Application Development

• Design and build responsive user-focused front-end experiences using HTML CSS and modern JavaScript frameworks such as React.
• Develop scalable back-end services APIs and microservices.
• Integrate AI/ML features such as predictions recommendations or LLM-driven capabilities into applications.
• Ensure cross-browser compatibility and optimize performance metrics.
• Write server-side logic and manage the engine of the application including building and maintaining APIs.

AI LLM & Data Integration

• Build and maintain data pipelines and transformations using Azure Databricks (PySpark SQL Delta Lake).
• Collaborate with data scientists to deploy and operationalize machine learning models.
• Integrate LLMs (including embedding models prompt-based services or finetuned variants) into products for tasks such as summarization classification retrieval or natural language workflows.
• Implement retrieval-augmented generation (RAG) vector search or other LLM-enhancement patterns.
• Use AI tools to do AI Orchestration such as automate testing and suggest improvements.
• Design efficient data schemas and manage both relational and non-relational databases.
• Perform query optimization indexing and data security as needed.

Cloud & Container Engineering

• Deploy cloud-native applications and services using Azure Kubernetes Service (AKS).
• Implement containerization scaling rules monitoring and automated DevOps workflows.
• Ensure reliability observability and secure configuration of all cloud services.
• Manage deployment pipelines (CI/CD) and hosting applications on Azure platform.

Architecture & Collaboration

• Collaborate on solution architecture and platform design discussions.
• Work closely with product UX data engineers data scientists and architects.
• Provide technical guidance through code reviews and best practices.

Quality Testing & Operations

• Develop automated testing across unit integration functional and performance layers.
• Ensure AI/LLM integrations follow responsible AI and security guidelines.
• Troubleshoot production issues across the full stack.

Qualifications

Required

• Bachelors degree in Computer Science Engineering or equivalent experience.
• 3 years of experience in fullstack development.
• Strong proficiency with:
  • Front-end: React JavaScript/TypeScript
  • Back-end: Python
  • Databases: Databricks PostgreSQL
• Experience with:
  • Azure Kubernetes Service (AKS) or other Kubernetes platforms
  • Databricks (PySpark notebooks Delta Lake data engineering)
  • AI/ML model integration especially using Azure or Databricks
  • LLMs including prompt engineering API integration or embedding/vector search
• Experience with CI/CD pipelines (Azure DevOps GitHub Actions).
• Strong understanding of cloud-native and microservices architectures.

Preferred

• Experience productionizing LLM-based workflows (RAG fine-tuning vector databases).
• Familiarity with Azure AI Services model monitoring or responsible AI practices.
• Knowledge of event-driven architectures (Kafka Event Hubs).
• Experience with Infrastructure-as-Code (Terraform Bicep).
• Knowledge of secure coding cloud governance and data privacy.

.

Core Competencies

• Strong analytical and problemsolving skills.
• Excellent communication and cross-functional collaboration.
• Ability to operate in agile environments.
• Curiosity around emerging technologies specifically GenAI LLMs and cloud platforms.

Tools & Technologies

• Front-end: React Angular Vue
• Back-end: Java
• Cloud & Containers: Azure Kubernetes Service (AKS) Docker
• Data & AI: Databricks Delta Lake MLflow Azure AI Services
• LLM Ecosystem: Prompt engineering embeddings vector stores RAG frameworks
• DevOps: GitHub Actions Azure DevOps
• Databases: PostgreSQL

What Cencora offers

Benefit offerings outside the US may vary by country and will be aligned to local market practice. The eligibility and effective date may differ for some benefits and for team members covered under collective bargaining agreements.

Affiliated Companies

Equal Employment Opportunity

Cencora is committed to providing equal employment opportunity without regard to race color religion sex sexual orientation gender identity genetic information national origin age disability veteran status or membership in any other class protected by federal state or local law.

The companys continued success depends on the full and effective utilization of qualified individuals. Therefore harassment is prohibited and all matters related to recruiting training compensation benefits promotions and transfers comply with equal opportunity principles and are non-discriminatory.

Cencora is committed to providing reasonable accommodations to individuals with disabilities during the employment process which are consistent with legal requirements. If you wish to request an accommodation while seeking employment please call 888.692.2272 or email . We will make accommodation determinations on a request-by-request basis. Messages and emails regarding anything other than accommodations requests will not be returned