Associate Software Engineer, AI Solutions

🔥 17 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🤖 AI Engineer

👻 Ghost score 10%

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Logo of Cayuse

Cayuse

201 - 500 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Cayuse is a leading provider of research administration software, catering to over 670 top global research organizations. Their connected cloud platform aims to modernize research administration by addressing various administrative challenges, enhancing risk management, resource management, and security in research settings. Cayuse's software solutions are designed to minimize risk, maximize efficiency, and optimize planning for data-driven organizations, serving administrators, researchers, and leadership teams. Their solutions include tools for fund management, ethics and oversight compliance, hazard safety, and training records, making it easy to manage billions in research funds.

📋 Description

• Build and maintain AI agents using large language models such as Claude within Cayuse products • Implement prompts, tool definitions, and orchestration logic • Help build and extend Model Context Protocol (MCP) servers • Implement tools, APIs, authentication, and permission checks for MCP integrations • Write documentation and tests for integrations • Convert AI-extracted rules into deterministic, auditable validations • Integrate AI features into existing Cayuse applications through platform APIs • Collaborate with product teams to fit AI into customer workflows • Write unit and integration tests and help build evaluation sets for LLM accuracy, reliability, latency, and cost • Contribute to AI pilots, investigate failures, identify root causes, and propose fixes • Ship code through CI/CD pipelines to AWS cloud environments, including Amazon Bedrock • Add logging and monitoring to AI services and troubleshoot production issues • Participate in code reviews, design discussions, and sprint ceremonies • Develop features using Cayuse’s shared AI platform and established engineering standards • Follow security and privacy standards, test for AI risks, and protect permissions, customer data, and tenant isolation

🎯 Requirements

• 0–2 years of professional software development experience, including internships, co-ops, or apprenticeships • Demonstrated ability to build working software through coursework, internships, personal projects, open-source contributions, or hackathons • Exposure to team-based development using version control (Git), code review, and agile practices • BS in Computer Science, Software Engineering, or a related field, or equivalent practical experience • Proficient in at least one general-purpose language (Python or TypeScript/JavaScript preferred; Java with Spring Boot also valued) • Solid grasp of data structures, APIs, error handling, and writing tests • Demonstrated interest in AI technologies and their application to software development • Familiarity with the Model Context Protocol, agent frameworks, or AI coding assistants such as Claude Code or GitHub Copilot • Working understanding of REST APIs, JSON, and authentication basics (API keys, OAuth) • Exposure to a cloud platform, preferably AWS; Amazon Bedrock is a plus • Exposure to containers (Docker) or CI/CD pipelines is a plus • Comfortable writing basic SQL queries and working with structured data • Clear communication through readable code, documentation, and pull request descriptions • Strong problem-solving instincts • Coachable and growth-oriented • Collaborative and adaptable in a remote-first environment • Genuine curiosity about AI’s impact on software and knowledge work

🏖️ Benefits

• Competitive Medical Benefits (PPO + HSA available) • Vision, Dental, Short-Term Disability fully covered by Cayuse • Unlimited PTO + Holidays + Flexible Work Schedule • Remote Work Stipend • Equal Paid Parental Leave • 401k with Employer Matching • Quarterly Wellness Reimbursement • Remote Work Environment, supporting the Ultimate Employee Experience

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