Senior Full Stack Engineer, AI Platform & Agents

As principal Full Stack Engineer, AI Platform & Agents, you will 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.

About this role
Our team is building a central GenAI Platform to empower hundreds of product
teams across the organization with scalable capabilities for rapid development,
validation, and deployment of AI agents. We also drive the development of the
most impactful AI agents, ensuring faster delivery and greater impact across
multiple domains. With over 20 agents already launched and many more in
progress, our work accelerates innovation and improves outcomes in critical
industries.

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  Design and implement full-stack applications, AI agents, and platform components that enable rapid GenAI agent development, validation, and deployment.

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  Build developer tooling, CI/CD, and observability for safe, fast iteration (evals, canaries, rollout/rollback, cost and quality telemetry).

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  Apply secure SDLC and privacy-by-design practices (threat modeling, least privilege).

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  Collaborate with product, UX, and domain experts to deliver customer-focused solutions with measurable outcomes.

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  Apply current LLM patterns (RAG, retrieval, routing, tool-use, evals) to deliver measurable customer value—faster, more reliable AI systems; reduced time-to-decision; improved trust/safety metrics; and lower cost per query.

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  Lead by example through writing high-quality, maintainable code that demonstrates engineering craftsmanship

• 5+ years of professional software engineering experience.

• 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

• Proven track record delivering secure, reliable, cloud-native systems to

• production.

• Excellent problem-solving, ownership, and cross-functional

• communication.

• 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 (e.g., A/B 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.

• 15‑minute intro screen

• 2× live coding in your preferred language

• 1× systems design

• 1× presentation of past work

• Month 1: Deep-dive into one platform component most aligned with your

• expertise; ship small improvements while ramping up.

• After onboarding: We’ll align on a high-impact area that fits your strengths

• and ambitions.

Please submit your resume along with a brief cover letter that includes a “Statement of Exceptional Work.” In your cover letter, highlight one of your most impactful projects by addressing the following:

• Your role and the problem space you were working in

• The technical and product challenges you faced, and how you addressed them

• The measurable impact of your work (e.g., metrics, outcomes, improvements)

This will help us better understand your approach to solving complex problems and the value you bring to the team.

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you—not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.