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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Remote Sr AI Software Engineer - **Company:** Insight Global - **Location:** Hartford, CT, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Cloud Engineering, Continuous Integration, Data Mining, Decision Support Systems, Github, JSON, Python (Programming Language), Machine Learning, Azure Machine Learning, Secure Coding, Software Engineering, Systems Integration, Google Cloud, Spring-boot, Event Driven Architecture, Machine Learning Operations, Vulnerability Analysis, Microservices - **Published:** September 24, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3402990419&tx=FK2926FFP&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role 7+ years of software engineering experience with at least 2-3 years focused on AI/ML application development Strong Python development experience building production AI solutions Experience deploying AI/ML workloads on GCP (Vertex AI, Pub/Sub, Cloud Run, GKE, or related services) Hands-on CI/CD experience using GitHub Actions and GitHub-based development workflows Experience designing data extraction, document processing, and JSON transformation pipelines Knowledge of security scanning and secure SDLC practices, including tools such as Snyk Experience building scalable microservices and event-driven architectures Healthcare payer experience with Grievances & Appeals, Medicare, Medicaid, or Commercial health plans ## Description We are seeking a Senior AI Software Engineer to lead the design and development of a Grievances & Appeals platform supporting Medicare, Medicaid, and Commercial healthcare operations. They are looking to integrate AI into this new platform buildout. This engineer will be responsible for building intelligent solutions that automate the intake and processing of appeals and grievance forms by extracting data from multiple sources, transforming unstructured content into structured JSON formats, and leveraging AI/ML models to streamline workflow automation and decision support. The ideal candidate will possess strong hands-on experience developing production-grade AI applications in Python, with expertise across the full software development lifecycle including CI/CD, model deployment, and cloud-native architectures. This role requires experience building and deploying AI solutions on Google Cloud Platform (GCP), including services such as Pub/Sub, cloud-based AI/ML services, and scalable event-driven architectures. The engineer will also be responsible for implementing secure development practices, integrating security scanning tools such as Snyk, and collaborating with cross-functional teams to ensure reliable, compliant, and highly available solutions. Experience with GitHub Actions, GitHub-based CI/CD pipelines, and modern software engineering best practices is required. Healthcare domain experience, particularly within Grievances & Appeals, Medicare, Medicaid, claims, or utilization management processes, is highly preferred. Exposure to Java and Spring Boot is a plus, as portions of the platform integrate with existing enterprise services. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. ## Related Videos - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) - [Introducing JSON Structure](https://www.wearedevelopers.com/videos/100219-introducing-json-structure) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [Got AI ideas but no money? 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