This role involves developing and maintaining backend services for AI agents, creating seamless API integrations, and exploring new AI technologies for practical applications.
Anforderungen
- •5+ years of experience in backend engineering
- •Strong proficiency in Python
- •Strong proficiency in TypeScript
- •Strong proficiency in JavaScript
- •Practical experience with Azure cloud infrastructure
- •Experience with Terraform
- •Comfortable with React Native development
- •Proven experience integrating with Salesforce APIs
- •Strong understanding of secure API development
- •Understanding of OAuth
- •Understanding of webhooks
- •Understanding of REST/GraphQL APIs
- •Ability to quickly prototype and scale
- •Fluent in Git workflows
- •Fluent in CI/CD pipelines
- •Fluent in cloud-native deployment practices
- •Experience with AI/LLM agents (Nice to Have)
- •Familiarity with Google Cloud AI tools (Nice to Have)
- •Understanding of RAG pipelines (Nice to Have)
- •Interest in AI and user experience (Nice to Have)
Deine Aufgaben
- •Build and maintain backend services for AI agents.
- •Develop API integrations with Salesforce platforms.
- •Work with middleware team interfacing with SAP.
- •Create fast, functional prototypes for AI use cases.
- •Deploy and manage services in Azure.
- •Write and modify Terraform scripts for automation.
- •Implement frontends for AI agents in React Native.
- •Interface with vector databases for data access.
- •Support RAG pipeline development for business data.
- •Explore evolving AI protocols for Canyon applications.
Original Beschreibung
Stellenbeschreibung
## THE ROLE
We’re looking for an Integration Engineer with a backend-first mindset, strong cloud infrastructure skills, and enough frontend capability (React Native) to help us bootstrap intelligent AI-powered experiences from end to end.
You’ll be the engineering backbone of our AI Agent development — integrating LLMs into secure production systems, connecting enterprise data (Salesforce, SAP), and helping deploy AI prototypes to real users via app or web. You’ll also help define the dev standards, cloud architecture, and APIs that power Canyon’s next-gen AI experiences.
## YOUR JOB AS PART OF THE CANYON CREW
**• Backend Engineering for AI Agents:** Build and maintain secure, scalable, production-ready backend services powering Canyon’s AI agents.
**• Enterprise Integration:** Develop robust API integrations with Salesforce Commerce, Service, and Marketing Clouds, and work closely with our middleware team to interface with SAP.
**• Rapid Prototyping:** Build fast, functional PoCs to test AI use cases (internal tools, customer-facing features), and turn them into production-grade systems.
**• Cloud & Infra-as-Code:** Deploy and manage services in Azure, including writing and modifying Terraform scripts for infrastructure provisioning and automation.
**• Frontend Support (React Native):** Implement lightweight frontends and touchpoints for our AI agents when needed, especially in mobile app surfaces.
**• Data & Pipeline Development:** Interface with vector databases (Pinecone, FAISS), support RAG pipeline development, and ensure clean access to business data.
**• AI Tech Exploration:** Stay curious and hands-on with evolving AI protocols (e.g., Google A2A, Google Agent SDK, AI Studio) and explore how they can be applied to Canyon use cases.
## SO GEHST DU BEI UNS AN DEN START
• 5+ years of experience in **backend or full-stack engineering**, preferably in high-scale consumer or SaaS environments
• Strong proficiency in **Python, TypeScript,** and **JavaScript**
• Practical experience working with **Azure** cloud infrastructure and **Terraform**
• Comfortable with **React Native** development — able to deliver basic user interfaces when no dedicated frontend engineer is available
• Proven experience integrating with **Salesforce APIs** (Commerce Cloud, Service Cloud, Marketing Cloud)
• Strong understanding of secure API development, OAuth, webhooks, and REST/GraphQL APIs
• Ability to move quickly: prototype → validate → scale, with good engineering hygiene
• Fluent in Git workflows, CI/CD pipelines, and cloud-native deployment practices
**Nice to Have:**
• Experience with **AI/LLM** agents, LangChain, or vector DBs like Pinecone
• Familiarity with **Google Cloud AI tools** (Vertex AI, AI Studio, Agent SDK)
• Understanding of RAG pipelines and prompt orchestration patterns
• Interest in the intersection of AI, commerce, and user experience