Java Engineer building scalable, maintainable software for organizations at LT. Coaching client teams and using test - driven development within a collaborative engineering team.
About the role
- Intermediate Backend Software Developer designing and building scalable backend infrastructure for AI features at Triton Digital. Collaborating with engineering teams to deliver efficient backend services and integrations.
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.
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.
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
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