Sr Associate AI Full stack Software Engineer
Role details
Job location
Tech stack
Job description
We are seeking a highly skilled and experienced Sr. Associate AI Full stack Software Engineer to join our innovative team. This role will be responsible for designing, developing, and deploying end-to-end AI-powered software solutions, from front-end user interfaces to back-end services and AI model integration, within the healthcare domain., * Develop and deliver AI-driven enterprise quality software applications.
- Build scalable applications integrating Large Language Models and other AI tools (e.g. voice recognition, document parsing, image parsing, text to speech, RAG) into new and legacy codebases
- Design and optimize data pipelines and datasets for AI system development and testing.
- Communicate modern AI concepts (LLMs, vector databases etc.) to non-technical audiences
- Iteratively craft effective prompts to maximize LLM performance and implement prompt caching strategies
- Maintain prompt libraries & benchmark performance
- Fine-tune & serve GPT-family, Llama
- Develop AI agents Semantic Kernel
- Prototype co-pilot experiences & autonomous workflows
- Fully document all work at both the code level and application level.
- The ability to learn and adapt in a changing environment.
- Collaborate with other staff and outside stakeholders on large projects.
- Must be passionate about creating solutions and solving complex problems.
Requirements
- Minimum 2+ years of experience in Software development.
- B.S. degree in Computer Science or related engineering discipline, or equivalent experience
Critical Skills
- 2+ years of experience developing AI-powered applications using LLMs, voice, image, or speech models
- Experience with AI evaluation metrics (precision, recall, F1, AUC) and MLOps for scalable deployment
- Proven ability to build RAG solutions using LangChain/LlamaIndex and vector databases
- Strong experience with LLM optimization techniques (prompting, caching, cost awareness)
- Proficiency in Python and AI/ML frameworks (OpenAI, TensorFlow, PyTorch)
- Full-stack development experience, including Node.js (Express)
- Experience with cloud platforms (AWS, GCP, or Azure)
- Experience with modern DevOps tools (Git, Docker, Kubernetes)
- Strong analytical/problem-solving skills to derive insights from data
Preferred Skills
- Deep understanding of LLM model landscape (e.g., GPT variants, emerging models)
- Experience with advanced LLM cost optimization techniques (batching, quantization)
- Experience using AI coding assistants (GitHub Copilot, Cursor, Codeium/Windsurf)
- Healthcare domain experience and ability to translate clinical/business needs into AI solutions
- Strong cross-functional communication skills across technical and non-technical stakeholders
Benefits & conditions
We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.
Our Base Pay Range for this position
$86,600 - $144,400
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McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.
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