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AI Application Engineer
Location
United States
Posted
116 days ago
Salary
0
Seniority
Mid Level
Job Description
AI Application Engineer
Rearc
• Collaborate with Colleagues – Work closely with colleagues to understand customers' business objectives and technical challenges, contributing to the design and development of effective GenAI solutions tailored to client needs. • Apply GenAI Principles – Utilize modern tools and frameworks like LangGraph, to build scalable, reliable, and maintainable Compound AI systems. • Leverage your understanding of AI fundamentals to ensure every project meets rigorous industry and ethical standards. • Adapt to the latest Technologies & Patterns – continue to research, learn, and stay abreast of the most recent state of the art for AI application development. • Promote Knowledge Sharing –Bolster our culture of continuous learning by sharing knowledge about AI engineering best practices through blog posts, articles, and internal talks. Support a collaborative environment that fosters shared expertise and ongoing innovation across our community.
Job Requirements
- 2+ years of experience in AI engineering, machine learning (ML), or related fields
- Generative AI (GenAI expertise)
- Strong understanding of state of the art techniques in generative AI, including large language models (LLMs), text generation and other foundation models
- Familiarity with AI orchestration tools (e.g. LangGraph, CrewAI, Bedrock Agents, smolagents, etc)
- Experience in fine-tuning, prompt engineering or otherwise adapting generative models for specific use cases
- Experience with AI model evaluation, including human-in-the-loop and LLM judge paradigms
- Familiarity with NLP libraries and frameworks
- Hands-on experience in implementing Retrieval Augmented Generation (RAG) architectures and integrating retrieval systems with generative models
- Knowledge of at least one vector store or database (e.g. Opensearch, Pinecone, PostgreSQL with pgvector) and techniques for similarity search
- Familiarity with common data ingestion/ETL patterns for populating knowledge bases
- Experience with implementing LLM tool calling (either directly, via an orchestration framework, or using Model Context Protocol (MCP) clients)
- Experience using Amazon Bedrock or Databricks AI for deploying and managing generative AI models
- Ability to integrate Generative AI scripts with other services (such as AWS S3 or Lambda or Databricks Apps) to build scalable and secure AI solutions
- Strong programming skills in Python (or similar languages)
- Familiarity with CI/CD pipelines and MLOps practices to ensure seamless integration, testing and deployment of AI models
Benefits
- Flexible work arrangements
- Professional development opportunities
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Responsibilities - Lead end‑to‑end design and development of WMS solutions and guiding teams through delivery, integration, and operational readiness. - Understand business requirements and partner to achieve scalable solutions with AIMS. - Provide technical guidance and lead medium to high effort enhancement/build projects. - Collaborate with software vendor partners like Witron, AIMS application vendor, and act as a technical SME/liaison by understanding the application architecture, schema and existing or future interfaces, application enhancements and projects. - Plan and address the stability, risk, and recovery concerns of WMS application suite by - Manage priorities between the projects, meet project aligned expectations on scope, quality, schedule, and budget of project. - Act as technical lead/mentor on team to provide skill uplift to junior team members. - Provide hyper care support and build to run transition, lessons learnt documentation for the projects implemented. 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The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate’s geographical location, relevant education, experience and skills and an evaluation of internal pay equity. #LI-Remote Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply. Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law. To read and review this privacy notice click here



