ImagineX is a tech company that deploys AI-assisted teams to build and secure mission-critical enterprise solutions with our clients – spanning software, data, and AI. Structured like a software company, not a traditional consultancy, we blend deep technical expertise with authentic values, achieving world-class satisfaction (NPS 91). Our dedicated teams specialize in software, data, and AI across the U.S. and LATAM, bridging the gap between boutique agility and enterprise scale.
As a Software Engineer II specializing in Java full‑stack development with a strong focus on AI‑enabled engineering, you will design and deliver complex enterprise applications while shaping how AI accelerates our development lifecycle. With 7+ years of hands‑on experience, you’ll contribute to architecture, mentor junior engineers, and integrate AI‑powered capabilities into modern Java systems. This role is ideal for an engineer who thrives in full‑stack environments, understands scalable distributed systems, and is excited to apply AI to improve both product functionality and engineering velocity.
Responsibilities- Design, develop, and maintain backend services using Java, Spring Boot, and modern architectural patterns
- Build intuitive, performant front‑end experiences using React, Angular, or Vue
- Lead technical design discussions and contribute to architectural decisions
- Integrate AI/ML capabilities into applications (e.g., embeddings, LLM‑powered features, intelligent automation)
- Use AI‑assisted development tools to accelerate coding, testing, documentation, and refactoring
- Mentor junior engineers and promote engineering best practices across the team
- Collaborate closely with product, data, and AI teams to deliver end‑to‑end solutions
- Contribute to CI/CD pipelines, cloud deployments, observability, and performance optimization
- Ensure security, scalability, and maintainability across the full stack
- 7+ years of professional software engineering experience
- Advanced proficiency in Java, Spring Boot, and microservices architectures
- Strong experience with front‑end frameworks such as React, Angular, or Vue
- Experience integrating AI/ML services or building AI‑enhanced features (LLMs, vector search, model inference, etc.)
- Familiarity with cloud platforms (AWS, Azure, or GCP) and container orchestration (Docker, Kubernetes)
- Strong understanding of distributed systems, API design, and modern DevOps practices
- Experience with relational and NoSQL databases
- Ability to lead technical initiatives and mentor less‑experienced engineers
- Excellent communication skills and the ability to collaborate with cross‑functional teams
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