Senior Backend Engineer, AI & Productivity

Posted 16 days agoViewed

💎 Seniority level: Senior, 5+ years

📍 Location: Canada

💸 Salary: 196000.0 - 218000.0 CAD per year

🔍 Industry: Business telecommunications

⏳ Experience: 5+ years

🪄 Skills: Node.jsPythonTypeScript

5+ years of backend engineering experience with TypeScript/Node.js or Python.
Experience with LLM integrations (OpenAI, Anthropic, Azure OpenAI) and familiarity with orchestration frameworks like LangChain or LlamaIndex.
Experience/familiarity with real-time event-driven and streaming systems.
Working knowledge of prompt engineering, RAG, and vector databases.
Experience with API design and microservices architecture.
Track record of rapid prototyping and experimentation.
Strong cross-functional collaboration and communication skills.

Design and integrate LLM-based solutions, focusing on RAG implementations and optimal architecture patterns.
Lead rapid experimentation and prototyping of AI features, conducting proof of concepts to validate solutions.
Drive cost optimization for AI implementations through efficient architecture design.
Work closely with product, engineering, and customer experience teams to develop AI solutions.
Build and optimize prompt engineering workflows to enhance user experiences.
Implement robust error handling and monitoring for AI systems.
Guide technical discussions around AI architecture decisions.
Mentor team members and champion innovation in AI development.

Posted 17 days ago

📍 Canada

🧭 Full-Time

💸 196000.0 - 218000.0 CAD per year

🔍 Telecommunications

5+ years of backend engineering experience with TypeScript/Node.js or Python.
Experience with LLM integrations (OpenAI, Anthropic, Azure OpenAI), and familiarity with orchestration frameworks like LangChain or LlamaIndex.
Experience or familiarity with real-time event-driven and streaming systems.
Working knowledge of prompt engineering, RAG, and vector databases.
Experience with API design and microservices architecture.
Track record of rapid prototyping and experimentation.
Strong cross-functional collaboration and communication skills.

Design and integrate LLM-based solutions, especially focusing on RAG implementations.
Lead rapid experimentation and prototyping of AI features, conducting proof of concepts to validate solutions.
Drive cost optimization for AI implementations through efficient architecture design.
Collaborate closely with product, engineering, and customer experience teams to develop AI solutions.
Build and optimize prompt engineering workflows to enhance user experiences.
Implement robust error handling and monitoring for AI systems.
Guide technical discussions around AI architecture decisions.
Mentor team members and advocate for innovation in AI development.

Node.jsPythonTypeScriptAzureCommunication SkillsCollaborationMentoringMicroservices

Posted 17 days ago

🔧 Requirements