Triton Digital

Software Developer, Mid-level

Triton Digital

full-time

Posted on:

Location Type: Remote

Location: Canada

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Tech Stack

AWSAzureDjangoDockerFlaskGoogle Cloud PlatformGrafanaGraphQLKafkaKubernetesMicroservicesNoSQLPrometheusPythonRabbitMQTypeScript

About the role

  • Design, develop, and maintain scalable RESTful/GraphQL APIs and microservices for our AI chatbot and other backend systems
  • Implement multi-agent AI systems using frameworks such as LangChain/LangGraph (or equivalent): multi-agent orchestration, tool calls to external APIs, reasoning loops, and memory/state management
  • Integrate third-party LLM providers and manage prompt engineering, rate limiting, cost optimization, and fallback logic
  • Develop and optimize RAG (Retrieval-Augmented Generation) pipelines: document ingestion, embedding generation, vector search/retrieval, and contextual response generation
  • Work with 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, asynchronous processing)
  • Write clean, testable, and well-documented code; actively participate in code reviews, architectural discussions, and agile ceremonies
  • Collaborate closely with other engineering teams and product stakeholders to deliver end-to-end features.

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), including serverless architectures, containers (Docker), and basic orchestration (Kubernetes or equivalent)
  • Practical knowledge of AI integration concepts: large language models (LLMs), embeddings, vector search, RAG patterns, and basic tool-calling techniques
  • Strong software engineering skills: clean code, testing (unit and integration), CI/CD, Git, and agile methodologies
  • Excellent problem-solving skills and the ability to decompose complex AI-related requirements into robust backend solutions
  • Proficiency in English communication*. French is a plus.
Benefits
  • 4 weeks of vacation + 5 personal days annually
  • Group insurance programs starting on your first day, including access to telemedicine and an Employee Assistance Program (EAP)
  • Company holiday shutdown
  • Group RRSP with employer contributions available from your first day
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonFastAPIDjangoFlaskRESTful APIsGraphQLNoSQL databasesRAG (Retrieval-Augmented Generation)CI/CDGit
Soft Skills
problem-solvingcollaborationcommunication