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# AI Engineer

- **Company:** CVS Health
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $79,310 - $158,620
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Data Cleansing, Python (Programming Language), Machine Learning, Open Source Technology, Standard Sql, Search Technologies, Software Engineering, Systems Integration, Cloud Platform System, Pytorch, Retrieval-Augmented Generation, Transfer Learning, Large Language Models, Prompt Engineering, Model Validation, Software Application Programming, Git, Build Management, Scikit Learn, HuggingFace, Machine Learning Operations, Evaluation of Large Language Models, Restful APIs, VLLM, Docker
- **Published:** November 14, 2026
- **Apply:** https://dejobs.org/x/x/D4D49D35BCB94AF8B7F6F4E1453DF6AC/job/

## About the Role

* 3+ years of professional experience in software engineering, ML engineering or a related technical role
 * Strong Python skills and experience with ML libraries such as PyTorch, Hugging Face Transformers or scikit-learn
 * Hands-on experience building applications with LLM APIs and frameworks, including RAG and vector search
 * Experience building and integrating REST APIs, with working knowledge of SQL, Git and Docker

Preferred Qualifications

 * Experience deploying and monitoring models on a cloud platform (AWS, GCP or Azure)
 * Experience fine-tuning models with techniques such as LoRA or PEFT
 * Familiarity with model serving and MLOps tools (e.g., vLLM, MLflow, Weights & Biases)
 * Experience building LLM evaluation frameworks, guardrails or agent/tool-use workflows
 * Understanding of responsible AI principles, including bias, safety and data privacy
 * Contributions to open-source AI projects or a portfolio of personal projects, * Bachelor's degree or equivalent experience (Highschool diploma plus 4 years relevant work experience)

## Description

We're hiring an AI Engineer to design, build and deploy AI-powered features. You'll work closely with senior engineers, data scientists and product teams on production systems that use large language models (LLMs), retrieval-augmented generation (RAG) and machine learning (ML) pipelines. The work covers prompt engineering, model evaluation, data preparation and integrating models into scalable services through APIs. It's a hands-on role with strong mentorship, suited to someone who has shipped real software and wants to grow in applied AI.