Description Our enterprise healthcare customer is looking for a midlevel 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 Enterprisegrade 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. Handson 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, GitHub, PRs, code reviews, unit testing. Some exposure to modern DevOps practices. Able to communicate clearly, take direction, and execute reliably. Works well with ambiguity and can selfdirect 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 MedStar 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. Application Deadline This position is anticipated to close on Mar 4, 2026. h4>About TEKsystems: We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services Were a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. Were a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. Were strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. Were building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

The role requires an enterprise-grade Python engineer with experience in building production systems and strong API and cloud engineering skills. Candidates should have hands-on experience integrating AI tools like LLMs and MCP servers into applications. Engineering maturity, including comfort with team workflows like Git, GitHub, PRs, code reviews, and unit testing, is essential. Experience with modern DevOps practices and the ability to communicate clearly, take direction, and execute reliably are also important. The ability to work with ambiguity and self-direct when needed is emphasized, along with a strong engineering background or extensive AI experience.