Python AI Backend Engineer
Summary
Build enterprise-grade GenAI applications in Python using FastAPI, LangChain, RAG, and MCP servers, deploying on cloud platforms with Docker and CI/CD.
Full Job Description
Role: Python AI Backend Engineer
Location: Mississauga, ON (Hybrid)
Top/Required Skills: Python, FastAPI, System Design, End-to-End Software Development, REST APIs, Component-Based Architecture, MCP Servers, Google ADK, LangChain, RAG (Retrieval-Augmented Generation), PySpark, PostgreSQL, Docker, CI/CD Pipelines, Agentic AI / GenAI, AI Backend Development.
Looking for a hands-on Python AI Backend Engineer capable of building enterprise-grade GenAI applications from end to end.
Responsibilities
- Design, develop, test, and support Python-based applications and services.
- Build and maintain REST APIs, microservices, and event-driven integrations.
- Participate in the full software development lifecycle, including design, coding, testing, deployment, and support.
- Build AI-powered backend services.
- Design scalable APIs.
- Develop reusable components.
- Build RAG-based applications.
- Integrate MCP servers.
- Deploy applications using containerized environments.
Must-have Skills
- 5+ years Software Engineering with Python
- End-to-End Software Development (Full SDLC)
- System Design
- Python
- FastAPI / Flask
- REST APIs & Microservices
- System Design & Component-Based Architecture
- LangChain / RAG (Retrieval-Augmented Generation)
- MCP (Model Context Protocol) / MCP Servers
- Google ADK
- Agentic AI / GenAI / LLM Applications
- PySpark
- PostgreSQL / SQL
- Docker / Containerization
- CI/CD Pipelines
- Linux
- Event-Driven Architecture / Kafka / MQ
- Cloud Platforms (AWS / Azure / GCP)
- Banking / Financial Services Domain (Preferred)
Education
- Bachelor's degree/University degree or equivalent experience in a STEM-related field.
- Advanced degree preferred.