AI Engineer

Description

Our enterprise healthcare customer is looking for a mid‑level AI Engineer - not a data scientist and not just a general software engineer - but someone who sits squarely at the intersection of AI tooling and real software engineering.

Core Requirements

Enterprise‑grade Python engineer

Someone who has built real production systems, not hobby projects.

Strong API & cloud engineering skills

Experience with FastAPI, OpenAPI, API patterns, authentication, and PaaS services.

Hands‑on AI tooling experience

Not just "played with LLMs," but has actually integrated AI tools (LLMs, MCP servers, etc.) into real applications.

Engineering Maturity

Comfortable with team engineering workflows:
Git, Git Hub, PRs, code reviews, unit testing.

Some exposure to modern Dev Ops practices.

Able to communicate clearly, take direction, and execute reliably.

Works well with ambiguity and can self‑direct when needed.

They are emphasizing a great engineer or extensive AI experience. The ability to deliver, collaborate, and adapt is key.

Designs develops and maintains scalable secure and high-performance software applications that drive real-world impact in healthcare while maintaining the highest standards of security and compliance.

Collaborates with data scientists clinicians researchers and engineers to develop and integrate AI-driven products that improve patient outcomes and operational efficiency

Develops AI models at scale ensuring performance accuracy and integration with existing systems.

Develops APIs to make AI capabilities accessible across the organization.

Deploys monitors and fine-tunes ML and LLM models in production leveraging best practices in MLOps and cloud computing.

Actively participates in code reviews and collaborative problem-solving with teammates to foster a culture of innovation and technical excellence.

Builds and maintains data pipelines ensuring data quality integrity reliability and compliance with healthcare standards.

Evaluates third-party AI solutions to identify those that complement internal capabilities and meet Med Star Health's strategic objectives and collaborates with vendors and internal stakeholders to integrate these solutions.

Stays at the forefront of AI innovation continuously learning and applying the latest advancements in AI/ML software development and regulatory compliance.

Skills

Python, api development, Machine learning, react

Top Skills Details

Python,api development,Machine learning

Additional

Skills & Qualifications

Ideally this person is coming from a healthcare Environment Mainly, working in a regulated environment like finance, healthcare, they have strict guidelines which is what this role will entail, understanding those parameters and guardrails. It would also be ideal for this person to come from a heavy Azure Environment

Salary during conversion would be around 150k.

Preferably this person lives in MD, VA or DC., so they can occasionally join the team in person.

Experience Level

Intermediate Level

Job Type & Location

This is a Contract to Hire position based out of Washington D.C., DC.

Pay and Benefits

The pay range for this position is $78.00 - $85.00/hr.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:

- Medical, dental & vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life & AD&D for the employee and dependents) - Short and long-term disability - Health Spending Account (HSA) - Transportation benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type

This is a fully remote position.

Final date to receive applications

This position is anticipated to close on Mar 4, 2026.

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