Postuler

Publié il y a 3 jours

Software Engineer (AI Agents)

@ Fluent, LLC

Toronto, Ontario

TélétravailTemps plein3+ ans d’expérience
Postuler
SIGNAUX

En bref

Fluent, LLC is hiring a full-time Software Engineer for AI Agents to build production agents and automated workflows on the Databricks lakehouse. The role owns workflows from business scoping through deployment and monitoring, with weekly demos and a fully remote arrangement in the United States. The posting gives a salary range of $130,000 to $155,000 CAD plus a competitive bonus, and occasional travel to New York headquarters.

Responsabilités :

  • Ship production AI agents and automated workflows from a business-validated backlog
  • Build Unity Catalog tables, Lakeflow pipelines and Genie spaces in Databricks
  • Make agent quality measurable with evaluation sets, drift tracking and monitoring
  • Integrate systems through APIs, webhooks, MCP servers and orchestration tools
  • Build reusable components such as Claude skills, MCP connectors and prompt libraries

Résumé des exigences :

  • 3+ years of professional software or data engineering experience with strong Python and SQL
  • Built and shipped at least one LLM-powered application used by real users
  • Hands-on Databricks experience or deep data engineering background to ramp quickly
  • Experience integrating SaaS systems through REST APIs, webhooks and OAuth
  • Clear communication with non-technical business teams
  • Bachelor's degree in computer science or equivalent practical experience

Outils et compétences

Source et dates

Site carrière / système de candidatures · workable

Date publiée par l’employeur
2026-11-04
Première détection par notre source
2026-11-05
Mise à jour du dossier source
2026-11-05

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauIntermédiaire
DomaineDéveloppement logiciel
Expérience3 an(s) et plus
Heures par semaine40 (estimé)
Déplacementsavion : minimes · route : aucun
Milieu de travailDomicile
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
FormationBaccalauréat (préféré)
Domaines d’étudescomputer science
Avantages mentionnésRégime de retraite, Prime de rendement, Aide au transport en commun

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Fluent, LLC

Profil d’entreprise sauvegardé

Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.

Description complète de l’entreprise

Fluent, Inc. (NASDAQ: FLNT) is a commerce media solutions provider connecting top-tier brands with highly engaged consumers. Leveraging exclusive ad inventory, robust first-party data, and proprietary machine learning, Fluent unlocks additional revenue streams for partners and empowers advertisers to acquire their most valuable customers at scale. Founded in 2010, Fluent uses its deep expertise in performance marketing to drive monetization and increase engagement at key touchpoints across the customer journey. For more info, visit https://www.fluentco.com/. ​

Abonnés LinkedIn
64 615
Personnes associées sur LinkedIn
243
Bureaux déclarés
  • 300 Vesey St., 9th Floor, New York, NY 10282, US
Catégories d’activité
  • Ad Targeting
  • Mobile Apps
  • Hospitality
  • Ad Server
  • Digital Marketing
  • Retail Technology
  • Advertising Platforms
  • Sharing Economy
  • Lead Generation
  • Advertising
  • Email Marketing
  • Consumer Electronics
  • Travel
Autres noms enregistrés
  • Fluent, LLC
  • Fluent, Inc
Spécialités
  • Customer Acquisition
  • Publisher Monetization
  • Advertising Network
  • Advertising Technology
  • Site Monetization
  • Retail Media
  • and Commerce Media
Le profil indique une agence de recrutement
Non
Investissement total déclaré
48 300 000

La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.

Fluent, Inc. (NASDAQ: FLNT) is a commerce media solutions provider connecting top-tier brands with highly engaged consumers. Leveraging exclusive ad inventory, robust first-party data, and proprietary machine learning, Fluent unlocks additional revenue streams for partners and empowers advertisers to acquire their most valuable customers at scale. Founded in 2010, Fluent uses its deep expertise in performance…

ChampValeur
SecteurAdvertising Services
Taille201-500 employees
Siège socialNew York, NY
Type d’organisationPublic Company
Fondée en2010
SpécialitésCustomer AcquisitionPublisher MonetizationAdvertising NetworkAdvertising TechnologySite MonetizationRetail Mediaand Commerce Media
Offres sur Jobsy3
LinkedInVoir la page
Description

Fluent is building the next generation advertising network: Partner Monetize and Advertiser Acquisition. Our vision is to build an ML/AI first network of advertisers and publishers working toward a common objective, elevating relevancy in e-commerce for everyday shoppers.

