Sr. AI Engineer

1 hour, 53 minutes ago
Full-time
Senior
Software Development
Narvar

Narvar

Narvar is an intelligent post-purchase platform that builds loyalty through personalized experiences and smart actions, empowering brands to create lifelong customer relationships.

Media
251-1K
Founded 2012
$64M raised

Description

  • Design and build conversational AI agents for returns, claims, and customer service experiences.
  • Own agent systems end to end from architecture and implementation through evaluation and production operations.
  • Build RAG and context graph retrieval pipelines that ground agent responses in company and customer data.
  • Design agent orchestration for multi-step workflows that interact with identity, risk, order, and loyalty systems.
  • Create evaluation frameworks to measure task completion, accuracy, safety, and user satisfaction.
  • Implement guardrails and safety mechanisms such as content moderation, hallucination detection, and graceful fallbacks.
  • Integrate conversational experiences across web, mobile, SMS, and email channels.
  • Make decisions on prompt design, model selection, and latency, cost, and quality tradeoffs.
  • Collaborate with product, design, and ML teams to build technically sound and product-aware systems.
  • Help define where and how AI agents should operate in the post-purchase workflow.

Requirements

  • Shipped conversational AI or agent-based systems used by real users in production.
  • Built production systems on top of LLM APIs and agent frameworks with tool orchestration, context management, and reliability at scale.
  • Have a point of view on model selection tradeoffs, including frontier APIs versus open-weight models such as Qwen, Llama, and Mistral.
  • Understand prompt engineering beyond the basics, including structured outputs, few-shot learning, chain-of-thought, and tool calling.
  • Built context graph pipelines involving entity resolution, relationship modeling, and dynamic context assembly from structured and unstructured data.
  • Designed agent architectures using function calling, tool execution, or multi-step reasoning.
  • Strong programming skills in Python or TypeScript.
  • Experience building and integrating APIs and backend services.
  • Comfortable reasoning about evaluation, safety, and reliability in non-deterministic systems.
  • Take initiative naturally and are comfortable operating with ambiguity.
  • Experience working in startup or high-ownership environments is a strong signal.
  • Experience building and operating AI systems in production, including monitoring and incident response, is a strong signal.
  • Experience evaluating and iterating on LLM systems for accuracy, hallucination, latency, and cost is a strong signal.
  • Experience building or integrating MCP servers or similar tool-use infrastructure is a strong signal.
  • Modern AI-assisted development workflows are a plus when used to increase leverage rather than outsource thinking.

Benefits

  • Annual base salary range of $180,000 to $230,000 CAD.
  • Annual bonus eligibility.
  • Equity as part of the offer.
  • Benefits included in the compensation package.
  • Remote-first position (#LI-Remote).
  • Startup-level ownership with platform-level impact.
  • Opportunity to work on real scale and real customers with measurable impact.

Interested in this position?

Apply directly on the company website

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