Solutions Engineer (CONTRACT)

Occulytics Inc. is building innovative solutions in the senior living industry by transforming fragmented data into actionable insights. They are seeking a Solutions Engineer with a strong software engineering foundation and hands-on AI experience to develop AI-enabled tools and data platforms, focusing on building scalable solutions that automate processes and enhance decision-making.

Responsibilities:

• Build and deploy production software that solves real business problems, from AI-enabled applications and agentic workflows to the data platforms that support them
• Partner with the MD of Data and AI to design and implement scalable technical solutions that can be reused across clients
• Build AI-enabled applications and end-to-end solutions that connect data sources, business logic, AI capabilities, and user experiences to automate processes and solve real business problems
• Integrate solutions with APIs, enterprise applications, and operational workflows
• Build production-grade applications and services, bringing data and AI capabilities into real-world workflows
• Develop and improve LLM-powered applications using modern AI frameworks and APIs
• Design AI applications that connect models with enterprise data and business context through retrieval, tool use, and agentic workflows
• Implement evaluation approaches, logging, and monitoring to measure AI performance and improve system reliability
• Apply responsible AI practices including data access controls, PII minimization, and auditability
• Build and maintain reliable data pipelines and models that turn operational data into trusted, analytics-ready datasets
• Build the data foundations required for AI solutions, including retrieval pipelines, embeddings, and vector databases
• Implement data quality checks and monitoring to ensure production reliability
• Create reusable components, frameworks, and documentation that accelerate future client delivery
• Develop repeatable approaches for common data integration, AI, and automation challenges
• Contribute to evolving best practices around data engineering and AI delivery