Backend Developer - Python / AI (ID#5520)

New Value Solutions; Toronto; Hybrid; CAD 96,000 - 165,000; Full time

Job summary

New Value Solutions, a national IT consulting company in Canada, seeks a Senior Backend Developer to own backend architecture for two AI-native products. You will design scalable APIs with Python/FastAPI, build LLM-powered features, and manage multi-tenant PostgreSQL schemas.

You will join a small senior team in a hybrid Toronto setup, starting with a 3-month contract with potential for full-time. 7+ years of backend experience and strong cloud/CI/CD practices are required.

Qualifications

• 7+ years of backend software engineering experience.
• 3+ years building production Python services, preferably FastAPI.
• Hands-on experience with LLM-powered features or agent systems.
• Strong PostgreSQL and relational database design and tuning.
• Experience with multi-tenant SaaS, RBAC and authorization concepts.
• Proven Docker, Kubernetes, CI/CD and IaC in production.
• Familiarity with AI tooling and modern development workflows.

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 and agent-based tooling.
• Design PostgreSQL schemas, migrations, and data access layers.
• Maintain secure, scalable multi-tenant services and real-time data processing.
• Support deployment and operations including CI/CD and cloud infra.
• Maintain engineering practices around testing, docs, security and quality.

Skills

Backend architecture

Python

FastAPI

LLM-powered features

Agent systems

RBAC

Documentation

Communication

Tools

Docker

Kubernetes

CI/CD

Terraform/IaC

gRPC/Protobuf

PostgreSQL

Cloud infrastructure

AI tooling

Job description

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.