Application Developer

American College of Chest Physicians•Glenview, IL

4d•$95,000 - $105,000•Hybrid

About The Position

This role advances CHEST’s digital ecosystem by developing and integrating features that use large-language-model tooling and automation to improve how content, data, and workflows operate across our platforms. Working with product stakeholders, analysts, and developers, it delivers secure, scalable solutions and prototypes emerging technologies to keep CHEST’s digital products innovative and aligned with our mission. Essential Functions/Responsibilities: Demonstrate a passion for crushing lung disease and embody CHEST values: honor the team, lead with integrity, leverage passion, cultivate innovation, and have serious fun. Collaborate with product owner, developers, testers, UX designer, and analysts in an agile environment to effectively and iteratively build systems, customize applications, and deploy new solutions. Modernize legacy workflows by incorporating automation, intelligent features, and SaaS-based enhancements. Integrate LLM-powered functions into CHEST’s applications and APIs. Prototype and evaluate emerging tools to strengthen CHEST’s digital products. Evaluate and integrate third-party AI solutions when appropriate. Create, enhance, and maintain technical documentation. Participate in code reviews, sprint planning, and other agile ceremonies. Support deployments and occasional off-hours maintenance. Create, enhance, and maintain stable products, and implement efficiencies to reduce?application support costs and technical debt. Assess when to develop in-house solutions versus leveraging third-party services, optimizing for cost, performance, and sustainability. Stay current with advancements in LLM deployment, model serving, and responsible AI practices. Complete other tasks and projects as assigned.

Requirements

Bachelor’s degree in Computer Science, a related field, or equivalent experience
Proficiency in Python and SQL/T-SQL for development and analysis
Experience with C#, .NET, and JavaScript/TypeScript in a production environment
Experience building and maintaining APIs and integrations
Experience (workplace, academic, personal projects, or internships) working with LLMs, generative AI, or related tools
Hands-on work with LLM tools and vector retrieval
Familiarity with CI/CD pipeline tools
Strong analytical skills and the ability to deliver well-architected solutions independently and within teams
Self-motivated, detail-oriented, and capable of quickly learning new tools and environments
Ability to apply modern development methodologies and best practices.

Nice To Haves

Experience in AI deployment or applied Machine Learning
Knowledge of open-source AI agent frameworks
Experience with RAG patterns and model-evaluation
Familiarity with MLOps practices
Experience with automation scripting (e.g., PowerShell or similar)
Experience?with?Agile/SCRUM, JIRA, and Confluence
Experience extending or integrating enterprise SaaS platforms.

Responsibilities

Demonstrate a passion for crushing lung disease and embody CHEST values: honor the team, lead with integrity, leverage passion, cultivate innovation, and have serious fun.
Collaborate with product owner, developers, testers, UX designer, and analysts in an agile environment to effectively and iteratively build systems, customize applications, and deploy new solutions.
Modernize legacy workflows by incorporating automation, intelligent features, and SaaS-based enhancements.
Integrate LLM-powered functions into CHEST’s applications and APIs.
Prototype and evaluate emerging tools to strengthen CHEST’s digital products.
Evaluate and integrate third-party AI solutions when appropriate.
Create, enhance, and maintain technical documentation.
Participate in code reviews, sprint planning, and other agile ceremonies.
Support deployments and occasional off-hours maintenance.
Create, enhance, and maintain stable products, and implement efficiencies to reduce?application support costs and technical debt.
Assess when to develop in-house solutions versus leveraging third-party services, optimizing for cost, performance, and sustainability.
Stay current with advancements in LLM deployment, model serving, and responsible AI practices.
Complete other tasks and projects as assigned.