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Sr. AI Engineer

ID: 9235

Type: Full-time

Category: Others

Company Name: Narvar

Location: Canada

Salary: 230 - 230K yearly

Education Level: Senior (5-10 years)

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Job Description

Senior AI Engineer 

We’re building Navi — Narvar’s agentic AI that automates post-purchase resolution for the world’s leading retailers.

Hundreds of millions of consumers interact with Narvar every year. Navi is our agentic AI that resolves delivery issues, returns, and refunds through natural conversation — powered by IRIS and 74 billion consumer touchpoints. 

We're looking for senior AI engineers to own this system end-to-end: architecture, model selection, production operations. You'll help decide what gets built and how.

What You’ll Work On

  • Design and build conversational AI agents for returns, claims, and customer service experiences
  • Own agent systems from architecture → implementation → evaluation → production operations
  • Build RAG / context graph retrieval pipelines that ground agent responses in real 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 — content moderation, hallucination detection, graceful fallbacks
  • Integrate conversational experiences across web, mobile, SMS, and email channels
  • Make real decisions around prompt design, model selection, latency/cost/quality tradeoffs, and failure modes
  • Collaborate with product, design, and ML teams to build systems that are technically sound and product-aware

What We’re Looking For

We care more about judgment and ownership than credentials.

You’re likely a strong fit if you:

  • Have shipped conversational AI or agent-based systems used by real users in production
  • Have built production systems on top of LLM APIs and agent frameworks — not just prompt playgrounds, but real integrations involving tool orchestration, context management, and reliability at scale
  • Have a point of view on model selection tradeoffs — when to use frontier APIs vs. open-weight models (Qwen, Llama, Mistral), and understand the cost, latency, privacy, and capability tradeoffs of each
  • Understand prompt engineering beyond basics: structured outputs, few-shot learning, chain-of-thought, tool calling
  • Have built context graph pipelines that go beyond naive retrieval — entity resolution, relationship modeling, and dynamic context assembly from structured and unstructured data
  • Have designed agent architectures that use function calling, tool execution, or multi-step reasoning
  • Have strong programming skills in Python or TypeScript
  • Have experience building and integrating APIs and backend services
  • Are comfortable reasoning about evaluation, safety, and reliability in non-deterministic systems
  • Take initiative naturally and are comfortable operating with ambiguity

Signals That You’ll Thrive Here

These aren’t hard requirements, but strong indicators:

  • You’ve worked in startup or high-ownership environments
  • You’ve built and operated AI systems in production, including monitoring and incident response
  • You’ve evaluated and iterated on LLM systems for accuracy, hallucination, latency, and cost
  • You’ve built or integrated MCP servers or similar tool-use infrastructure
  • You’ve influenced technical direction by earning trust, not by mandate
  • You use modern tooling (including AI-assisted development workflows) to increase leverage, not outsource thinking

(Note: we care about outcome and judgment, not how flashy your tools are.)

Why AI at Narvar?

Because post-purchase is one of the highest-leverage applications of conversational AI.

We’re building AI agents where:

  • The problem space is well-defined but complex — returns, claims, and support have clear business logic but messy real-world edge cases
  • Scale is real — hundreds of millions of consumer interactions per year across major global retailers
  • Impact is measurable — resolution rates, customer satisfaction, cost savings, not vanity metrics
  • The work is greenfield — you’re not maintaining a legacy chatbot, you’re building the next generation

You’ll help define where and how AI agents should operate, not just implement someone else’s spec.

Why Narvar ( from an Engineer's perspective?)

  • Real scale, real customers, real consequences
  • Startup-level ownership with platform-level impact
  • Teams that value thinking, judgment, and responsibility
  • Low ego, high trust, and room to do your best work

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

#LI-Remote

Below is the estimated annual salary for this position and does not include the other components that make up a Narvar offer including: annual bonus, equity, and benefits.
The range reflects the minimum and maximum target for new hire salaries for the position across the US. Within the range, individual compensation packages are based on factors unique to each candidate, including but not limited to, skill set, education and certifications, and work location. 
Narvar Pay Range
$180,000$230,000 CAD

