Agentic AI Platform Engineer

85344
Ottawa, Ontario
Contract
3 months ago

Agentic AI Platform Engineer 

Overview

We are building a next-generation Agentic AI Platform to enable enterprise-scale adoption of autonomous AI systems across the bank.
We are seeking a hands-on Agentic AI Platform Engineer with deep experience in Python, Generative AI frameworks, and containerized deployments on Kubernetes (OCP, Azure, AWS).

This is a 100% coding role, focused on designing, developing, and deploying production-grade AI platform components — from LLM orchestration to secure, scalable, multi-agent systems.

Responsibilities

  • Design, code, and deploy Python-based microservices and frameworks enabling orchestration of LLM-driven agents.
  • Build and maintain containerized AI workloads using Docker and Kubernetes (OpenShift, EKS, AKS).
  • Develop APIs, SDKs, and Python libraries that power GenAI and agentic workloads across RBC business lines.
  • Implement end-to-end orchestration for agent workflows, integrating frameworks such as LangChain, Semantic Kernel, or Haystack.
  • Integrate and operationalize MCP-Context-Forge for context management, orchestration, and inter-agent communication.
  • Embed observability, monitoring, and governance into all platform services (Prometheus, Grafana, OpenTelemetry).
  • Ensure secure and compliant AI operations through Kubernetes-native policies, RBAC, and network isolation.
  • Collaborate closely with data scientists, AI researchers, and DevOps teams to productionize models and agent workflows.
  • Prototype, benchmark, and deploy LLM pipelines on multi-cloud environments (OCP, Azure, AWS).
  • Continuously enhance developer experience by contributing to internal Python SDKs, deployment automation, and CI/CD pipelines.

Required Qualifications

  • Expert-level Python developer — strong track record of building frameworks, SDKs, or orchestration systems.
  • Hands-on experience coding and deploying GenAI / LLM-powered applications using LangChain, Semantic Kernel, or custom agent frameworks.
  • Deep expertise in containerization and Kubernetes:
  • Proficient in Docker, Helm, and Kubernetes manifests (Deployments, Services, ConfigMaps, Secrets).
  • Experienced with OpenShift (OCP), Azure AKS, and/or AWS EKS for production-grade deployments.
  • Familiar with Kubernetes networking, security (RBAC, NetworkPolicies), and monitoring.
  • Strong understanding of CI/CD pipelines and automation tools such as GitHub Actions, ArgoCD, or Jenkins.
  • Familiarity with observability stacks (Prometheus, Grafana, Loki, OpenTelemetry).
  • Hands-on experience with microservices design, API development, and event-driven orchestration.
  • Solid understanding of LLM system design, context management, and retrieval-augmented generation (RAG) architectures.
  • Comfortable working across hybrid and multi-cloud environments with secure service connectivity.

    Preferred Qualifications

    • Experience developing Python SDKs, internal APIs, or developer tools for enterprise platforms.
    • Familiarity with model serving frameworks (KServe, Ray Serve, BentoML) and distributed AI orchestration.
    • Knowledge of service mesh architectures (Istio, Linkerd) and policy enforcement in Kubernetes.
    • Experience integrating MCP-Context-Forge or similar orchestration technologies.
    • Background in financial services, particularly in secure AI deployment or regulated environments.

    • The pay range that the employer reasonably expects to pay for this position is between CA$60.00 and CA$85.00

    Our voluntary benefits offering includes medical, dental, vision and retirement benefits.

    This posting is for an existing vacancy.

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    Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other  legally protected characteristics. We welcome and encourage diversity in the workplace.