About The Role New AI Developer

Healthcare client

Prefer Hybrid near Cleveland, OH, but will consider remote

Must be willing to convert perm after 6 month – client will Sponsor – Vendor must be willing to let candidate go without a fee

Pay Rate in the $85 - $90/hr range

Must have’s

Strong RAG

Strong ELT/ETL

Docker, Kubernetes, Terraform

Data Pipelines

Title: AI Developer

Open: 1

Company: Option Care Health

Location: This role can be hybrid in OH or Remote – manager prefers Hybrid if possible

Remote / Hybrid Schedule: 3 day onsite and 2 remote (they can choose which) OR Fully remote

Hours shift On Call Timezone: 8-5 EST hours

Team: Database and Business Analytics

Why Open: Additional need on the team

Exclusive: yes

Duration: 6+ months with possibility to extend or convert (they will sponsor but must be able to convert after 6 months)

Start: ASAP

Position Summary

We are seeking an AI Developer to design, build, and deploy modern AI-enabled solutions that leverage enterprise data across cloud and hybrid environments. This role will focus on developing scalable AI applications, including retrieval-augmented generation (RAG), intelligent data pipelines, vector-based search, and cloud-native ML/AI systems.

The ideal candidate brings a blend of AI engineering, data engineering, and platform expertise, with experience building production-grade solutions using modern cloud, integration, and governance tools.

Key Responsibilities

Design and develop AI-powered applications using modern ML/AI engineering practices, including RAG architectures, vector search, and feature management.

Build and maintain scalable data pipelines to support AI and analytics workloads, including ETL/ELT, streaming, and lakehouse patterns.

Develop and integrate solutions across cloud, hybrid, and legacy enterprise systems, including ERP, mainframe, and CDC-based ecosystems.

Implement and manage vector databases, orchestration frameworks, and feature stores to support production AI use cases.

Partner with platform and infrastructure teams to deploy solutions using containerization, Kubernetes, and infrastructure as code.

Ensure strong data governance, including lineage, cataloging, and access controls for enterprise AI data assets.

Optimize architecture for performance, scalability, and cloud cost efficiency, especially for variable AI workloads.

Collaborate with business, engineering, and architecture stakeholders to translate requirements into practical AI solutions.

Required Qualifications 3+ years of experience in software engineering, data engineering, or AI/ML development

Hands-on experience building AI or data-driven applications in enterprise environments

Strong proficiency in one or more programming languages such as Python, SQL, or Java

Key Responsibilities & Skills

• Retrieval-Augmented Generation (RAG) Development
• ELT / ETL Data Engineering
• Data Pipelines Design & Implementation
• Vector Search & Retrieval
• AI/ML Model Deployment
• Cloud-Native AI Architecture
• Enterprise Data Governance
• Feature Store Management
• Integration with ERP / Mainframe Systems
• CDC (Change Data Capture) Integration
• Performance & Scalability Optimization
• Cloud Cost Efficiency

Technical Skills

• Python
• SQL
• Java
• Docker / Kubernetes / Terraform
• Cloud Platforms (AWS / Azure / GCP)
• Infrastructure as Code (IaC)
• Vector Database (e.g., Pinecone / Milvus)
• CI/CD
• Streaming / Real-time Data Processing
• Lakehouse Architecture
• Data Cataloging Tools

Education

Bachelor’s Degree in Computer Science, Software Engineering, Data Science, Electrical Engineering, Computer Engineering. Preferred: Master’s in Computer Science, Master’s in Data Science, Master’s in Artificial Intelligence, PhD in Machine Learning.

Industry Experience

• Healthcare
• Health Technology
• Enterprise AI
• Cloud Services
• Data Engineering

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