TopGenAIJobs

TopGenAIJobs

A Gen AI & Agentic AI Jobs Platform to discover high-quality Gen AI and Agentic AI opportunities from top companies worldwide.

topgenaijobs.com

Quick Links

  • Home
  • Browse Jobs
  • Browse by Category
  • Companies
  • Post a Job
  • Career Resources
  • About Us

Resources

  • Blog
  • Career Guide
  • Resume Tips
  • Interview Prep
  • Salary Guide
  • Skill Demand Index

Top Gen AI Roles

  • Gen AI Engineer Jobs
  • Agentic AI Engineer Jobs
  • Prompt Engineer Jobs
  • LLM Engineer Jobs
  • RAG Engineer Jobs
  • MLOps Engineer Jobs
  • Remote AI Jobs
  • Entry Level AI Jobs
  • Senior AI Jobs

Legal

  • Privacy Policy
  • Terms of Service
  • Cookie Policy
  • Contact

© 2026 TopGenAIJobs (Gen AI & Agentic AI Jobs Platform). All rights reserved.

Made with ❤ by TopGenAIJobs Team

    Home/Jobs/Principal Full Stack Engineer, AI Platform & Agents

    Principal Full Stack Engineer, AI Platform & Agents

    Wolters Kluwer

    Us / Chicago
    8+ years
    46 days ago
    ₹157–282 LPA
    Full-time
    Remote

    Skills Required

    LangChain/LangGraph
    Azure OpenAI
    AWS Anthropic
    Google Gemini
    TypeScript
    Node.js
    React
    Python
    Rust
    AWS
    Azure
    GCP
    Docker
    Terraform
    GitHub Actions

    Description

    Build the GenAI platform that powers critical decisions in healthcare, legal, tax, and compliance industries. Your work will directly shape the future of these fields, enabling faster, safer, and more impactful decision-making at a global scale.

    Company: Wolters Kluwer

    Role: Principal Full Stack Engineer, AI Platform & Agents

    Location: US/Canada, Hybrid or Remote

    Experience:

    • 8+ years of professional software engineering experience
    • Proven track record delivering secure, reliable, cloud-native systems to production

    Qualification:

    • Strong full-stack development skills and cloud experience (AWS/Azure/GCP)
    • Expert in at least one, and proficient across the others: AI Agent development and evaluation, Backend development, Frontend development, Cloud services (AWS/Azure/GCP), CI/CD and Infrastructure as Code, Site Reliability Engineering (SRE), Quality engineering / testing strategy, Secure SDLC and privacy by design

    Role Focus: • Design and implement full-stack applications, AI agents, and platform components that enable rapid GenAI agent development, validation, and deployment • Build developer tooling, CI/CD, and observability for safe, fast iteration • Apply secure SDLC and privacy-by-design practices • Collaborate with product, UX, and domain experts to deliver customer-focused solutions with measurable outcomes • Apply current LLM patterns to deliver measurable customer value • Lead by example and be heavily hands-on: drive architecture, mentor engineers, and take ownership of larger projects

    Nice to have:

    • Proven ability to deliver software products independently or as part of a small, fast-paced team
    • Experience of taking AI agents from concept to production, including safety evaluations, iterative testing, and continuous improvement
    • Experience with LangChain/LangGraph and MCP; vector/RAG systems; OpenSearch
    • Worked on traditional ML tasks like training, deployment, and monitoring
    • Understand how LLMs work, their failure modes, and techniques like fine-tuning and model adaptation
    • Familiarity with regulatory frameworks such as SOC2, HIPAA, etc.

    More skills:

    MCP/A2A, DocumentDB, DynamoDB, OpenSearch, Azure AI Search

    Other:

    • Compensation: $157,900.00 - $282,100.00 USD
    • Benefits: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave
    • Work Hours: Must have 9–11 AM CST overlap
    • Candidates within commuting distance of a Wolters Kluwer office will be considered for hybrid employment, with 2 days per week onsite
    • Flagship Agent: UpToDate Expert AI—a medical research and clinical reasoning agent

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    AWS Machine Learning Specialty

    Coursera

    Prepare for the AWS ML Specialty certification — SageMaker, Bedrock, and AI services.