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Java Full Stack Developer

Nexzentek — Canada · Posted ~2 hours ago

Senior Contract Hybrid

Skills

Java Angular TypeScript Spring Boot REST APIs Distributed systems Full-stack development AI application development LLM applications RAG Embeddings Vector databases Prompt engineering Distributed Systems LLMs Vector Databases

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Summary ✨ AI‑Generated

An experienced full-stack engineering role focused on developing AI-enabled enterprise applications. The position requires strong backend and frontend skills, distributed systems knowledge, and practical experience with modern AI development patterns.

Highlights

Opportunity to build enterprise applications combining modern full-stack technologies with artificial intelligence capabilities in a collaborative engineering environment.

Description

Full Stack Engineer with AI/LLM Location: Montreal, QC (Hybrid) Duration: 12 months IN-PERSON interview required. We are looking for an experienced engineer with strong full-stack development skills and hands-on experience building AI/LLM-enabled enterprise applications. The ideal candidate will have a strong background in Angular, TypeScript, Java, Spring Boot, REST APIs, and distributed systems, along with practical experience implementing modern AI application patterns such as RAG, embeddings, vector search, prompt engineering, structured outputs, and tool calling. Required Skills & Qualifications 8+ years of software engineering experience.Hands-on experience delivering production or production-like AI-enabled applications.Strong full-stack development experience with:AngularTypeScriptJavaSpring BootRESTful APIsDistributed systemsPractical experience with LLM application development, including:Model APIsRAG (Retrieval-Augmented Generation)EmbeddingsVector databases/searchPrompt engineeringStructured outputsTool/function callingExperience with AI evaluation, observability, and monitoring.Understanding of AI application security and secure enterprise application design.Experience integrating AI capabilities into enterprise applications and automation workflows.Strong understanding of software architecture, API design, scalability, and secure coding practices. Preferred Qualifications Experience with cloud platforms such as AWS, Azure, or GCP.Experience with AI/ML frameworks and enterprise LLM platforms.Experience building automation workflows and AI-powered developer or business productivity solutions.Strong communication and problem-solving skills.