AI Full Stack Engineer

McKesson Corporation

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Columbus, OHAtlanta, GAAlpharetta, GA
Salary
$110,300–$183,800 / yr
Posted
8 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $179k
This role $147k
$97k most similar roles pay here $235k

This role pays less than 76% of similar roles. Most pay $147,237–$211,200 — the shaded band above. At the midpoint, this role pays about $147k versus about $179k for comparable roles.

Based on 240 similar postings.

Employer

About McKesson Corporation

McKesson Corporation is a premier American healthcare services company that distributes pharmaceuticals, medical-surgical supplies, and provides technology to the healthcare industry.

McKesson Corporation currently has 59 open roles on FindRole.

Listed pay typically runs $120,000–$200,000 across 59 roles with salary data.

Most-posted roles

View all roles at McKesson Corporation

At a glance

TL;DR · AI Full Stack Engineer

As an AI full stack Engineer at CMM, you will design, develop, and deploy end-to-end AI-powered solutions to enhance healthcare products and services. You will build scalable applications integrating Large Language Models, voice recognition, document parsing, and RAG systems into both new and legacy codebases. Your daily work involves optimizing data pipelines, crafting effective prompts with caching strategies, fine-tuning GPT and Llama models, and developing AI agents using Semantic Kernel to create autonomous workflows. The role requires proficiency in Python, PyTorch, TensorFlow, and LangChain or LlamaIndex, alongside experience with vector databases and MLOps for cost-efficient deployment. You will also utilize tools like Git, Docker, Kubernetes, and Node.js. This position focuses on solving complex technical challenges by translating clinical and business needs into functional AI solutions within the healthcare domain.

What you'll do

  • Develop and deliver enterprise-quality software applications powered by AI technologies.
  • Build scalable systems integrating Large Language Models, voice recognition, and document parsing into existing codebases.
  • Design and optimize data pipelines and datasets for AI system development and testing.
  • Craft effective prompts and implement caching strategies to maximize LLM performance.
  • Fine-tune and serve GPT-family and Llama models while managing costs through quantization and batching.
  • Develop AI agents, autonomous workflows, and prototype co-pilot experiences using Semantic Kernel.
  • Build RAG systems from scratch using vector databases and frameworks like LangChain or LlamaIndex.
  • Document all work at both the code level and application level for technical and non-technical audiences.

What we're looking for

  • Minimum 4 years of experience in software development.
  • B.S. degree in Computer Science or a related engineering discipline, or equivalent experience.
  • Minimum 4 years of experience developing AI-enhanced applications using LLMs, voice, image, or speech models.
  • Proficiency in Python and AI libraries such as openai, tensorflow, and pytorch.
  • Proficiency in MLOps for scalable deployment and evaluation metrics like precision, recall, F1-score, and AUC-ROC.
  • Skilled in building RAG systems using LangChain, LlamaIndex, or vector databases.
  • Expertise in LLM cost optimization through prompt caching, batching, and quantization.
  • Experience with Node.js, cloud platforms (AWS/GCP/Azure), Git, Docker, and Kubernetes (preferred); healthcare domain expertise (preferred).

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