Senior Associate AI Full stack Software Engineer

McKesson Corporation

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Columbus, OHAtlanta, GAAlpharetta, GA
Employment
Full-time
Posted
1 day ago
Freshness
Confirmed live today

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How this pay compares to similar roles

Similar $181k
$122k $230k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $142,500–$219,556.

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 137 open roles on FindRole.

Listed pay typically runs $126,000–$210,000 across 77 roles with salary data.

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At a glance

TL;DR · Senior Associate AI Full stack Software Engineer

The Sr Associate AI Full stack Software Engineer joins the CMM team to design, develop, and deploy end-to-end AI-powered solutions for healthcare products and services. This role involves building scalable applications that integrate Large Language Models, voice recognition, document parsing, and RAG systems into new and legacy codebases. Key responsibilities include optimizing data pipelines, crafting effective prompts, fine-tuning GPT-family and Llama models, and developing AI agents or co-pilot experiences. The candidate must utilize Python, Node.js, and libraries like OpenAI, TensorFlow, and PyTorch. Technical requirements include experience with vector databases, LangChain, LlamaIndex, Docker, Kubernetes, and cloud platforms like AWS, GCP, or Azure. The work focuses on translating clinical and business needs into functional AI solutions while managing LLM costs and performance metrics.

What you'll do

  • Develop and deliver enterprise-quality software applications integrated with Large Language Models and other AI tools.
  • Build scalable applications using voice recognition, document parsing, image parsing, and RAG systems.
  • Design and optimize data pipelines and datasets for AI system development and testing.
  • Fine-tune and serve GPT-family and Llama models while implementing prompt caching strategies.
  • Develop AI agents and prototype co-pilot experiences or autonomous workflows.
  • Communicate modern AI concepts and technical requirements to non-technical audiences.
  • Fully document all work at both the code and application levels.

What we're looking for

  • Minimum 2+ years of experience in software development.
  • Minimum 2+ years of experience in developing AI-enhanced applications using LLMs, voice, image, or speech models.
  • B.S. degree in Computer Science or related engineering discipline, or equivalent experience.
  • Proficiency in Python and AI-related libraries such as openai, tensorflow, and pytorch.
  • Proficiency in creating Node.js web apps (e.g., Express.js).
  • Skilled in building RAG systems using LangChain, LlamaIndex, and vector databases.
  • Proficient in AI system evaluation metrics (precision, recall, F1-score, AUC-ROC) and MLOps.
  • Experience with cloud platforms (AWS/GCP/Azure), Git, Docker, and Kubernetes.

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