Senior Principal Engineer - AI

Speridian Technologies

82d

About The Position

Speridian Technologies is recruiting for a Senior Principal Engineer - AI for our State of California Client, the Department of Healthcare Services, Behavioral Health. This person will be part of a long-term, fully budgeted, state-of-the-art, extremely vast technical modernization project working with a variety of cross-functional teams and stakeholders. This is a remote role; however, there will be meetings in the Sacramento area several times a year. Candidates are expected to work business hours, Monday-Friday, Pacific Time Zone. Join DHCS’s Behavioral Health Transformation: Where Purpose Meets Innovation. At DHCS we are leading a transformative journey in Behavioral Health, reshaping systems and services to ensure better outcomes for communities across California. Our Behavioral Health transformation initiative is more than a project—it’s a movement to make California a leader in accessible, high-quality health services. We’re setting the stage for a new era of government services built on agile methodologies, cutting-edge technology, continuous improvement, and a relentless commitment to serving the public good. At DHCS, we’re looking for innovators who are passionate about purposeful work and excited by the opportunity to drive lasting change through innovative solutions.

Requirements

• 7+ years of software engineering with 1+ years building production AI/ML systems
• Proven track record of shipping products that either generated $10M+ in value OR became household names for millions of users
• Extensive hands-on coding experience across full stack development
• Experience building developer platforms, APIs, or SDKs
• Experience fine-tuning and deploying large language models in production
• Strong coding skills in Python, Java, TypeScript/JavaScript, and modern frameworks
• Bachelor's degree in Computer Science, Engineering, or equivalent experience

Nice To Haves

• LLM Technologies: GPT-4, Claude, LLaMA, Gemini fine-tuning and deployment
• AI Frameworks: Hugging Face Transformers, LangChain, OpenAI APIs, Anthropic APIs
• Backend Development: Python, FastAPI, C#, microservices architecture, etc
• Frontend Development: React, C#, TypeScript, modern CSS, etc
• Platform Development: API design, SDK development, developer tools
• Databases: SQL, noSQL, document databases, vector databases, data stores, etc
• Cloud Platforms: AWS, GCP, etc
• Infrastructure: Docker, Kubernetes, Terraform, CI/CD pipelines
• Monitoring: Datadog, Weights & Biases, custom observability
• Version Control: Git, GitHub, code review processes

Responsibilities

• Write the APIs, SDKs, and libraries that enable developers to integrate AI
• Build developer tools, debugging interfaces, and observability systems
• Implement platform services for model serving, caching, and rate limiting
• Code the infrastructure and deployment pipelines for multi-tenant AI systems
• Create the systems and mechanisms to accelerate all types of development with AI
• Build complete AI products writing code from backend services to React frontends
• Fine-tune and deploy foundational models (GPT, Claude, LLaMA) for healthcare use cases
• Implement production inference systems, write APIs, and build user interfaces
• Code monitoring systems, A/B testing frameworks, and data pipelines
• Design and code AI architecture patterns used across the organization
• Build MLOps systems for model versioning, deployment, and rollback
• Write infrastructure as code for scalable, multi-tenant AI systems
• Implement cost optimization through code-level improvements
• Partner with teams to identify AI opportunities and build solutions
• Enable other teams through platform development and hands-on assistance
• Mentor senior engineers through code reviews and pair programming
• Translate technical decisions and trade-offs to executive leadership
• Code safety measures and HIPAA compliance into AI systems
• Build explainability features and audit logging systems
• Implement evaluation frameworks for model performance and bias
• Write automated testing for AI safety and compliance

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Bachelor's degree
• Number of Employees: 1,001-5,000 employees