Backend Developer - Python / AI (ID#5520)

New Value Solutions, a national IT consulting company, is seeking a Senior Backend Developer to support the development of two pre-launch, AI-native software products. This is a hands-on senior individual contributor role with significant ownership of backend architecture, development, deployment, and ongoing operations.

The successful candidate will bring strong production Python experience together with practical experience building LLM-powered applications and agent-based systems. You will work as part of a small senior team using AI-assisted development tools as part of the day-to-day engineering workflow.

This opportunity is expected to begin as a 3-month contract/fractional engagement, with the potential to move into a permanent full-time position. Candidates must be located in the Greater Toronto area. The role is a hybrid working arrangement.

Responsibilities

• Own backend architecture and development across two AI-native products.
• Design and develop scalable APIs and backend services using Python and FastAPI.
• Build and enhance LLM-powered features, including tool-calling agents, agent routing, conversation memory, structured outputs, and RAG.
• Design and maintain PostgreSQL databases, schemas, migrations, and data access layers.
• Build secure, scalable multi-tenant services and real-time/data-processing capabilities.
• Support production deployment and operations, including CI/CD and cloud infrastructure.
• Maintain strong engineering practices around testing, documentation, security, and code quality.

Requirements

• 7+ years of backend software engineering experience.
• 3+ years of experience building production Python services, ideally using FastAPI or similar asynchronous frameworks.
• Hands-on experience developing LLM-powered product features or agent systems, beyond basic API integration.
• Strong PostgreSQL and relational database experience, including schema design, migrations, indexing, and query performance.
• Experience developing multi-tenant SaaS applications, including authorization, tenant isolation, and RBAC.
• Production experience with Docker, Kubernetes, CI/CD, and infrastructure-as-code.
• Regular hands-on use of AI development tools such as Claude Code, Cursor, GitHub Copilot, or similar.
• Strong written communication and documentation skills.
• Experience with Go, Temporal or similar workflow engines, RAG/vector search, real-time systems, and gRPC/Protobuf would be considered an asset.