • retirement savings options • wellness programs • comprehensive benefits package designed to support physical, emotional, and financial well-being