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Full Stack Developer (Angular + Java + GenAI Enablement)
Full Stack Developer (Angular + Java + GenAI Enablement)
Location: Toronto, ON
Hybrid (4 Days WFO)
ROLE DESCRIPTIONS:
KEY 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
- Retrieval Augmented Generation (RAG) services
- 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 nonfunctional 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 strong 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 dynamic 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 opensource).
- Ability to evaluate prompt and model responses for quality| bias| and consistency.
SECURITY & COMPLIANCE
- Experience implementing OAuth2.0| 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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