Jobs at ImagineX Consulting

Design, build, and deploy production-grade agentic AI systems, including autonomous and multi-agent architectures, tool-use orchestration, memory, retrieval, and function-calling workflows. Integrate agents with enterprise tools and databases, implement evaluations, guardrails, observability, fallback paths, and human-in-the-loop controls. Lead technical strategy, client collaboration, prototyping, and product direction for enterprise AI initiatives.

Design and deliver scalable full-stack enterprise applications using Node.js and Vue.js. Lead architecture and technical design, integrate AI/ML capabilities, optimize development with AI-assisted tools, contribute to cloud deployments and CI/CD, and ensure security, observability, performance, and maintainability. Mentor junior engineers and collaborate with product, data, and AI teams.

Plans and conducts end-to-end mixed-methods user research for client engagements, including interviews, usability testing, surveys, market analysis, and synthesis. Translates findings into actionable product recommendations, presents results to stakeholders, supports service design artifacts, facilitates workshops, mentors researchers, and contributes to internal research practices while using AI-assisted tools responsibly.

Design end-to-end product experiences across client engagements: conduct user research and testing, create UX/UI, interaction design, prototypes, and design systems; collaborate with product, engineering, and delivery teams to align design with business goals and contribute to internal design standards and critiques.

Design, build, and maintain automated test frameworks for UI, API, and integration testing; integrate tests into CI/CD; perform performance/load testing; collaborate with engineers to prevent defects; define quality metrics; review code; and mentor junior engineers to drive automation-first quality practices.

The Senior Software Engineer will design and deliver enterprise applications, mentor junior engineers, and integrate AI capabilities into Java systems, focusing on scalable solutions.

Lead the design and architecture of Java full-stack applications, mentor engineers, integrate AI/ML capabilities, and drive technical excellence.

Lead cross-functional engineering teams delivering Java full-stack and AI solutions, managing client partnerships, Agile processes, and technical challenges.

Lead the design of enterprise systems, collaborating with clients, defining architectures, and integrating AI to create scalable solutions.