Design, build, and operate complex, regulated global solutions across payroll, tax, and immigration domains, leading AI-enabled development practices and architectural leadership.
Responsibilities
Produce architecture designs and implement key components
Design and build event-driven services
Build using Azure PaaS services and patterns
Architect and ship large Next.js/React applications
Define secure integration patterns and build connectors
Design, build, and operate secure, scalable products for Compensation Collection, Shadow Payroll, and Equity offerings in a regulated, multi‑jurisdictional environment.
Responsibilities
Build and evolve modern web experiences using Next.js, React, and TypeScript
Design and implement backend services and APIs with C#, .NET, and WebAPI
Deliver Azure‑native implementations of payroll and equity workflows
Contribute to system architecture and technical design for multi‑country payroll
Own production readiness including logging, monitoring, and incident response
Requirements
Bachelor’s degree in computer science, Engineering, or related field
AI Test Engineer responsible for validating AI-enabled solutions in production environments, translating testing strategy into executable frameworks, and ensuring performance thresholds are met.
Responsibilities
Translate AI testing strategy into executable test scenarios across LLM outputs, document classification, extraction accuracy, agent workflows, and edge cases
Design adversarial and boundary test inputs to expose hallucination, misclassification, and failure modes
Validate AI outputs for structure, consistency, accuracy, and production readiness against defined performance thresholds
Build reusable Python-based evaluation frameworks, including output validation, hallucination detection, and scoring mechanisms
Develop parameterized test scripts reusable across features, models, and releases
Requirements
Bachelor’s degree required
Advanced degree in Computer Science, Data Science, or related field preferred
Nice to have: Advanced degree in Computer Science, Data Science, or related field
AI Test Engineering is a hands-on role within VLabs Quality Engineering, responsible for validating the performance, reliability, and integrity of AI-enabled solutions in production environments.
Responsibilities
Translate AI testing strategy into executable test scenarios across LLM outputs, document classification, extraction accuracy, agent workflows, and edge cases
Design adversarial and boundary test inputs to expose hallucination, misclassification, and failure modes
Validate AI outputs for structure, consistency, accuracy, and production readiness against defined performance thresholds
Build reusable Python-based evaluation frameworks, including output validation, hallucination detection, and scoring mechanisms
Develop parameterized test scripts reusable across features, models, and releases
Requirements
Bachelor’s degree
Advanced degree in Computer Science, Data Science, or related field preferred
Nice to have: Background in regulated or compliance-driven environments
Define and execute AI strategies focused on RAG-based retrieval, code generation, and AI-assisted software engineering while leading a team of AI engineers.
Responsibilities
Define and execute AI strategies focused on RAG-based retrieval, code generation, and AI-assisted software engineering
Work with stakeholders to align AI capabilities with business objectives and software development needs
Research and integrate cutting-edge LLMs and autonomous AI agent architecture into development processes
Develop RAG pipelines that enhance AI‘s ability to retrieve relevant knowledge and generate context-aware responses
Build and optimize agentic AI systems that can interact with APIs, databases, and development environments
Requirements
Master's or Ph.D. in Computer Science, AI, Machine Learning, or a related field
Design, build, and operate secure, scalable products that power our Compensation Collection, Shadow Payroll, and Equity offerings for the world’s most complex multinational employers.
Responsibilities
Build and evolve modern web experiences for Compensation Collection, Shadow Payroll, and Equity products using Next.js, React, and TypeScript
Design and implement backend services and APIs using C#, .NET, and WebAPI
Deliver Azure-native implementations of shadow payroll calculation engines, compensation aggregation pipelines, and equity tax event workflows
Contribute to system architecture and technical design for multi-country payroll, compensation, and equity domains
Own production readiness for your work including logging, monitoring and alerting, reconciliation tooling, incident response support, and operational documentation
Requirements
Bachelor’s degree in computer science, Engineering, or related field required
Responsible for designing, developing, and implementing AI-based solutions, including intelligent agents to automate processes and optimize operational workflows to drive business efficiency and improve client experience.
Responsibilities
Design and develop autonomous AI agents and multi-agent systems to automate complex business processes.
Create RAG (Retrieval-Augmented Generation) architectures integrating vector databases, business knowledge, and external APIs.
Implement client management agents connected via MCP to critical applications (CRM, media platforms, analytics, etc.).
Automate operational workflows in Google Marketing Platform (GMP), advertising platforms, and reporting tools.
Develop generative AI solutions to improve communications, insight generation, and repetitive tasks.
Requirements
University degree in Engineering
University degree in Data Science
University degree in Computer Science or similar
Master/specialization in Data Science, AI or Generative AI (valued)
Nice to have: Experience in media agency, digital marketing, or advertising environments
Design and deliver AWS-based integration architectures for Vantive’s clinical, operational, and commercial systems.
Compensation
The estimated base salary for this position is $124,000 to $170,000 annually. The estimated range is meant to reflect an anticipated salary range for the position. This position may also be eligible for discretionary bonuses.
Responsibilities
Design and implement AWS-based architectures for integration workloads connecting clinical, supply chain, and enterprise systems
Develop integration patterns including API design, event-driven messaging, and data synchronization across Vantive's application landscape
Contribute to architectural standards, design patterns, and technical documentation
Collaborate with senior architects to translate business and clinical requirements into technical solutions
Evaluate and recommend appropriate AWS services for specific use cases
Requirements
Bachelor’s degree in computer science, Engineering, or related field (or equivalent practical experience)