AI Engineer

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Cadence Solutions

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2013

💼 Consulting

🏢 Enterprise

🤝 B2B

Consulting • Enterprise • B2B

Cadence Solutions is a system integrator and consulting firm focused on information management and digital transformation. They accelerate enterprise adoption of Microsoft 365, SharePoint (including SharePoint Online and Server migrations), Microsoft Purview, the Power Platform, and OpenText. Cadence offers SharePoint implementations, large-scale content migrations (including a migration solution called Peregrine), SharePoint governance and health checks, Copilot readiness and data governance for Copilot, records management, eDiscovery, data loss prevention, and hands-on Microsoft 365 training and workshops. Their services center on migration consulting, content strategy, classification and insights, and helping organizations apply governance and compliance best practices across ECM and M365 ecosystems.

📋 Description

• Design, build, and deploy clinical AI agents that reason over patient context, invoke tools, and generate care recommendations. • Own reliability, observability, and cost efficiency of LLM-powered workflows at scale. • Build and optimize RAG pipelines over clinical knowledge bases, treatment protocols, and real-time patient data. • Develop evaluation frameworks: offline benchmarks, safety tests, regression suites, and LLM-as-judge pipelines wired into CI/CD. • Design multi-step agent orchestration: planning, memory, tool use, error recovery, and human-in-the-loop escalation paths. • Collaborate with clinical, product, and engineering teams to translate patient care needs into AI system design. • Stay at the forefront of AI and engineering best practices, continuously pushing the team to raise the bar on quality, performance, and architecture.

🎯 Requirements

• Bachelor's or Master’s degree in Computer Science, Engineering or related field, or equivalent work experience • 2+ years building AI/ML-powered systems in production • Experience in a high-growth, fast-paced environment with end-to-end ownership from design through production • Hands-on experience with LLM APIs (OpenAI, Anthropic, open-source models) including prompt engineering, tool use / function calling, and structured outputs • Experience building RAG systems: embeddings, vector stores, retrieval optimization, and grounding • Experience with agent frameworks or orchestration patterns (tool calling, planners, multi-agent coordination) preferred • Fine-tuning experience (SFT, RLHF, LoRA) on domain-specific tasks preferred • Healthcare or regulated-industry experience (HIPAA, SOC 2, clinical data handling) preferred

🏖️ Benefits

• Competitive pay & equity* • Fully remote • Comprehensive health coverage: Medical, dental & vision • Paid time off • 401k plan + matching • Paid parental leave • Home office stipend