AI Engineer – GenAI Application Development

MWI Buying Group; Town of Texas, Northern (WI, KY); Hybrid; USD 120,000 - 190,000; Full time

Benefits offered by this job

Medical

Dental

Vision care

Backup dependent care

Adoption assistance

Infertility coverage

Family building support

Behavioral health solutions

Paid parental leave

Paid caregiver leave

Training programs

Professional development resources

Mentorship programs

Employee resource groups

Volunteer activities

Job summary

Cencora is seeking an AI Engineer to build and ship GenAI applications, from LLM-powered features to production-grade AI agents. You’ll work with the AI Architect and product stakeholders to translate designs into reliable, tested software.

You will develop RAG pipelines, embeddings, and vector search, deploy via Docker, and maintain production-grade AI systems across cloud platforms. This role emphasizes practical software engineering and fast delivery.

Qualifications

• Bachelor's degree in CS/AI/ML or equivalent experience.
• 5+ years of software engineering with 2+ years in GenAI/LLM applications.
• Strong Python and solid software fundamentals.

Responsibilities

• Build and deploy LLM-powered apps, RAG pipelines, and AI agents.
• Develop REST APIs; containerize via Docker and deploy.
• Take AI solutions from proof-of-concept to production; monitor.

Skills

Python

GenAI / LLM

REST APIs

Docker

Kubernetes

LangChain

LangGraph

CrewAI

Vector databases

Cloud platforms

Education

Bachelor's degree in CS/AI/ML

Tools

Pinecone

Weaviate

FAISS

ChromaDB

pgvector

Docker

Kubernetes

FastAPI

Flask

Azure

OpenAI

Anthropic Claude

Job description

About the Role

We are seeking a hands-on AI Engineer to build and ship Generative AI applications - from LLM-powered features and RAG pipelines to production-grade AI agents. This is an engineering-focused role centered on writing high-quality software, building AI apps end-to-end, and deploying them reliably to production. You will work closely with the AI Architect and product stakeholders to turn architectural designs into working, tested, deployed systems.

Key Responsibilities

• Build and deploy LLM-powered applications, RAG pipelines, and AI agents using Python.
• Implement retrieval-augmented generation systems: chunking, embeddings, vector search, hybrid retrieval, and re-ranking.
• Develop AI agents using agentic frameworks (LangChain, LangGraph, CrewAI) under architectural guidance.
• Build and maintain REST APIs (FastAPI or Flask) that expose AI functionality to applications and services.
• Take AI solutions from proof-of-concept to production: containerize (Docker), deploy, and monitor.
• Implement LLM evaluation and testing (Ragas, LangSmith, or custom eval harnesses) to catch regressions and hallucinations.
• Apply LLMOps/MLOps practices: CI/CD pipelines, prompt/version management, automated testing, and monitoring of latency, cost, and quality.
• Write clean, maintainable, well-tested software following solid engineering fundamentals.
• Collaborate with architects, engineers, and product owners to translate designs into working software.

Our Tech Stack

Databricks - Unity Catalog, Delta Lake, Databricks Apps, and Databricks AI Gateway for model routing and governance. Microsoft Azure, including Azure AI Foundry for model deployment and orchestration. Multi-LLM provider access - Anthropic Claude, OpenAI (GPT & Codex), and other foundation models. ployment.

Required Qualifications

• Bachelor's degree in Computer Science, AI/ML, or a related field (or equivalent practical experience).
• 5+ years of software engineering experience, including 2+ years hands-on with GenAI / LLM-based applications.
• Strong Python programming skills and solid software engineering fundamentals.
• Practical experience building RAG pipelines: embeddings, vector databases (Pinecone, Weaviate, FAISS, ChromaDB, pgvector), and prompt engineering.
• Experience with at least one agentic / orchestration framework (LangChain, LangGraph, CrewAI, or similar).
• Experience building and deploying REST APIs (FastAPI or Flask).
• Familiarity with containerization and deployment (Docker; basic Kubernetes a plus).
• Working knowledge of at least one cloud platform (Azure, AWS, or GCP) for AI workload deployment.
• Comfortable working in fast-paced environments and shipping iteratively.

Preferred Qualifications

• Experience with LLM evaluation frameworks (Ragas, LangSmith, DeepEval, or custom benchmarks).
• Exposure to Kubernetes, CI/CD pipelines, and production monitoring/observability tools.
• Experience with SQL / NL-to-SQL pipelines or structured-data integration for AI apps.
• Familiarity with MCP (Model Context Protocol) or building tool-calling agents.
• Prior experience taking AI features from POC through full production ownership.

HEALTHCARE DOMAIN PREFERENCE

We strongly prefer candidates who bring healthcare knowledge alongside their AI/software engineering skills. Our AI applications run on healthcare distribution and specialty pharmacy data - hands-on experience with healthcare distribution data, pharmacy/NDC-level data, or healthcare EMR/EHR systems (HL7, FHIR, claims) is a strong plus.

What Cencora offers

We provide compensation, benefits, and resources that enable a highly inclusive culture and support our team members' ability to live with purpose every day.

In addition to traditional offerings like medical, dental, and vision care, we also provide a comprehensive suite of benefits that focus on the physical, emotional, financial, and social aspects of wellness. This encompasses support for working families, which may include backup dependent care, adoption assistance, infertility coverage, family building support, behavioral health solutions, paid parental leave, and paid caregiver leave.

• medical
• dental
• vision care
• backup dependent care
• adoption assistance
• infertility coverage
• family building support
• behavioral health solutions
• paid parental leave
• paid caregiver leave

To encourage your personal growth, we also offer a variety of training programs, professional development resources, and opportunities to participate in mentorship programs, employee resource groups, volunteer activities, and much more.

• training programs
• professional development resources
• mentorship programs
• employee resource groups
• volunteer activities
• much more

For details, visit https://www.virtualfairhub.com/cencora

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 company's 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.

If you wish to request an accommodation while seeking employment, please call 888.692.2272 or email [e-mail]. We will make accommodation determinations on a request-by-request basis. Messages and emails regarding anything other than accommodations requests will not be returned.

Affiliated Companies

Affiliated Companies: International Oncology Network Solutions Inc Cencora is a leading global pharmaceutical solutions company that is committed to improving the lives of people and animals everywhere. We connect manufacturers, providers, and patients to ensure that anyone can get the therapies they need, where and when they need them. We're a purpose-driven organization, where all of our team members around the world are united in our responsibility to create healthier futures. We work together every day to help our partners bring their innovations to patients worldwide, creating unparalleled access and impact at the center of health.