---
title: 'Staff Agentic AI Engineer - Marketing at Netomi'
canonical: 'https://feeny.ai/job/staff-agentic-ai-engineer-marketing-netomi-toronto-north-9pjdc7ka05zr'
type: 'job'
last_seen: '2026-09-11'
---

# Staff Agentic AI Engineer - Marketing at Netomi

- **Company:** Netomi
- **Location:** Toronto/north, United States
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-09-09
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.lever.co/netomi/60fa8c9b-e031-476e-a9d3-011966c4b495

## Job description

About the Company: Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, MGM, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences.

Want to be part of the AI revolution and transform how the world’s largest global brands do business? Join us!

Responsibilities:

- Design, build, and improve production-grade AI agentic systems that optimizeweb-based and chat-based experiences leveraging grounded, structured data
- Architect agent workflows involving reasoning, tool use, retrieval, guardrails, escalation paths, and performance monitoring
- Evaluate Deep Agent, Claude Agent, OpenAI Agent, LangGraph, and other emerging agent orchestration patterns and frameworks for marketing-oriented use cases
- Build and maintain LLM evaluation systems, including LLM-as-judge workflows, regression evals, guardrail testing, quality metrics, and production behavior analysis
- Diagnose agent performance issues across prompts, tool selection, retrieval quality, latency, cost, task completion, and failure modes
- Design and implement RAG and embedding-based capabilities for enterprise knowledge access and automation workflows
- Build scalable Python services and platform components deployed in AWS cloud environments
- Partner with product, platform, and engineering teams to translate emerging agentic AI capabilities into reliable platform features
- Establish engineering best practices for continuous optimization of agentic systems
- Stay current with advances in LLMs, agent architectures, AI coding tools, eval methodologies, retrieval systems, and enterprise automation

Requirements:

- Bachelor’s Degree or higher in a quantitative field (Statistics, Computer Science, Engineering, Mathematics)
- 5-7+ years of experience in AI/ML engineering, applied machine learning, natural language processing, and/or AI systems development
- 3-5 years of experience in applying AI, data science, and machine learning in the marketing space
- Experience leveraging data from Adobe Experience Platform, AdobeCommerce/Magento, Adobe Real-time CDP, Adobe Target, and/or AdobeAnalytics/Customer Journey Analytics for data science modeling and performance analysis
- Strong Python engineering skills and experience building scalable production software systems
- Hands-on experience with LangGraph, LangChain, or related agent orchestration frameworks
- Strong understanding of RAG, embeddings, retrieval quality, and knowledge-grounded generation
- Experience deploying or operating systems in AWS cloud environments
- Daily use of AI coding tools such as Codex, Claude Code, Cursor, or similar tools as part of software development workflows
- Strong engineering judgment, ability to work independently, and comfort operating as a senior individual contributor on ambiguous technical problems

Preferred Qualifications:

- Master’s Degree or higher in a quantitative field (Statistics, Computer Science,Engineering, Mathematics)
- Experience building or using knowledge graphs for enterprise knowledge modeling,retrieval, reasoning, or personalization
- Hands-on experience building production LLM or AI agent systems
- Experience designing agent architectures involving tool use, reasoning flows, retrieval, memory, guardrails, and workflow orchestration
- Experience developing AI evaluation systems, including LLM-as-judge, guardrail evaluation, regression testing, and production quality measurement
- Experience with enterprise automation platforms, customer experience systems, workflow automation, or AI-powered business process automation
- Experience with observability and tracing for LLM or agent systems
- Experience optimizing agent systems for latency, cost, reliability, safety, and task success
- Experience with vector databases, search infrastructure, model routing, caching, ormulti-model architectures

Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.

## About Netomi

## Company Overview
- **One-liner**: Netomi is an enterprise agentic AI platform that powers autonomous customer experiences across chat, email, and voice for the world’s most demanding brands.
- **Entity Type**: Private (Series C, $110M raised in April 2026)
- **Headquarters**: San Mateo, California, United States
- **Founded**: 2016
- **Founders**: Puneet Mehta

## Core Business
- **Primary industry**: Enterprise AI / Customer Experience (CX) – Agentic AI platform
- **Target customers**: B2B, large enterprises (Fortune 500) with complex, high-volume customer service needs
- **Mission or purpose**: To be the intelligence layer for digital experiences, enabling brands to deliver effortless, outcome-driven customer journeys by embedding AI directly into every touchpoint.

