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Zortech Solutions

AI &Intelligent Integration Developer

Canada

Contract

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Job details

Job type: Contract
Posting language: English
Posted: Nov 13, 2026

Original job description

Job Description:

Integrate enterprise AI platforms, Large Language Models (LLMs), and AI-powered services into business applications and workflows.
Build AI-enabled solutions using technologies such as Vertex AI, Gemini, OpenAI, Anthropic Claude, or equivalent platforms.
Implement Retrieval-Augmented Generation (RAG), AI agents, intelligent workflows, and API-based AI integrations.
Leverage AI-assisted engineering tools to improve software development productivity and quality.
Collaborate with architecture, data, and AI teams to deliver scalable, secure, and responsible AI solutions.
Ensure AI integrations comply with enterprise security, governance, privacy, and Responsible AI standards.

Operational Excellence

Troubleshoot and resolve complex issues across APIs, integrations, cloud platforms, and event-driven systems.
Support production deployments, incident resolution, and root-cause analysis.
Optimize solution performance, scalability, reliability, and maintainability.
Contribute to reusable frameworks, engineering standards, and continuous improvement initiatives.

Experience

7+ years of hands-on experience developing enterprise APIs, microservices, and integration solutions.
Strong experience with Java (Spring Boot) and Python development.
Experience building event-driven and real-time integration solutions using Kafka and messaging technologies.
5+ years of experience developing and deploying cloud-native solutions, preferably on GCP.
Experience with API management platforms such as Apigee, Kong, MuleSoft, or equivalent technologies.
Strong knowledge of API security, OAuth, JWT, and secure software development practices.
Experience integrating enterprise AI platforms such as Vertex AI, Gemini, OpenAI, Anthropic Claude, Azure AI Services, or equivalent technologies.
Experience developing AI-enabled applications, RAG solutions, AI agents, or intelligent workflow automation.
Understanding of AI governance, security, privacy, and Responsible AI practices.

Technical Skills

Java (Spring Boot) and Python
APIs, RESTful services, microservices, and enterprise integration patterns
Apigee, Kong, MuleSoft, or similar API management platforms
Kafka, Pub/Sub, event-driven architecture, messaging, and real-time streaming
Kubernetes, Docker, and cloud-native application development
Google Cloud Platform (GCP), including Cloud Run, Cloud Functions, and Pub/Sub
OAuth, JWT, API security, and secure development practices
CI/CD, DevOps, and automation
Distributed systems, scalability, resiliency, monitoring, and observability
Vertex AI, Gemini, OpenAI, Anthropic Claude, Azure AI Services
Large Language Models (LLMs), prompt engineering, embeddings, and AI integration patterns
Retrieval-Augmented Generation (RAG), vector databases, AI agents, intelligent workflows, and MCP
AI-assisted development tools such as GitHub Copilot, Gemini CLI, and Cursor
AI governance, Responsible AI, security, privacy, and compliance

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More about this job

Responsibilities

Integrate enterprise AI platforms and services into business applications, building solutions that use LLMs, RAG, AI agents, and intelligent workflows. Troubleshoot and optimize integrations and cloud systems, support production operations, and contribute to secure, responsible, scalable engineering practices.

Requirements

Requires 7+ years of experience developing enterprise APIs, microservices, and integration solutions, with strong Java and Python skills and experience in event-driven systems and cloud-native development. Candidates should also have experience with API management and security, enterprise AI platforms, RAG or AI agents, and AI governance and Responsible AI practices.

Skills

Java
Spring Boot
Python
Enterprise APIs
Microservices
API Management
Kafka
Event-Driven Architecture
Google Cloud Platform
Kubernetes
Docker
API Security
Large Language Models
Retrieval-Augmented Generation
AI Agents
AI Governance

Visa sponsorship

Not detected in the job text

Keywords

Java
Spring Boot
Python
RESTful Services
Microservices
Apigee
Kong
MuleSoft
Kafka
Pub/Sub
Event-Driven Architecture
Kubernetes
Docker
Google Cloud Platform
Cloud Run
Cloud Functions
OAuth
JWT
CI/CD
DevOps
Vertex AI
Gemini
OpenAI
Anthropic Claude
Azure AI Services
Large Language Models
Prompt Engineering
Embeddings
Retrieval-Augmented Generation

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Open jobs in Canada

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