Machine Learning Contract Jobs in Riverside, CA (NOW HIRING)

We’re on a mission to fix dental software - and we’re not playing small. Our platform replaces clunky, outdated systems with modern, cloud-based, AI-powered technology built to actually work at scale. From practice management to imaging to revenue cycle automation, we’re tearing down the old infrastructure and rebuilding the future of dentistry. Planet DDS is the fastest-growing provider of dental practice management solutions and the #1 cloud platform for DSOs and multi-location groups.

Here, you won’t just join a team - you’ll join a movement. We want bold thinkers who are ambitious enough to push limits, empathetic enough to work as one, and accountable enough to own big outcomes. Trust is our currency, collaboration is our edge, and impact is our fuel. If you’re ready to grow fast, challenge the status quo, and help reinvent an entire industry, Planet DDS is where you belong.

To learn more, visit: Planet DDS.

Overview

Planet DDS is building a centralized intelligence layer focused on transforming how our internal teams operate through agentic workflows. We are looking for a Sr. Enterprise Agentic AI Engineer to design, build, and operate agentic AI workflows that streamline internal operations at scale. You will architect and implement multi‑agent systems, integrate with enterprise platforms, ensure reliability and guardrails, and deliver measurable business outcomes.

This role is ideal for a senior, self-directed engineer who enjoys operating with autonomy, translating business problems into technical solutions, and owning work end-to-end, from idea through production and adoption.

Job Duties

• Design, build, and scale production-grade agentic workflows that observe operational signals, reason across data, and take or recommend actions such as alerts, task creation, and decision support.
• Implement multi‑agent patterns (planner/worker, toolformer, delegate/reviewer) with deterministic and human‑in‑the‑loop controls.
• Architect an agentic intelligence layer atop the enterprise data lakehouse.
• Own the AI execution layer, including prompt architecture, orchestration, evaluation, monitoring, logging, and tool creation including but not limited to MCP.
• Translate business needs and operational challenges into clear technical approaches and delivery plans, resulting in scalable, reusable AI solutions.
• Partner closely with data engineering to define AI-ready schemas and data contracts.
• Instrument workflows with tracing, cost/perf dashboards, evaluation harnesses (automated + human), and drift monitoring.
• Ensure AI systems are secure, governed, auditable, and reliable.
• Drive solutions from concept to production without heavy process or handoffs.

Skills and Qualifications

• 5-7 years of experience in software engineering or applied machine learning.
• 2+ years building production deployments of agentic AI systems (tool‑using LLMs or multi‑agent workflows) with measurable business outcomes
• Demonstrated experience productionizing AI or LLM-based systems.
• Proficiency in Python/TypeScript and building API‑first services with CI/CD.
• Hands-on experience with prompt engineering, evaluation, and optimization.
• Working knowledge of enterprise lakehouse architectures, including Delta Lake, medallion patterns, streaming ingestion, governance (Unity Catalog), and designing data layers that support high‑performance AI/agentic workflows.
• Proven ability to integrate Azure OpenAI or similar LLM platforms into orchestrated workflows.
• Experience designing and orchestrating multi-step, event-driven workflows using modern cloud-native services for serverless execution, workflow orchestration, messaging, and event-driven architecture.
• Experience designing and deploying cloud-native AI workflows in Microsoft Azure.
• Demonstrated ability to implement guardrails, output validation, and human‑in‑the‑loop patterns in production.
• Strong understanding of secure system connectivity in Azure, including identity, secrets management, and access control.
• Familiarity with AI cost optimization strategies.
• Proven ability to operate independently and drive work end-to-end.
• Experience in B2B SaaS or operational technology environments.

Benefits:

• Medical, dental and vision insurance
• Health Savings Account
• Flexible Spending Accounts
• Telehealth
• 401(k) and 401(k) match
• Life and AD&D insurance
• Short-Term and Long-Term Disability
• FTO or Vacation
• Sick Time
• Employee Well-Being program
• 11 paid holidays
• Volunteer Time Off
• Employee Referral program
• Additional perk and voluntary benefit programs

Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. This position is also eligible for variable pay as part of the total compensation package.

PLANET DDS CORE IDEOLOGY:

To encourage measurable progress toward our vision and make the best decisions on behalf of employees and customers, we adopted a set of common values:

• Collaborative – Working independently and across teams, we create scalable solutions to enable company growth
• Empathetic – We are educated on the experience of our customers and feel vested in their success
• Accountable – We feel ownership for the quality of our work and take pride in the positive outcomes
• Trustworthy – We operate with integrity and honest, making promises we know that we can keep
• Ambitious – We are driven by our ability to make a long-term, positive impact on the lives of dental market leaders

Planet DDS is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable law.