Intermediate Backend Software Developer

Triton Digital Canada Inc.

3d • Remote

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

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.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 101-250 employees