Senior AI Platform Software Engineer - INTL India

Post Date

Jul 16, 2026

Location

Vancouver,
British Columbia

ZIP/Postal Code

V5T 1
Canada
Sep 15, 2026 Insight Global

Job Type

Contract-to-perm

Category

Software Engineering

Req #

VAN-bf5672fc-d22d-4eb0-ac4e-f5fb8e512a75

Pay Rate

$20 - $25 (hourly estimate)

Who Can Apply

  • Candidates must be legally authorized to work in Canada

Job Description

Insight Global is seeking a Senior Software Engineer to help scale and technically own the broader AI Operations platform for a AAA Gaming Company. This individual will serve as a senior technical leader responsible for platform architecture, engineering standards, roadmap development, and hands-on software development. The ideal candidate brings extensive experience building large-scale backend platforms and has practical expertise deploying Generative AI solutions in production environments.

Responsibilities:
- Lead the evolution and scalability of the organization's AI Operations platform.
- Establish and enforce engineering standards, best practices, and architectural patterns.
- Perform hands-on software development, primarily focused on backend platform engineering.
- Design and implement integrations with enterprise systems and cloud infrastructure.
- Build and maintain APIs, services, and event-driven architectures.
- Develop AI platform capabilities including: RAG systems, Prompt management, Hallucination detection, Version management, AI evaluation frameworks, Improve platform reliability, observability, monitoring, and QA processes.
- Design and maintain CI/CD pipelines using tools such as GitLab and ArgoCD.
- Collaborate with globally distributed teams to define technical roadmaps and delivery strategies.
- Mentor engineers through design reviews, code reviews, debugging sessions, and technical leadership.
- Drive operational excellence and production readiness across the platform.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Required Skills & Experience

- 10-12 years of software engineering experience building and operating: Large-scale backend platforms, distributed systems, developer platforms, enterprise internal tools, automation platforms
- Previous experience programming from scratch with Python as well as doing feature enhancements
- 2+ years of practical Generative AI experience, including: Building and shipping AI-powered applications, LLM integrations, RAG architectures, vector databases, hybrid search, and building and implementing chatbots
- Experience implementing ArgoCD, GitLab CI/CD, understanding of how containers are built, and deployment automation
- Familiarity with EKS and cloud-native application deployment
- Experience designing secure enterprise integrations with strong focus on: Identity management, permissions, auditability, security, operational safety
- Demonstrated ability to influence technical direction and mentor engineering teams
- Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience

Nice to Have Skills & Experience

- Deep understanding of: Kubernetes, API design and architecture, event-driven systems, message queues, PostgreSQL and data storage systems, caching technologies, CI/CD pipelines, telemetry and distributed tracing
- Strong understanding of reliability and resiliency patterns including: Retries, idempotency, circuit breakers, rate limiting, asynchronous processing, failure isolation, incident response

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.