AI &Intelligent Integration Developer

@ Zortech Solutions

Toutes ses offres

Canada

Contrat7+ ans d’expérience

Postuler

SIGNAUX

En bref

Zortech Solutions is hiring an AI and Intelligent Integration Developer on a contract basis to integrate enterprise AI platforms, LLMs and AI-powered services into business applications and workflows. The work covers RAG, AI agents, API-based AI integrations, and production support across APIs, cloud and event-driven systems. The posting requires 7+ years of enterprise API and integration experience, strong Java (Spring Boot) and Python skills, and GCP cloud experience.

Responsabilités :

Integrate enterprise AI platforms and LLMs into business applications
Build RAG, AI agent and API-based AI solutions
Troubleshoot APIs, integrations and cloud platforms
Support production deployments and root-cause analysis

Résumé des exigences :

7+ years enterprise API and microservices development
5+ years cloud-native development, preferably GCP
Strong Java (Spring Boot) and Python
Experience with AI platform integration and RAG or AI agents

Outils et compétences

Apigee Kong MuleSoft Kafka Pub/Sub Kubernetes Docker Vertex AI Gemini GitHub Copilot

Source et dates

Type de source non vérifié · apify-linkedin

Date publiée par l’employeur: 2026-11-12
Première détection par notre source: 2026-11-14
Mise à jour du dossier source: 2026-11-14

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

Niveau	Senior
Domaine	Développement logiciel
Expérience	7 an(s) et plus
Déplacements	avion : aucun · route : aucun
Milieu de travail	Bureau
Position	Surtout assis
Exigences physiques	physique faible · ordinateur élevé
Langues	English

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Postuler

Zortech Solutions

Toutes ses offres

Champ	Valeur
Offres sur Jobsy	3

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