About The Company

Our hiring partner helps enterprises and high-growth startups adopt advanced AI capabilities without overhauling their existing systems. They work with clients across a variety of industries to turn AI potential into practical, production-ready solutions. 

The team combines deep technical expertise with internal frameworks to speed development, ensure reliable deployment, and integrate AI seamlessly into clients’ existing technology. They’re tackling the challenge many organizations face when implementing AI at scale and are looking for engineers who want to make a real impact. 

If you enjoy designing foundational AI infrastructure, solving complex technical problems, and collaborating with diverse teams, this could be a great fit. 

What You’ll Do 

As an AI Architect, you’ll help shape the backbone of our AI systems. You’ll design, build, and maintain both backend services and orchestration layers that support intelligent workflows, including AI agents and retrieval-augmented generation (RAG) pipelines. 

You’ll work closely with engineering, AI, and operations teams to ensure the platform is scalable, reliable, and easy to integrate with a variety of tools and services. 

Your Day-to-Day 

• Design and implement Python-based backend services for AI applications 
• Build scalable APIs that connect with LLMs, vector databases, and internal tools 
• Develop orchestration logic to support multi-step AI workflows 
• Optimize system performance, latency, and scalability 
• Collaborate with frontend, AI, and DevOps teams to ensure overall platform stability and monitoring 
• Maintain strong testing, deployment, and CI/CD practices for backend services 
• Contribute to flexible architecture for AI agent workflows 
• Stay up to date with trends in AI infrastructure, LLM integrations, and backend system design 
• Provide guidance and mentorship to engineers on best practices and architecture decisions 

Who We’re Looking For 

We’re seeking engineers with deep full-stack expertise who enjoy designing scalable systems and tackling complex challenges in AI infrastructure. 

Experience & Skills 

• 8+ years of software engineering experience, with at least 3 years building backend systems in Python 
• Experience building production-grade APIs with frameworks such as FastAPI or Flask 
• Familiarity with AI orchestration tools and LLM APIs 
• Knowledge of vector databases, embeddings, and RAG concepts 
• Experience integrating services with web applications, CLI tools, and third-party APIs 
• Comfortable with modern development workflows, including GitHub, Docker, and CI/CD pipelines 
• Ability to write maintainable, well-tested, and well-documented backend code 
• Proven ability to lead technical initiatives or influence architecture decisions 

Additional Assets 

• Experience with cloud platforms (AWS, GCP, Azure) 
• Familiarity with observability, monitoring, or tracing tools for AI systems 
• Experience building end-to-end AI or agent-based systems 
• Background mentoring engineers or defining technical standards 
• Experience designing multi-tenant or platform-level AI infrastructure 
• Comfort presenting technical concepts to leadership or clients
• Contributions to open-source AI/ML projects

Compensation: CAD 215,000-250,000