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Cornerstone OnDemand, a leading workforce intelligence platform, is seeking a Senior AI Engineer to build AI-native products within the Workforce AI product line. This role is for an engineer who designs systems with artificial intelligence at the core—not as an add-on—owning architecture, prompt engineering, model integration, and production-scale delivery.
You will design and implement AI-first architectures where machine learning and generative AI are foundational system components. You'll build and productionize ML and Generative AI workflows, including prompt engineering, retrieval-augmented generation (RAG), evaluation, and iteration. Your responsibilities include developing end-to-end AI features from data ingestion and feature engineering to inference and feedback loops, partnering with Product and UX teams to shape AI-driven user experiences that prioritize usability, explainability, and trust.
In prompt engineering, you'll design, develop, and optimize prompt strategies for large language models to ensure accuracy, consistency, and relevance in production use cases. You'll implement prompt versioning, experimentation, and A/B testing to support rapid iteration and data-driven improvements. You'll continuously evaluate and refine prompts using offline evaluation, automated testing, and live telemetry to reduce hallucinations and improve output quality, while optimizing prompt and model usage to balance response quality, latency, and cost efficiency at scale.
On the engineering platform side, you'll develop scalable backend services using Java and/or Python deployed in AWS cloud environments. You'll design and optimize API-driven architectures that integrate AI services securely and reliably across the platform, work with SQL and NoSQL databases to support transactional and analytical workloads, and apply strong engineering fundamentals around performance, reliability, observability, and security.
You'll provide technical leadership in AI and system design discussions, mentor engineers, and help raise the overall AI and engineering maturity of the team. You'll collaborate cross-functionally with Data Science, Platform, UX, DevOps, and Security teams, and influence technical roadmaps to align AI capabilities with Workforce AI product goals.
Required: 8–10 years of professional software engineering experience, strong hands-on experience with Java and/or Python, proven experience delivering AI/ML or Generative AI systems in production, hands-on expertise in prompt engineering and optimization for LLM-powered applications, solid AWS and cloud-native system design experience, and strong working knowledge of SQL and NoSQL databases.
Preferred: Experience with LLMs, RAG architectures, vector databases, structured output enforcement, MLOps practices, designing AI-powered user experiences with UX teams, enterprise SaaS or workforce/HR technology background, and taking AI products from concept to production.