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Company Information

Company Name: Narvar

Company Website: https://www.narvar.com

Company Address: San Francisco, CA, USA

Narvar is a technology company that operates a software-as-a-service (SaaS) platform focused on the post-purchase experience for retail and e-commerce brands. The company’s offerings are designed to help retailers manage and improve every customer touchpoint after checkout, turning order fulfillment, tracking, delivery and returns into opportunities to reinforce brand identity, reduce friction, and increase customer lifetime value. Narvar’s platform is positioned at the intersection of retail operations, customer communications, logistics visibility and data analytics, providing retailers with tools to communicate proactively with buyers, facilitate self-service, and gather operational intelligence across carriers and fulfillment networks. At its core, Narvar provides a suite of products and services that together form a post-purchase experience platform. Key capabilities include branded order tracking pages and portals that allow shoppers to see real-time shipment status and detailed delivery information; multi-channel proactive notifications (email, SMS, in-app and other channels) that keep customers informed about order status and estimated delivery windows; and returns management and self-service portals that simplify initiating returns, exchanges, and refunds. The platform emphasizes brand-controlled, white-label experiences so that retailers can maintain consistent visual and messaging standards across tracking pages and return flows rather than sending customers to carrier-branded or generic pages. Narvar’s product set typically includes: tracking and delivery visibility, a unified communications layer for transactional notifications, a returns and exchanges solution with configurable rules and self-service options, and analytics and insights dashboards that surface operational metrics such as delivery performance, return rates, refund timing, and customer engagement with post-purchase communications. The platform supports integrations with major e-commerce platforms, order management systems, warehouse management systems, and shipping carriers, enabling Narvar to aggregate carrier tracking events, map them to orders, and present a consolidated view for both merchants and consumers. The platform is delivered as a scalable cloud service accessible through a combination of configurable web portals, embeddable widgets, APIs and mobile-friendly pages. Retailers typically implement Narvar to reduce support center volume by empowering customers with self-service visibility and returns tools, to increase repeat purchases via targeted cross-sell and post-purchase messaging, and to reduce the operational friction and cost associated with returns processing. Narvar’s APIs enable merchants and technology partners to programmatically create, update and manage order and return flows, while built-in connectors and carrier integrations simplify the technical work of ingesting tracking events and reconciling shipment states. A central element of Narvar’s value proposition is its emphasis on the entire post-purchase lifecycle rather than isolated functions. Rather than only providing tracking links or a returns portal, the company positions its platform as an integrated way to orchestrate communications and experiences that influence customer sentiment and retention after purchase. This includes configurable rules for when and how to send notifications, the ability to present curated content and offers on tracking pages, and workflows to automate refunds and exchanges in ways that align with a merchant’s policies. The combined approach aims to reduce customer anxiety about delivery, shorten time-to-refund for returns, and convert potentially negative return interactions into opportunities to retain customers. In addition to merchant-facing functionality, Narvar provides analytics and reporting capabilities that help retail operations and customer experience teams measure the performance of post-purchase flows. Typical analytics cover delivery timeliness, percentage of on-time deliveries, carrier performance comparisons, return reasons and trends, and engagement metrics for transactional messages and tracking pages. These insights enable retailers to identify systemic logistics problems, adjust carrier selection or routing strategies, and iterate on return policies and communications to reduce costs and improve satisfaction. Narvar’s platform is used by a range of retail brands to support both domestic and international commerce, accommodating multiple languages, currencies and country-specific returns workflows. The company’s technology is designed to handle scale—from high-volume peak shopping periods to complex multi-leg international shipments—by centralizing event handling and orchestrating communications and operations across disparate systems. Implementation models vary by customer need and technical maturity. Narvar supports direct integration via APIs for merchants with in-house engineering teams, as well as pre-built connectors for popular e-commerce and retail platforms. The company also offers professional services and support to assist with onboarding and configuration so that merchants can align post-purchase experiences with their brand standards and customer service policies. On the business side, Narvar operates as a technology vendor to enterprise and mid-market retailers, positioning its platform as a way to both reduce operational costs associated with post-purchase support and to generate incremental revenue or loyalty through improved customer experiences. The company frequently highlights post-purchase experience as a competitive differentiator in retail, arguing that consistent, transparent and branded post-purchase communications can materially influence customer perception and repeat purchase behavior. Overall, Narvar is best described as a retail technology company that provides a specialized SaaS platform for post-purchase experience management. Its primary products are tracking and delivery visibility tools, multi-channel notification systems, returns and exchanges management, and analytics for measuring post-purchase performance. The platform’s emphasis on brand control, systems integrations, and operational analytics positions it as a tool for retailers seeking to professionalize and monetize the post-purchase phase of commerce.
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