Über
Role summary
As a Senior Full Stack Engineer on the
FAB AI Platform & Agents
team, you will design and ship full-stack systems and AI agent capabilities that enable product teams across *
/dxg
to build, validate, and deploy trustworthy GenAI solutions at scale.
You'll operate with high ownership-from concept to production-while mentoring engineers and raising the bar on secure, reliable delivery.
FAB
is a GenAI platform built by the
DXG Advanced Technology Team
to accelerate adoption of AI services across Wolters Kluwer divisions, with security and availability expectations formalized in SOC reporting.
The ecosystem includes capabilities for
agents
,
indexing / retrieval
, and
datasets/evaluation & tuning
, with community enablement and reusable reference architectures shared through */dxg channels.
What you'll do (key responsibilities)
Build full-stack platform experiences
Design and implement full-stack applications and platform components that enable rapid development, validation, and deployment of AI agents.
Deliver robust user and developer experiences that move teams from experimentation to production with consistent patterns and reusable building blocks.
Engineer production-grade AI agent systems
Build and evolve AI agents using current LLM patterns (e.g., retrieval/tool use/routing/evaluations) to improve quality, reliability, and cost efficiency.
Contribute to standardization of agent implementations via reusable "blueprints/specs" and a registry mindset (schema, CI/CD hooks, runtime contract, governance).
Enable evaluation-driven development (Evals)
Build developer tooling and workflows for safe iteration: evaluations, rollout/rollback strategies, canaries, telemetry, and quality/cost tracking.
Partner with domain experts and platform stakeholders to continuously improve agent behavior based on measurable outcomes and structured feedback loops.
Operate with security, compliance, and DevSecOps by default
Apply secure SDLC and privacy-by-design practices (threat modeling, least privilege), aligned to platform control expectations documented for FAB.
Build/maintain operational readiness practices (release pipelines, change controls, emergency access patterns) in line with FAB DevSecOps alignment efforts.
Proactively reduce common classes of vulnerabilities in platform workflows (e.g., mass assignment, parameter tampering) using strict DTO contracts and server-side validation.
Cloud-native delivery across a hybrid landscape
Build cloud-native services across a hybrid deployment model where FAB design/back-office services are hosted on AWS while enabling runtime services to run on AWS and Azure.
(Plus) Experience with multimodal ingestion/retrieval pipelines (e.g., document ? image transforms ? embeddings; vector persistence and search integration) is valuable.
Lead through impact and mentorship
Serve as a hands-on technical leader: drive architecture, unblock delivery, mentor engineers, and take ownership of larger initiatives.
Collaborate cross-functionally (product, UX, engineering, governance) and translate ambiguous problems into crisp execution plans. [
What success looks like (examples of outcomes)
Improved platform adoption and measurable agent usage (including platform metrics like agent invocations as a proxy for value). [
Faster, safer delivery via better developer experience and operational excellence metrics (e.g., alignment to DORA/DX-style measures discussed for FAB). ]
Stronger embedded governance: compliance requirements (e.g., SOC controls) expressed as baked-in platform capabilities rather than manual checklists.
Required qualifications
8+ years of professional software engineering experience with strong full-stack development skills and cloud experience.
Expertise in at least one (and working proficiency across others) of: AI agent development & evaluation, backend development, frontend development, cloud services, CI/CD & IaC, SRE/operations, testing strategy, secure SDLC.
Proven track record delivering secure, reliable, cloud-native systems to production; strong ownership and cross-functional communication. [
Our Interview Practices
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.
Compensation:
$102,600.00 - $179,250.00 USD
This role is eligible for Bonus.
Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.
Additional Information
:
Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.
EQUAL EMPLOYMENT OPPORTUNITY Wolters Kluwer U. S. Corporation and all of its subsidiaries, divisions and customer/business units is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
Sprachkenntnisse
- English
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