Join a forward-thinking engineering team focused on transforming healthcare through intelligent automation. As an AI Engineer, you'll design and implement AI-powered services that streamline clinical workflows, enhance data processing, and support real-time decision-making. This role centers on developing production-grade applications using modern AI technologies within secure, cloud-based environments.
What You'll Do
- Develop and deploy AI-driven services using Python and scalable cloud architectures.
- Integrate large language models and AI APIs into distributed systems to enable smart automation.
- Design and maintain microservices and RESTful APIs that support complex data workflows.
- Build data pipelines that handle both structured and unstructured inputs for AI applications.
- Ensure API security and implement event-driven designs for seamless system integration.
- Optimize performance and reliability of AI systems in cloud environments.
- Work closely with product and engineering teams to turn AI concepts into functional solutions.
- Support team goals with flexibility and ownership across the development lifecycle.
What We’re Looking For
- BS in Computer Science, Software Engineering, AI, or related field.
- 3–6 years of software engineering experience; senior roles require 6+ years with AI deployment experience.
- Proficiency in Python for building APIs, microservices, and AI-integrated systems.
- Proven experience integrating LLMs or AI APIs (e.g., OpenAI, Bedrock, Claude) into production.
- Hands-on work with AWS, Azure, or Google Cloud platforms.
- Experience developing REST APIs, distributed systems, and scalable microservices.
- Familiarity with LangChain, Hugging Face, vector databases, or similar AI tools.
- Knowledge of Git, CI/CD, containerization, and DevOps practices.
- Strong problem-solving skills and attention to detail in complex systems.
- Ability to communicate clearly and collaborate across technical teams.
Nice to Have
- Experience with healthcare data standards like FHIR or HL7.
- Background deploying AI in regulated sectors such as healthcare or government.
- Experience with LLM orchestration or agent-based architectures.
- Working knowledge of Docker, Kubernetes, or similar container technologies.
- Prior work with the Department of Veterans Affairs or federal systems.
- Eligibility to obtain U.S. government clearance.
Technology Environment
Python, Large Language Models (LLMs), AI APIs (OpenAI, Bedrock, Claude), AWS, Azure, Google Cloud, REST APIs, Microservices, Distributed Systems, LangChain, Hugging Face, Vector Databases, Git, CI/CD, Containerization, DevOps, Docker, Kubernetes
Work Environment
This role supports remote work within the continental United States. We foster a collaborative, inclusive culture with a focus on building robust, high-quality software solutions. As an equal opportunity employer, we welcome applicants from all backgrounds and experiences.
Benefits
- Medical, dental, and vision coverage
- 401(k) with employer match
- Paid time off and federal holidays
- Corporate-issued laptop
- Access to training and professional development
