Artificial Intelligence Engineer

Job summary

Design, build, and deploy Python-based AI/LLM applications, REST APIs, enterprise solutions, and AI-powered analytics platforms. Optimize data pipelines, collaborate with Risk stakeholders, and provide architectural guidance and technical leadership while mentoring engineering teams.

Job details

Job title: AI Engineer Job location: Mississauga, Canada(Hybrid) Job Type: Full Time Job description: Experience: 8+ Years Key Responsibilities Design, build, and deploy Python-based AI/LLM applications using FastAPI/Flask. Develop REST APIs and scalable enterprise solutions. Build AI-powered data analytics and self-service platforms. Optimize data pipelines for performance and scalability. Collaborate with Risk stakeholders to deliver AI-driven solutions. Provide technical leadership, architecture guidance, and mentor engineering teams. Required Skills Strong Python development with FastAPI or Flask. Experience building production-grade AI/LLM applications. Solid SQL, data modeling, and data engineering fundamentals. Expertise in concurrency, asynchronous programming, and performance optimization. Experience with testing, production support, and system reliability. Strong architectural design and technical leadership skills. Preferred Skills Agentic AI, RAG, LangChain/LangGraph, or Talk-to-Data solutions. Docker, Kubernetes, Kafka, Redis. OpenTelemetry, Grafana, Prometheus. CI/CD (Jenkins, GitHub Actions), DevOps/GitOps. Qualifications Bachelor's/Master's in Computer Science or equivalent. 8+ years of software engineering experience.

What you’ll do

Design, build, and deploy Python-based AI/LLM applications, REST APIs, enterprise solutions, and AI-powered analytics platforms. Optimize data pipelines, collaborate with Risk stakeholders, and provide architectural guidance and technical leadership while mentoring engineering teams.

Requirements

Requires 8+ years of software engineering experience, strong Python development with FastAPI or Flask, and experience building production-grade AI/LLM applications. Candidates should have solid SQL, data modeling, and data engineering fundamentals, along with expertise in asynchronous programming, performance optimization, testing, production support, system reliability, and technical leadership; a bachelor's or master's degree in Computer Science or equivalent is required.

Listed skills

• SQL · Preferred
• Architectural Design · Preferred
• REST APIs · Preferred
• Python · Preferred
• Flask · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• FastAPI
• Flask
• AI/LLM Applications
• REST APIs
• SQL
• Data Modeling
• Data Engineering
• Asynchronous Programming
• Concurrency
• Performance Optimization
• System Reliability
• Architectural Design
• Technical Leadership
• RAG
• LangChain/LangGraph

Job areas

• Technology
• Software
• Data & Analytics
• Engineering
• Finance & Accounting

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