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Senior Java Full-Stack Engineer, AI/LLM

Nexzentek — Canada · Posted ~3 hours ago

Senior Contract Hybrid

Skills

Full-stack development Angular TypeScript Java Spring Boot REST APIs Distributed systems AI application development LLM application development Production AI applications Model APIs RAG Embeddings Vector search LLM Vector databases Prompt engineering

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Summary ✨ AI‑Generated

Join an enterprise engineering team building production-grade AI-enabled applications. This role combines full-stack development with Java, Spring Boot, Angular, TypeScript, REST APIs, and distributed systems, alongside modern LLM techniques including RAG, embeddings, vector search, prompt engineering, structured outputs, and tool calling. The engagement is hybrid and runs for 12 months.

Highlights

A 12-month hybrid opportunity to build production AI-enabled enterprise applications while combining strong full-stack engineering with modern LLM application patterns such as RAG, embeddings, vector search, and tool calling.

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.