Remote Sr AI Software Engineer

Insight Global; Hartford (CT); Remote; USD 180,000 - 230,000; Full time

Job summary

Insight Global is seeking a Senior AI Software Engineer to lead the design and development of AI-powered capabilities within a Care Connect platform that serves Medicare, Medicaid, and Commercial populations. You will build production-grade AI apps in Python and deploy scalable cloud-native solutions on GCP, including Vertex AI, Pub/Sub, and BigQuery.

The role involves designing AI-enabled services, integrating with healthcare APIs, implementing CI/CD with GitHub Actions, and ensuring secure

Qualifications

• 7+ years of software engineering with 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.

Responsibilities

• Design AI-enabled services and integrate with healthcare APIs and enterprise platforms.
• Collaborate with product, engineering, data, and operations teams to deliver compliant healthcare solutions.
• Implement CI/CD pipelines using GitHub Actions and secure development practices (Snyk).
• Develop and deploy LLM, RAG, NLP, or ML solutions in production.
• Build scalable microservices and API interfaces for care management workflows.

Skills

Python development

AI/ML application development

GCP deployment

CI/CD with GitHub Actions

Microservices & event-driven

Healthcare payer experience

Tools

Vertex AI

Pub/Sub

Cloud Run

BigQuery

GKE

Snyk

Job description

Job Description

We are seeking a Senior AI Software Engineer to lead the design and development of AI-powered capabilities within a Care Connect platform, a strategic care management and member engagement application that supports Medicare, Medicaid, and Commercial populations by connecting care management, clinical, pharmacy, and member engagement workflows. This engineer will build intelligent solutions that leverage Generative AI, NLP, machine learning, and workflow automation to improve care coordination, personalize member interactions, automate the processing of clinical and member data from structured and unstructured sources, and provide decision support for care management teams. The ideal candidate will have extensive hands-on experience developing production-grade AI applications in Python and deploying scalable cloud-native solutions on Google Cloud Platform (GCP), including Pub/Sub, Vertex AI, BigQuery, Cloud Run, and event-driven architectures. Responsibilities include designing AI-enabled services, integrating with healthcare APIs and enterprise platforms, implementing CI/CD pipelines using GitHub Actions, enforcing secure development practices through tools such as Snyk, and collaborating with product, engineering, data, and operational stakeholders to deliver highly available and compliant healthcare solutions. Candidates should have experience building and deploying LLM, RAG, NLP, or machine learning solutions in production environments, along with strong software engineering fundamentals and experience with microservices and API development. Healthcare payer experience is highly preferred, particularly in care management, population health, member engagement, case management, utilization management, Medicare, Medicaid, FHIR, or healthcare interoperability, while experience with Java and Spring Boot is a plus due to integrations with existing enterprise care management services.

Skills and Requirements

• 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

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 employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to 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 the recruiting process, please send a request to [e-mail].