What are the responsibilities and job description for the Senior AI ML Engineer position at ChatGPT Jobs?
Job Description
Senior AI ML Engineer Hybrid in MN or Remote
UnitedHealth Group
Eden Prairie, MN
Job Description:
Optum is focused on improving health outcomes on a global scale by connecting people with care, pharmacy benefits, data, and resources.
Responsibilities:
Senior AI ML Engineer Hybrid in MN or Remote
UnitedHealth Group
Eden Prairie, MN
Job Description:
Optum is focused on improving health outcomes on a global scale by connecting people with care, pharmacy benefits, data, and resources.
Responsibilities:
- Design, develop, and maintain AI agent-based automation for developer workflows.
- Build backend services and agents in C#/.NET for autonomous action execution.
- Integrate AI agents with GitHub Apps and GitHub Actions to automate developer workflows.
- Provision and manage infrastructure in Azure using Terraform; deploy and operate Kubernetes clusters (AKS) and containerized services with Docker.
- Implement OpenAI-based capabilities, including prompt design, guardrails, cost controls, and monitoring.
- Design and implement Retrieval-Augmented Generation (RAG) pipelines using Elasticsearch.
- Lead AI model training activities, including data collection/labeling, fine-tuning or adaptation, versioning, evaluation, and integration with OpenAI or Azure OpenAI services.
- Drive observability and reliability for automation using tools like Prometheus, Grafana, and Application Insights; implement alerting and SLIs.
- Ensure security and compliance in automation.
- Collaborate with product, platform, and developer experience teams to translate requests into technical designs; contribute to architectural decisions and maintain comprehensive documentation.
- Deliver internal demos, provide technical leadership, perform code reviews, and mentor junior engineers.
- Stay current with AI/ML trends and cloud-native technologies.
- Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience).
- 3 years of professional software development experience with Java or Python or C# or JavaScript or C.
- 2 years of experience with Azure or AWS or GCP and Terraform for cloud infrastructure provisioning.
- 2 years of experience with Kubernetes and Docker.
- Experience with relational databases, including SQL Server or PostgreSQL, plus Elasticsearch for search/indexing.
- Experience with OpenAI or similar LLM APIs.
- Experience with AI model training pipelines.
- Knowledge of security best practices for cloud-native apps, secrets management, and data privacy.
- Certification in cloud or container technologies (e.g., Azure: AZ-204/AZ-400, Kubernetes CKAs/CKADs, Terraform Associate).
- Experience with Azure OpenAI Service or other OpenAI alternatives.
- Experience with observability and SRE practices, including distributed tracing and incident response.
- Experience contributing to developer tools or developer experience products.
- Git / GitHub / GitHub Apps experience.
- Proven excellent problem-solving, communication, and collaboration skills.
Salary : $89,900 - $160,600