Senior Backend Engineer - AI & Productivity

What You'll Do

• 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

Required Skills

• 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

About You

• You thrive in a fast-paced environment with evolving requirements

• You balance quick experimentation with production-ready code

• You're skilled at navigating ambiguity and driving projects to completion

• You collaborate effectively with diverse stakeholders

• You make thoughtful architectural decisions balancing innovation with constraints

• You focus on business impact and user experience

• You enjoy mentoring others and fostering engineering excellence

Nice to Have

• Experience with conversational AI and voice agent development

• Knowledge of autonomous agent architectures and workflows

• Background in data pipeline design and ETL processes

• Experience building low-latency real-time AI systems

• Familiarity with AI agent orchestration frameworks

• Understanding of multi-agent systems and communication patterns

• Knowledge of AI system cost optimization

Compensation

The annual base salary range for this position is as follows plus equity and benefits: Canada: $196000 - $218000 CAD

The ranges displayed reflect the target for new hire salaries and within each range individual pay is determined by your skills and experience as well as relevant education. Your recruiter can share more and answer questions about the specific salary range during the hiring process.

Salary is just one component of OpenPhone’s total compensation package. Your total rewards package will include equity extensive medical coverage a monthly lifestyle stipend and a flexible PTO policy.