Artificial Intelligence (AI) Engineer

We are seeking an AI Software Engineer who is excited about building and integrating advanced AI capabilities into healthcare-oriented applications. This role partners closely with data scientists, engineers, and healthcare experts to create AI-driven solutions that improve outcomes, increase efficiency, and deliver meaningful value to clients and stakeholders.

The ideal candidate combines strong software engineering fundamentals with a working knowledge of artificial intelligence, a curiosity for emerging technologies, and an appreciation for how AI can modernize healthcare business processes.

Key ResponsibilitiesAI Model Implementation & IntegrationDevelop, implement, and integrate pre-trained AI and large language models into production applications using Python or C#, ensuring performance, scalability, and reliability.

Solution Design & CollaborationPartner with data scientists and engineers to design AI-powered solutions aligned with business objectives and client needs.

Cross-Functional EnablementWork with cross-functional stakeholders to seamlessly embed AI capabilities into existing systems, applications, and workflows.

Application DevelopmentDesign, build, maintain, and scale AI-driven applications that improve operational efficiency and deliver measurable business outcomes.

Troubleshooting & OptimizationDiagnose and resolve AI-related issues while optimizing model performance, application stability, and system reliability.

Continuous LearningStay current with evolving AI tools, frameworks, and best practices, applying new insights to enhance existing solutions.

Data Alignment & QualityEnsure strong alignment between AI models and data requirements by collaborating with data teams on pipelines, validation, and quality standards.

Documentation & StandardsMaintain clear documentation and follow best practices in secure software development, responsible AI usage, and ethical considerations.

Required QualificationsBachelor's degree in Computer Science, Engineering, or a related discipline0-2 years of experience in software development with exposure to AI or machine learning applicationsExperience working with foundational model APIs (e.g., OpenAI, Anthropic, Gemini, LLaMA)Proficiency in Python and/or C#Hands-on experience with AI frameworks and tooling such as LangChain, OpenAI SDKs, LlamaIndex, PromptFlow, PyTorch, or similarExperience integrating pre-trained AI models into production applicationsFoundational understanding of machine learning concepts and natural language processingFamiliarity with modern software development practices, version control, and agile methodologiesExposure to cloud platforms (preferably Azure) and large-scale data environments such as data lakes, analytics platforms, or distributed processing systemsStrong analytical and problem-solving skillsEffective communication skills and the ability to collaborate across technical and non-technical teamsKnowledge of healthcare technology and regulatory considerations is a plus