Senior Full Stack Engineer, AI Platform – Agents
Wolters Kluwer
AWSAzureCloudGoogle Cloud PlatformSDLC
AI/ML Engineering Co-op
Zus Health
internship
Posted on:
Location Type: Hybrid
Location: Boston • Massachusetts • 🇺🇸 United States
Visit company websiteSalary
💰 $30 per hour
Job Level
Entry Level
Tech Stack
AWSAzureCloudGoogle Cloud PlatformPython
About the role
- Conduct research to explore new methodologies and techniques, and integrate them into product offerings.
- Develop prototypes to test and improve innovations and feedback mechanisms to improve models.
- Work with software engineers to help deliver CI/CD pipelines and automate workflows for model operations.
- Present learnings and help leverage methods and techniques for the team.
Requirements
- Hands-on experience with LLMs and classical ML methods (must-have)
- Hands-on experience with agentic frameworks and tools such as LangGraph, Strands, LangFuse, MCP, etc.
- Proficiency in Python (must-have)
- Hands-on experience designing offline or online experiments: crafting task-specific metrics, computing bootstrapped confidence intervals, and conducting slice-based error analysis
- Familiarity with cloud services (e.g., AWS, GCP, Azure)
- Demonstrated curiosity—comfortable jumping into unfamiliar domains, papers, or codebases and learning fast
- Strong verbal/written skills—able to explain complex ML concepts to diverse stakeholders
- Demonstrated ability to work effectively in a collaborative team environment
Benefits
- Competitive compensation that reflects the value you bring to the team
- Opportunity to work alongside a passionate team that is determined to help change the world (and have fun doing it).
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
LLMsclassical ML methodsPythonagentic frameworksLangGraphStrandsLangFuseMCPtask-specific metricsbootstrapped confidence intervals
Soft skills
curiosityverbal communicationwritten communicationcollaboration
