AI Application Developer

Beth Israel Lahey Health

18h

About The Position

When you join the growing BILH team, you're not just taking a job, you’re making a difference in people’s lives. The AI Application Developer is responsible for designing, developing, testing, and supporting modern software solutions that incorporate AI capabilities, cloud technologies, and contemporary web frameworks. This role contributes to building AI-enabled applications, intelligent automation workflows, and modernizing existing systems built on Java, .NET, and cloud-based architectures. The position collaborates closely with senior developers, architects, and cross-functional partners to ensure high-quality, secure, and scalable solutions.

Requirements

Bachelor's degree in computer science, Information Technology, or related field required.
1–3+ years of professional software development experience.
Experience developing cloud enabled or AI-enabled applications.
Practical experience with cloud environments (Azure, AWS, or GCP) including compute, storage, identity, and security basics.
Working knowledge of AI/GenAI integration using cloud AI services or opensource frameworks.
Strong programming skills in one or more: Python, Java, C#, JavaScript/TypeScript.
Understanding secure coding practices, identity management, secrets handling, and cloud security fundamentals.
Ability to troubleshoot across hybrid Windows/Linux environments and cloud integrated systems.
Strong communication, documentation, and problem-solving skills.

Nice To Haves

Exposure to basic cloud concepts (AWS, Azure, or GCP).
Foundational knowledge of AI/GenAI tools, automation, or modern application frameworks.
Familiarity with Git, GitHub, or any version control system.
Basic understanding of Agile development practices.

Responsibilities

Develops AI-enabled application features, APIs, microservices, and automation workflows using Python, Java, .NET, or cloud-native technologies.
Integrates AI/GenAI services from (Azure, AWS, Google, or equivalent) into applications and business workflows.
Supports the development of cloud-native solutions across Azure, AWS, and/or GCP.
Contributes to proof-of-concepts (POCs) exploring new AI models, cloud services, and automation capabilities.
Participates in gathering and refining functional and technical requirements with product, data, and engineering teams.
Writes clean, maintainable code; conducts unit testing; and participates in code reviews.
Troubleshoots and debugs application issues across web, cloud, and AI components.
Assists in maintaining documentation for application components, data flows, and cloud integrations.
Supports deployment, monitoring, and operational activities in collaboration with DevOps and cloud engineering teams.
Follows secure development practices and contributes to consistent, compliant application development standards.