## Products & Services
- **Netomi Agentic AI Platform**: A full-stack agentic AI solution that autonomously resolves customer issues across chat, email, and voice. It includes an Agentic Studio for building and governing AI agents, multi-layer observability, and deterministic controls. The platform moves AI upstream to engage customers before problems reach support.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (private company)
- **Key Metric**: Annual Revenue of $47.3M (latest fiscal year); Total Funding of $147.5M (across 5 rounds, including $110M Series C in April 2026)
- **Notable Investors/Partners**: WndrCo, Accenture Ventures, Adobe Ventures (Adobe features Netomi on its homepage); strategic integrations with Microsoft (Azure, Dynamics 365, Marketplace)
- **Growth Signals**: 23.2% year-over-year headcount growth (215 employees); 190% increase in job postings year-over-year; major customer wins include Delta Air Lines, United Airlines, MetLife, Paramount, DraftKings, NBA, Ingram Micro; deep integration with Adobe and Microsoft ecosystems.

## Competitive Advantages
- **Deterministic governance with agentic autonomy**: Unlike many AI platforms, Netomi combines autonomous decision-making with strict business rules, governance, and observability – critical for regulated industries.
- **Proven at massive scale**: Deployed in the highest-stakes environments (airlines, finance, sports) with full resolution and no escalation.
- **Embedded, not bolted-on**: AI is woven into the customer journey across all digital assets, enabling proactive and preemptive experiences rather than reactive support.
- **Strong partner ecosystem**: Backed by Adobe Ventures and Accenture, with deep integrations into Adobe Experience Cloud and Microsoft Azure/Dynamics 365.

## Strategic Focus
- **Current priorities**: Scaling enterprise adoption of agentic AI for CX; deepening integrations with Adobe and Microsoft; expanding into new verticals and geographies; building out the “Agentic Delivery” team to accelerate deployment.
- **Direction**: Moving from “AI as a feature” to “AI as the fabric of the experience” – embedding intelligence across every brand touchpoint.

## Why Work Here
- **Culture**: Strong culture score (4.7/5 on employer reviews), high career development rating (4.8/5). Emphasis on innovation, autonomy, and impact.
- **Remote/hybrid policy**: Remote-first for many roles; offices in San Mateo (HQ), Toronto, Canada; Gurugram, India. Open positions explicitly list “Remote – Full-time” for India and Canada.
- **Notable perks**: Opportunity to work on cutting-edge agentic AI at scale with top-tier enterprise clients; strong emphasis on learning (leadership from Adobe, Accenture); diverse, global team (57% India, 13% US, 11% Canada).
- **Engineering culture**: Heavy investment in AI, data science, and infrastructure (tech stack includes Python, Kotlin, TensorFlow, Snowflake, Kubernetes, etc.). Open roles in product engineering, data science, QA, DevOps, and agentic solutions.

## Sources
1. [netomi.com](https://www.netomi.com/) – Company homepage, product overview
2. [jobs.lever.co/netomi](https://jobs.lever.co/netomi) – Careers page, job listings, remote policy
3. [netomi.com/careers](https://www.netomi.com/careers) – Careers overview
4. [netomi.com/about](https://www.netomi.com/about) – About page, mission, investors
5. [linkedin.com/company/netomi](https://linkedin.com/company/netomi) – LinkedIn company page (employees, funding, customer logos, recent posts)
6. [craft.co/netomi](https://craft.co/netomi) – Company profile with revenue, funding, headcount, tech stack, reviews

## Other roles at Netomi

- [Principal Account Manager, Strategic Accounts](https://feeny.ai/job/principal-account-manager-strategic-accounts-netomi-new-york-9xdxcvawr43a) — New York, NY
- [Agentic Engineer Level II/III](https://feeny.ai/job/agentic-engineer-level-ii-iii-netomi-india-xrgfgs7ng3sw) — India
- [Principal Customer Architect](https://feeny.ai/job/principal-customer-architect-netomi-remote-82hd76vq52pw)
- [Senior Customer Architect](https://feeny.ai/job/senior-customer-architect-netomi-remote-t9bfx55s9se0)
- [Human Resources Business Partner](https://feeny.ai/job/human-resources-business-partner-netomi-san-mateo-zazwxq53x6hw) — San Mateo, CA
- [SDE II - Frontend](https://feeny.ai/job/sde-ii-frontend-netomi-gurugram-hp43kpgfwsd5) — Gurugram, India
- [Prompt Engineer](https://feeny.ai/job/prompt-engineer-netomi-toronto-6bkf0z5ws2ec) — Toronto, Canada
- [Senior Data Scientist (Agentic Solutions)](https://feeny.ai/job/senior-data-scientist-agentic-solutions-netomi-india-1ktbq7209sgv) — India
- [UX Researcher](https://feeny.ai/job/ux-researcher-netomi-toronto-21946wcw7745) — Toronto, Canada
- [Staff Product Designer](https://feeny.ai/job/staff-product-designer-netomi-gurugram-4vmt7jfj8yak) — Gurugram, India