Who Can Apply
- Candidates must be legally authorized to work in Canada
Job Description
Insight Global is seeking an AI Solutions Engineer with strong Python expertise to design and implement intelligent integrations to join a AAA Gaming Company. This role is highly technical and focuses on building scalable AI integrations, orchestration frameworks, backend services, and AI-powered workflows. The ideal candidate combines strong backend engineering skills with practical experience deploying AI-enabled applications in production.
Responsibilities:
-Design and implement intelligent integrations between applications and enterprise platforms.
- Build backend services and orchestration frameworks using Python.
- Create interfaces leveraging Model Context Protocol (MCP) and function-calling frameworks.
- Design schema-driven APIs and integration patterns.
- Develop and maintain AI automation pipelines and workflow orchestration services.
- Build context-aware AI functionality using RAG architectures and LLM-based systems.
- Implement and support AI evaluation frameworks and observability tooling.
- Design resilient service-to-service communication patterns.
- Deploy and maintain containerized applications and AI services in cloud environments.
- Contribute to MLOps and platform engineering initiatives.
Collaborate closely with engineering, platform, and AI teams to deliver production-grade solutions.
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
- 8+ years of software engineering experience with a strong focus on Python
- Experience supporting machine learning or MLOps ecosystems such as: Kubeflow, MLflow, SageMaker, Terraform
- Advanced experience developing RESTful APIs and OpenAPI/Swagger-based services
- Proven experience integrating external APIs and enterprise platforms
- Strong understanding of authentication and security frameworks including: OAuth2, JWT, secure credential management
- 1 year of experience with: Git, CI/CD pipelines, cloud deployment environments
- Experience utilizing observability and monitoring tools such as: Prometheus, Grafana, ELK Stack
- Working knowledge of: Docker, Kubernetes, ArgoCD, containerized deployments
- Familiarity with AI and RAG technologies including: embedding models, vector databases, Azure Cognitive Search, Pinecone, Weaviate
- Understanding of evaluation frameworks such as: Scikit-learn, PyTorch, TensorFlow
- Experience integrating AI models into production systems and contributing to AI pipeline design
Nice to Have Skills & Experience
- Experience working with MCP (Model Context Protocol).
- Experience with OpenAI integrations and enterprise AI platforms.
- Experience integrating AI solutions with platforms such as ServiceNow or Power Automate.
- Experience building and deploying at least one production chatbot or conversational AI application.
- Familiarity with enterprise automation and workflow platforms.
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.