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AI Solutions Engineer

Job in Franklin, Williamson County, Tennessee, 37068, USA
Listing for: GraphiteRx Inc.
Full Time position
Listed on 2026-02-12
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
AI Solutions Engineer – Build AI That Powers the Future of Healthcare About Us

At Graphite Rx, we’re transforming how pharmaceuticals and medical supplies are distributed and making them more accessible, affordable, and intelligent. We're partnering with forward-thinking organizations like the Mark Cuban Cost Plus Drugs Company and top-tier health systems to drive innovation at scale.

Now, we're deepening our investment in AI and we’re looking for an engineer who thrives on solving hard problems, integrating leading-edge tech, and helping shape the future of intelligent systems in healthcare.

The Opportunity

Join us as an AI Solutions Engineer in Nashville, TN, where you'll lead efforts to prototype, build, and deploy intelligent systems, ranging from LLM-powered features to modular AI agents. You’ll help us push the boundaries of what's possible using tools like OpenAI, Claude, and Amazon Bedrock, while mentoring peers and driving real-world outcomes.

What You’ll Do

As part of our fast-moving engineering team, you’ll:

Build Intelligent Features & Assistants:
Use LLMs (OpenAI, Claude, Amazon Nova) to power new user experiences and backend automation, including light-weight AI agents where appropriate.

Prototype AI Workflows:
Rapidly design and test new tools using frameworks like Lang Chain, Auto Gen, or AWS-native services like Bedrock, Agent Core, and Strands Agents.

Mentor and Upskill Teammates:
Share best practices in prompt engineering, tool selection, and integrating AI tools like Git Hub Copilot into daily workflows.

Code with Craft:
Write clean, testable backend code in Type Script and Python, collaborating across product and platform teams.

Operationalize AI Systems:
Deploy and manage AI services using AWS tools: from Sage Maker and Lambda to S3 Vectors and Cloud Watch for observability.

Stay Curious:
Continuously explore new platforms like Amazon Q, Transform, and Kiro, and evaluate emerging technologies that align with our AI vision.

Who You Are

We're open to early-career engineers (1–2 years experience) who show strong fundamentals, hunger to learn, and hands-on exposure to AI tools, as well as mid-level candidates ready to take the lead.

You might be a great fit if you have:

1–2+ years of backend or full-stack software development experience, ideally with exposure to AI tools or LLMs (personal projects, internships, or production work).

Proficiency in Python and/or Type Script, with a clear understanding of clean software practices.

Curiosity and some experience with LLMs, AI platforms (e.g., OpenAI, Claude, Bedrock), or prompt engineering.

A learning mindset and desire to grow—especially in prompt design, agent logic, orchestration, or AWS infrastructure.

Excellent communication skills and the ability to thrive in a collaborative, fast-moving team.

Bonus Points

Experience building or integrating with LLM-based agents, orchestration frameworks, or AWS AI services.

Knowledge of Dev Ops, vector databases, or retrieval pipelines.

Familiarity with Amazon Bedrock, Agent Core, or multi-agent tooling—even through side projects.

Why Graphite Rx?

Shape What’s Next:
Build AI tools that solve critical problems in U.S. healthcare, fast.

Work with the Latest:
From LLMs to agent frameworks to Amazon’s AI stack, we’re always experimenting and adopting what works.

Collaborative, Fast-Paced Culture:
We value autonomy, mentorship, and momentum.

Competitive Package:
Strong compensation, great benefits, and a tight-knit team in the heart of Nashville.

How to Apply

Send your resume and a short note about your experience working with LLMs and building intelligent systems to  . We’d love to hear what excites you most about the intersection of AI and healthcare.

Note:

This is an onsite role in Nashville, TN (Fridays remote). Applicants must be authorized to work in the U.S. We cannot sponsor work visas at this time.

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