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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Application Developer - **Company:** Beth Israel Lahey Health - **Location:** United States - **Experience:** Expert - **Salary:** $118,000.0 - $160,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), .NET Framework, Microsoft Windows, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Component-Based Software Engineering, Automation of Tests, Microsoft Azure, Cloud Computing, Cloud Computing Security, Cloud Engineering, Software Quality, Code Review, Information Systems, Computer Programming, Continuous Delivery, Continuous Integration, Data as a Services, Information Engineering, Software Debugging, Linux, DevOps, Home Automation, Identity and Access Management, Key Management, Linux System Administration, Machine Learning, Microsoft Software, Performance Tuning, Reliability Engineering, Cloud Services, Secure Coding, Server Administration, Software Deployment, Software Engineering, Software Systems, Systems Integration, Web Application Frameworks, Automated Data Processing (ADP), Google Cloud, Cloud Platform System, Large Language Models, Reliability of Systems, HybridCloud, AWS ECS, Git, AI Platforms, Git Flow, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Deployment Automation, Data Management, Virtual Agents, Api Design, Microservices - **Published:** August 5, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-ai-application-developer--45cd08fd-c03c-4bf3-9dc9-f6d28c3c9116 ## About the Role Bachelor's degree in computer science, Information Technology, or related field ., 5+ years of relevant professional experience in software engineering or related technical fields. 3-5+ years of hands-on software development experience, including building cloud-native and AI-enabled applications. 1+ years of technical leadership experience, such a s mentoring developers, leading small project teams, or guiding architecture decisions. Skills, Knowledge & Abilities: Strong hands-on experience designing, building, and deploying applications in cloud environments (AWS, Azure, or GCP), including computing, storage, networking, identity, and security services. Practical expertise integrating or developing AI/GenAI solutions, including use of cloud AI services, LLM-based capabilities, AI agents, or machine learning assisted features. Advanced programming and systems skills, with experience building APIs, automation workflows, microservices, and high-performance application components. Deep understanding of secure by design and cloud security best practices, including identity management, encryption, secrets management, and compliance considerations. Operational leadership experience, including monitoring, observability, incident response, performance tuning, and reliability engineering for cloud and AI-enabled applications. Strong familiarity with DevOps and platform engineering practices, such as Git workflows, CI/CD pipelines, infrastructure as code, automated testing, and container orchestration. Experience working across hybrid Windows and Linux environments, including automated deployments, system troubleshooting, and cloud-integrated operations. Preferred Qualifications & Skills: Knowledge with Microsoft Power Platform, Azure DevOps, and AWS Bedrock for building, integrating, and automating cloud-based and AI-enabled solutions. Knowledge of containerization and orchestration technologies such as AWS ECS and Kubernetes. Knowledge of deploying, monitoring, and operating AI applications in production environments., Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Automation, Best Practices, Calendar Management, Cloud Applications, Cloud Architecture, Cloud Computing, Code Reviews, Computer Science, Continuous Deployment/Delivery, Continuous Improvement, Continuous Integration, Cross-Functional, Cryptography, Debugging Skills, DevOps, Functional Testing, GCP (Good Clinical Practices), Git, Healthcare, Home Automation, Hybrid Cloud, Identify Issues, Identity Data Management, Incident Response, Information Technology & Information Systems, Leadership, Linux Operating System, Machine Learning, Mentoring, Microservices, Microsoft Product Family, Microsoft Windows Azure, Microsoft Windows Operating System, Nursing, On Call, Performance Tuning/Optimization, Product Engineering, Production Systems, Proof of Concept, Reliability Engineering, Software Administration, Software Development, Software Engineering, Systems Reliability, Team Lead/Manager, Technical Leadership, Test Automation, Test Plan/Schedule, Time Management, Web Application Framework ## Description The Senior AI Application Developer is responsible for designing, developing, testing, and supporting modern software solutions that leverage AI, web, mobile, and distributed microservices technologies, as well as cloud platforms. This role focuses on building advanced AI-enabled applications, intelligent agents, automated data processing workflows, and maintaining or modernizing legacy applications built in Java and .NET. The role also requires providing effective peer support, mentorship, and collaboration across development teams to troubleshoot complex issues and promote best practices in AI application development., 1. Leverages expertise in AI application development, cloud-native architectures, modern web frameworks, and secure development practices to deliver scalable, reliable, and secure enterprise solutions. 2. Designs, develops, and integrates AI-enabled applications, cloud-based APIs, microservices, automation workflows, and data services across hybrid and cloud-native environments (Azure, AWS and GCP). 3. Leads the design and implementation of proof-of-concepts (POCs) to evaluate emerging AI models, cloud services, and automation technologies, providing recommendations that guide technology adoption and architecture decisions. 4. Collaborates with cross-functional teams including product, data engineering, cloud engineering, and clinical/operational stakeholders to design and deliver cloud native, AI-augmented application features aligned with business goals. 5. Participates in gathering, analyzing, refining, and validating technical and functional requirements, ensuring alignment between business objectives, technical feasibility, and AI responsible use principles. 6. Creates development estimates, plans, and schedules to support predictable delivery and meet project deadlines. 7. Troubleshoots and debugs modern web, cloud, and AI-enabled applications; ensure code quality; and maintain clear, up-to-date documentation for application, data, and cloud components. 8. Provides mentorship and technical guidance to junior developers, promoting strong engineering practices in AI agent integration, cloud services, microservice architecture, and application development. 9. Collaborates in code reviews and architecture discussions to ensure solutions are secure, scalable, and operationally reliable 10. Provides operational and on-call support for critical applications, ensuring system reliability, monitoring, incident response, and continuous improvement across AI and cloud workloads. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [AI Driven Development](https://www.wearedevelopers.com/videos/100340-ai-driven-development) - [AI Killed DevOps... What Now? - Lee Faus](https://www.wearedevelopers.com/videos/1759-ai-killed-devops-what-now-lee-faus) - [#90DaysOfDevOps - The DevOps Learning Journey](https://www.wearedevelopers.com/videos/548-90daysofdevops-the-devops-learning-journey) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? 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