AI Engineer – GenAI Application Development

Cencora • USA > TX > Remote, TX

4d

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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 knowledge alongside AI/software engineering skills.
• Hands-on experience with healthcare distribution data, pharmacy/NDC-level data, or healthcare EMR/EHR systems (HL7, FHIR, claims).

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.

Benefits

• Medical, dental, and vision care
• Comprehensive suite of benefits that focus on the physical, emotional, financial, and social aspects of wellness
• 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
• Variety of training programs
• Professional development resources
• Opportunities to participate in mentorship programs, employee resource groups, volunteer activities, and much more

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level