AI Software & Platform Engineer

Level: L3

Location: Toronto, Canada (Remote)

About LatentView

LatentView Analytics is a global data analytics and AI solutions company that partners with Fortune 500 and high-growth clients to turn data into competitive advantage. Our teams combine deep technical expertise with business context to ship measurable outcomes — not just models and dashboards — across industries.

Role Overview

We are looking for an AI Software & Platform Engineer to help build, deploy, operate, and integrate AI-powered applications and services.

The ideal candidate is a strong software/platform engineer with significant hands-on experience in Python, Kubernetes, Docker, backend systems, and production environments . The role sits at the intersection of software engineering, platform engineering, AI infrastructure, and data engineering . We are therefore looking for engineers with strong technical fundamentals who can learn current technologies quickly and adapt their skills as project requirements evolve.

Key Responsibilities

- Build and maintain backend services supporting AI-powered applications.
- Develop APIs and integrations between applications, services, and data systems.
- Containerize and deploy applications using Docker and Kubernetes.
- Develop and maintain CI/CD workflows.
- Support application deployment, monitoring, reliability, and troubleshooting.
- Work with engineering teams to improve scalability, reliability, and operational efficiency.
- Integrate AI agents and LLM-powered applications with backend services and data sources.
- Develop and maintain data integrations and pipelines as project needs evolve.




- Troubleshoot issues across application, infrastructure, and data layers.
- Contribute to engineering standards, automation, and operational best practices.
- Learn new technologies, frameworks, and platforms as required.

Required Skills

Software Engineering

- 4–10 years of professional engineering experience.
- Strong hands-on experience with Python .
- Experience developing backend services and APIs.
- Strong understanding of software engineering fundamentals.
- Experience with:
- Git
- Testing
- Debugging
- API development
- Production software
- System integration

Platform Engineering
- Strong hands-on Kubernetes experience.
- Strong experience with Docker and containerized applications.
- Experience deploying and operating production applications.
- Good understanding of:
- Kubernetes workloads
- Deployments
- Services
- Configuration
- Resource management
- Troubleshooting
- Experience with CI/CD pipelines.
- Familiarity with monitoring, logging, and observability.

AI / Agent Exposure Hands-on experience with or familiarity with:
- LLM applications
- AI agents
- RAG
- Tool/function calling
- AI application deployment

Data Engineering Fundamentals
- Strong SQL skills.
- Experience working with structured and semi-structured data.
- Understanding of ETL/ELT concepts.




- Experience building, maintaining, or supporting data pipelines.
- Understanding of databases and data integration.

Preferred Skills
- Kubernetes at scale
- Infrastructure as Code
- Terraform or equivalent
- Distributed systems
- Microservices
- Workflow orchestration
- Cloud platforms
- Data processing frameworks
- Event-driven architectures
- Streaming technologies
- Observability and tracing
- Security and IAM
- AI/ML infrastructure
- Agent orchestration frameworks

What We Value Strong Learning Agility The role will involve technologies and systems that candidates may not have previously encountered.

We are looking for engineers who can:

- Quickly understand unfamiliar technical environments.
- Learn new infrastructure and deployment technologies.
- Transfer experience from existing platforms to new environments.
- Work independently through technical documentation.
- Troubleshoot complex production problems.
- Develop new skills as the team's needs evolve.
- Transition across software, platform, AI, and data engineering responsibilities when required.

Base pay range : $126,000 CAD – $144,000 CAD annually. This range reflects base salary only — it excludes Incentive and benefits — and is a good-faith estimate for this level and location that may vary based on experience, skills, and where the role is performed. Communication : This role requires fluent spoken and written English to communicate directly with client stakeholders — a job-related requirement of the client-facing work itself, not of any candidate's background or origin.

📌 AI Software & Platform Engineer (Toronto)
🏢 LatentView Analytics
📍 Toronto