AI Summary
Seeking an Intermediate Backend Software Developer to build and evolve AI-driven backend infrastructure, focusing on RAG and agentic workflows. Requires 5+ years of Python experience, strong backend fundamentals, and familiarity with AI integration concepts. Role is fully remote within Ontario or Quebec.
Key Highlights
Focus on building AI systems including RAG, multi-step agentic workflows, and tool calling.
Requires 5+ years of backend development experience with strong Python proficiency.
Fully remote position open to candidates in Ontario or Quebec.
Key Responsibilities
Design, build, and maintain scalable RESTful/GraphQL APIs and microservices that power our AI chatbot and other backend systems.
Implement agentic AI systems using frameworks like LangChain/LangGraph (or equivalent): multi-agent orchestration, tool calling to external APIs, reasoning loops, memory, and state management.
Integrate with third-party LLM providers and handle prompt engineering, rate limiting, cost optimization, and fallback logic.
Develop and optimize RAG pipelines — including document ingestion, embedding generation, vector search/retrieval, and context-aware response generation.
Work with both traditional databases and modern vector databases.
Build and maintain reliable integrations with external services via APIs, webhooks, and event-driven patterns.
Ensure high availability, performance, security, observability, and scalability of all backend services (monitoring, logging, caching, async processing).
Write clean, testable, well-documented code and actively participate in code reviews, architecture discussions, and agile ceremonies.
Collaborate closely with other engineering teams and product stakeholders to deliver end-to-end features.
Develop, configure, and maintain cloud infrastructure on which the applications run.
Participate in 24/7 on-call rotation for team-owned projects.
Technical Skills Required
Benefits & Perks
Fully remote position
4 weeks of vacation + 5 paid personal days annually
Group insurance programs
Access to telemedicine
EAP
Collective RRSP with matching contribution
Internet reimbursement
Nice to Have
Direct experience building or contributing to RAG systems or agentic workflows (LangChain, LangGraph, LlamaIndex, Haystack, CrewAI, AutoGen, etc.).
Experience with function/tool calling, structured output parsing, and multi-step agent reasoning.
Knowledge of Java/Spring Boot.
Understanding of LLM cost/performance trade-offs and basic prompt engineering.
Bachelor’s degree in computer science, Engineering, or equivalent practical experience.
Job Description
We are only open to candidates in the provinces of ONTARIO or QUEBEC.
We’re looking for a motivated Intermediate Backend Software Developer to help build and evolve the backend infrastructure powering our product suite — with a strong emphasis on our AI chatbot assistant. This is a general backend engineering role, but the current focus of the team is an AI system that includes Retrieval-Augmented Generation (RAG), multi-step agentic workflows, tool calling to external services, memory management, and seamless integration with LLMs.
You’ll design scalable, reliable backend services that serve as the foundation for AI-driven features while continuing to support traditional backend needs (APIs, data persistence, integrations, and performance). We value strong engineering fundamentals over mastery of any single legacy framework.
Key Responsibilities
- Design, build, and maintain scalable RESTful/GraphQL APIs and microservices that power our AI chatbot and other backend systems.
- Implement agentic AI systems using frameworks like LangChain/LangGraph (or equivalent): multi-agent orchestration, tool calling to external APIs, reasoning loops, memory, and state management.
- Integrate with third-party LLM providers and handle prompt engineering, rate limiting, cost optimization, and fallback logic.
- Develop and optimize RAG pipelines — including document ingestion, embedding generation, vector search/retrieval, and context-aware response generation.
- Work with both traditional databases and modern vector databases.
- Build and maintain reliable integrations with external services via APIs, webhooks, and event-driven patterns.
- Ensure high availability, performance, security, observability, and scalability of all backend services (monitoring, logging, caching, async processing).
- Write clean, testable, well-documented code and actively participate in code reviews, architecture discussions, and agile ceremonies.
- Collaborate closely with other engineering teams and product stakeholders to deliver end-to-end features.
- Develop, configure, and maintain cloud infrastructure on which the applications run.
- Participate in 24/7 on-call rotation for team-owned projects.
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- 5+ years of hands-on backend software development experience.
- Strong proficiency in Python and modern Python web frameworks (FastAPI, Django, or Flask strongly preferred).
- Solid understanding of relational and NoSQL databases, ORM/query optimization, and data modeling.
- Experience designing and consuming RESTful APIs, GraphQL, or event-driven architectures (Kafka, RabbitMQ, etc.).
- Familiarity with cloud platforms (AWS, GCP, or Azure) — especially serverless, containers (Docker), and basic orchestration (Kubernetes or similar).
- Working knowledge of AI integration concepts: LLMs, embeddings, vector search, RAG patterns, and basic prompt/tool-calling techniques.
- Strong software engineering fundamentals: clean code, testing (unit/integration), CI/CD, Git, and agile methodologies.
- Excellent problem-solving skills and the ability to break down complex AI-driven requirements into robust backend solutions.
- Familiarity with observability tools (Prometheus, Grafana, Datadog, OpenTelemetry) and security best practices (OAuth, JWT, API gateways).
- Advanced English communication skills.
- Direct experience building or contributing to RAG systems or agentic workflows (LangChain, LangGraph, LlamaIndex, Haystack, CrewAI, AutoGen, etc.).
- Experience with function/tool calling, structured output parsing, and multi-step agent reasoning.
- Knowledge of Java/Spring Boot.
- Understanding of LLM cost/performance trade-offs and basic prompt engineering.
- Bachelor’s degree in computer science, Engineering, or equivalent practical experience.
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
This is an exciting time to be a backend engineer. Traditional backend skills are still essential, but the ability to build production-grade AI systems (RAG + agents) is quickly becoming a core competency. You’ll work on cutting-edge AI features while applying timeless software engineering practices in a collaborative, high-impact environment.
Our Benefits Package Includes
- Fully remote position
- 4 weeks of vacation + 5 paid personal days annually
- Group insurance programs as of your first day, including access to telemedicine and an EAP
- Collective RRSP with matching contribution
- Internet reimbursement
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