Full Stack Developer (JAVA + Spring Boot + Angular + AI)

Toronto, ON - Hybrid (4 Days WFO)

12 months

Responsibilities

- Design, develop, and maintain high-performance backend services using Java (17+), Spring Boot, and Microservices architecture.
- Build and expose RESTful and event-driven APIs supporting enterprise-scale applications.
- Integrate Generative AI / LLM capabilities (e.g., text generation, summarization, Q&A;, classification) into backend workflows.
- Design, test, and optimize prompts and prompt orchestration strategies to ensure accuracy, determinism, and performance.
- Develop AI-aware backend components such as prompt templates and prompt pipelines.
- Implement Retrieval-Augmented Generation (RAG) services.
- Build AI inference orchestration layers.
- Implement secure API integrations with AI platforms and internal data sources, ensuring compliance with enterprise security standards.
- Apply prompt versioning, evaluation, and monitoring techniques to improve AI output quality over time.
- Ensure non‑functional requirements: scalability, resiliency, performance, and observability.
- Contribute to CI/CD pipelines, containerization, and cloud‑native deployments.
- Participate in code reviews, architecture discussions, and technical design decisions.
- Support production systems and troubleshoot complex backend or AI integration issues.

Required Technical Skills





Core Backend Engineering

- 5+ years of hands‑on experience in Java backend development.
- Expertise in Java 11/17+, Spring Boot, Spring MVC, Spring Security.
- Solid experience in Microservices, REST APIs, and API design (OpenAPI/Swagger).
- Experience with containers and cloud platforms (Docker, Kubernetes, OpenShift, Azure/AWS).
- Strong knowledge of SQL and NoSQL databases (e.g., DB2, PostgreSQL, MongoDB).
- Experience in CI/CD, DevOps practices, and automated testing.

AI & Prompt Engineering

- Hands‑on experience integrating Large Language Models (LLMs) into backend systems.
- Strong understanding of prompt engineering techniques, including zero-shot, few-shot, and chain-of-thought prompting.
- Prompt templates and energetic prompt generation.
- Guardrails, validation, and hallucination reduction.
- Experience building RAG‑based solutions using vector stores and embeddings.
- Familiarity with AI orchestration frameworks or SDKs (enterprise or open-source).
- Ability to evaluate prompt and model responses for quality, bias, and consistency.

Security & Compliance

- Experience implementing OAuth 2.0, JWT, SSL/TLS, and secure API patterns.
- Awareness of data privacy, PII handling, and AI governance in regulated environments (BFSI preferred).

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📌 Full Stack Engineer (Toronto)
🏢 TEKGENCE
📍 Toronto