AI Engineer – GenAI Application Development

🔥 16 hours ago

🤠 Texas – Remote

🤠 Texas – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Cencora

WebsiteLinkedInAll Job Openings

10,000+ employees

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

Cencora is a company dedicated to improving the health and well-being of both people and animals globally. Built on the legacy of AmerisourceBergen, Cencora offers a wide range of industry-leading solutions that encompass specialty logistics, warehousing, drug research, clinical development support, and more. They provide commercialization and patient access support and offer wholesale and specialty distribution services. Cencora serves a diverse clientele, including pharmaceutical companies, physician practices, pharmacies, and health systems. The company also extends its services to animal health, managing operations and delivering products for animal pharmaceutical care. With a strong global footprint, Cencora aims to reshape healthcare delivery through innovative products and solutions, striving to create healthier futures for all.

📋 Description

• Build and deploy LLM-powered applications, RAG pipelines, and AI agents using Python • Implement retrieval-augmented generation systems, including chunking, embeddings, vector search, hybrid retrieval, and re-ranking • Develop AI agents using LangChain, LangGraph, CrewAI, or similar agentic frameworks under architectural guidance • Build and maintain REST APIs with FastAPI or Flask • Take AI solutions from proof-of-concept to production by containerizing, deploying, and monitoring them • Implement LLM evaluation and testing to catch regressions and hallucinations • Apply LLMOps/MLOps practices, including CI/CD pipelines, prompt/version management, automated testing, and monitoring 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

🎯 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 • Experience with LLM evaluation frameworks (Ragas, LangSmith, DeepEval, or custom benchmarks) preferred • Exposure to Kubernetes, CI/CD pipelines, and production monitoring/observability tools preferred • Experience with SQL / NL-to-SQL pipelines or structured-data integration for AI apps preferred • Familiarity with MCP (Model Context Protocol) or building tool-calling agents preferred • Prior experience taking AI features from POC through full production ownership preferred • Healthcare knowledge alongside AI/software engineering skills strongly preferred • Hands-on experience with healthcare distribution data, pharmacy/NDC-level data, or healthcare EMR/EHR systems (HL7, FHIR, claims) is a strong plus

🏖️ Benefits

• Medical, dental, and 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