AI Implementation Engineer – Healthcare Tech

XiFin Pharmacy Solutions; Charleston (SC); On-site; USD 120,000 - 165,000; Full time

Benefits offered by this job

Comprehensive health benefits

401(k) with company match

Health Savings Account (HSA) with会社Con

Wellness incentives

Tuition assistance

Flexible time off

Social and fun events

Job summary

XiFin Pharmacy Solutions seeks an AI Developer to design and build AI-powered solutions that streamline customer onboarding, go-live support, and data conversion. You will collaborate with Implementations, Engineering, QA, and DevOps to create intelligent tools and automate processes for production-ready solutions.

The role emphasizes experimenting with new AI technologies, evaluating platforms, and integrating AI capabilities across onboarding and testing workflows.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• Minimum of 4 years of AI Development experience
• Strong Python development experience; additional coding language experience preferred.
• Experience building applications using Large Language Models (LLMs), generative AI, or agentic AI workflows.
• Experience with AI platforms such as AWS Bedrock, Anthropic Claude, OpenAI, or similar technologies.
• Experience designing and consuming REST APIs, distributed systems, and cloud-native applications on AWS
• Experience with Git, CI/CD pipelines, Docker, Kubernetes, and modern DevOps practices
• Experience with automated testing frameworks such as Playwright or similar tools
• Understanding of prompt engineering, LLM evaluation, regression testing, and AI system monitoring
• Experience developing internal engineering tools or developer platforms
• Experience with RAG, vector databases, or AI knowledge management technologies is preferred
• Experience working with customer data conversion, data migration, or implementation/onboarding tooling is a plus.
• Healthcare, life sciences, or other regulated industry experience is beneficial but not required.

Responsibilities

• Develop AI-powered applications, agents, and automation that improve implementation and software development workflows.
• Identify and execute automation opportunities that streamline manual implementation processes end to end.
• Use analytical tools and LLMs to process raw customer data and generate updated customer data - including conversion files - for new installations.
• Use AI tools to automate testing of new customer data in preproduction environments ahead of go-live.
• Leverage LLMs to understand and compare like-customer setups across specialties (e.g., AP, Radiology) to accelerate configuration and conversion decisions.
• Build and enhance intelligent testing solutions that integrate with CI/CD pipelines and improve software quality.
• Design, implement, and support AI-assisted developer and implementation tools using technologies such as Claude Code and AWS Bedrock.
• Evaluate emerging AI technologies and prototype new capabilities that improve engineering and implementation productivity.
• Develop scalable services, APIs, and platform components that support Implementations and Engineering teams across the organization.
• Partner with Implementations, Software Engineering, QA, and DevOps to identify opportunities for automation and process improvement.
• Monitor solution performance and continuously optimize AI systems for reliability, accuracy, and scalability.

Skills

Python development

AI/LLMs

REST APIs

CI/CD

Docker

Kubernetes

DevOps practices

Playwright (testing)

Prompt engineering

Data conversion / onboarding tooling

Education

Bachelor's degree in Computer Science or related field

Tools

AWS Bedrock

Anthropic Claude

OpenAI

Job description

XiFin Pharmacy Solutions seeks an AI Developer to design and build AI-powered solutions that streamline customer onboarding, go-live support, and data conversion. You will collaborate with Implementations, Engineering, QA, and DevOps to create intelligent tools and automate processes for production-ready solutions.

The role emphasizes experimenting with new AI technologies, evaluating platforms, and integrating AI capabilities across onboarding and testing workflows.