Senior Full Stack Engineer, AI Platform & Agents
New
W
Wolters KluwerAI platform
Source API remote eligibility restrictions: Germany, Collaboration requires 9–11 AM CST overlap.Full-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years of professional software engineering experience.
- Required Skills
- AWSNode.jsPythonGCPTypeScriptAzureReactCI/CDLangChain
Requirements
- Have 5+ years of professional software engineering experience.
- Bring strong full-stack development skills and cloud experience with AWS, Azure, or GCP.
- Be expert in at least one of the listed areas and proficient across the others: AI agent development and evaluation, backend development, frontend development, cloud services, CI/CD and infrastructure as code, site reliability engineering, quality engineering and testing strategy, or secure SDLC and privacy by design.
- Have a proven track record delivering secure, reliable, cloud-native systems to production.
- Demonstrate problem-solving, ownership, and cross-functional communication.
- Nice to have: experience taking AI agents from concept to production, including safety evaluations, iterative testing, and continuous improvement.
- Nice to have: experience with LangChain or LangGraph, MCP, vector or RAG systems, or OpenSearch.
- Nice to have: experience with traditional ML tasks such as training, deployment, and monitoring.
- Nice to have: understanding of LLMs, their failure modes, fine-tuning, and model adaptation.
- Nice to have: familiarity with regulatory frameworks such as SOC 2 or HIPAA.
Responsibilities
- Design and implement full-stack applications, AI agents, and platform components for GenAI agent development, validation, and deployment.
- Build developer tooling, CI/CD, and observability for iteration, including evaluations, canaries, rollout and rollback, and cost and quality telemetry.
- Apply secure SDLC and privacy-by-design practices, including threat modeling and least privilege.
- Collaborate with product, UX, and domain experts to deliver customer-focused solutions.
- Apply LLM patterns such as RAG, retrieval, routing, tool use, and evaluations.
- Write high-quality, maintainable code and lead by example in engineering craftsmanship.
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