Fluent is hiring its first dedicated AI Engineer. Over the past year, AI at Fluent has moved from pilots to production: a service desk agent that closes tickets without a human touch, a pipeline that cut modeled audience delivery from days to hours, and an agent that audits cross-system attribution and identifies revenue reconciliation opportunities. All of it was built by people doing it alongside their day jobs. Your job is to make it your day job.

You will sit in Core Engineering and work every day with Data Engineering, Data Science, and Solution Architecture. You will build the agents and automated workflows our business teams have asked for, and you will build them on the Databricks lakehouse that is Fluent's data hub, because the hard part of most of these workflows is not the model. It is getting trusted data and reliable actions in front of it.

You are a builder who ships. You are strong in Python and SQL, you have put at least one LLM-powered application in front of real users, and you know the difference between a demo and a production system: evaluation, monitoring, cost, and a clear owner. You have worked in Databricks or a comparable lakehouse, or you have the data engineering depth to get productive there quickly. You are comfortable sitting with a support lead or an account manager, understanding how they actually work, and turning that into something that runs every day. This role is fully remote in the United States, with occasional travel to our New York headquarters.

What you'll do

  • Ship production agents and automated workflows from a prioritized, business-validated backlog. Own each one from scoping with the business owner through build, deployment, monitoring, documentation, and handoff.
  • Build the data foundation those workflows depend on in Databricks: Unity Catalog tables and views, Lakeflow pipelines, Lakeflow Connect ingestion from systems like HubSpot, and Genie spaces that let business teams ask questions in plain language. Bring data from our ad-serving and partner platforms, CRM, support desk, and finance systems into one place people can trust.
  • Work with Data Science to make agent quality measurable: evaluation sets, accuracy and drift tracking, cost and latency instrumentation, and the audit fields and failure alerts every production workflow carries.
  • Integrate with Fluent's systems through APIs, webhooks, MCP servers, and orchestration (Databricks Workflows, n8n, GitHub Actions), and replace brittle point-to-point automations with maintained, observable ones.
  • Partner with Core Engineering to expose platform data and actions as APIs, so agents and business teams can use them directly instead of routing requests through engineers.
  • Build reusable pieces, not one-offs: Claude skills, MCP connectors, prompt and evaluation libraries, and playbooks that other builders across Fluent can pick up.
  • Handle consumer data in line with Fluent's privacy and compliance standards, use only approved AI tools, and work with IT & Security on credentials and access.
  • Demo weekly, write things down in Confluence, and share what you learn in brown bags and tech talks.
  • Use AI-assisted development (Claude Code, GitHub Copilot review) as a normal part of how you work.

What success looks like

In your first 90 days you will have shipped one workflow end to end, with a named business owner and numbers Finance can validate. By six months you will have several in production, at least one reusable component another builder has picked up, and a clear view of what next quarter's backlog should be.

Requirements

  • 3+ years of professional software or data engineering experience, with strong Python and SQL.
  • You have built and shipped at least one LLM-powered application or agent that real users depend on, using tool calling, retrieval, structured outputs, and evaluation.
  • Hands-on experience with Databricks (Spark, Delta Lake, Unity Catalog, Workflows) or a comparable lakehouse, or deep enough data engineering experience to ramp quickly.
  • Experience integrating SaaS and internal systems through REST APIs, webhooks, and OAuth.
  • You test your work, instrument it, and care about cost. You know when a workflow is ready to be owned by someone else.
  • You communicate clearly with people who do not write code, and you are comfortable running a working session with a business team.
  • Experience using AI coding assistants (Claude Code, GitHub Copilot) as part of a modern engineering workflow.
  • Bachelor's degree in computer science or a related field, or equivalent practical experience.

Nice to have

  • Databricks Mosaic AI (Agent Framework, Model Serving, Vector Search), Genie, Lakeflow Declarative Pipelines, Lakebase, or Databricks Apps.
  • Building MCP servers, or working with the Claude Developer Platform or Agent SDK.
  • Workflow orchestration tools such as n8n.
  • Integrations with HubSpot, Zendesk, NetSuite, or Jira.
  • Experience in ad tech, performance marketing, or another environment that handles regulated consumer data.

Benefits

At Fluent, we like what we do, and we like who we do it with. Our team is a tight-knit crew of go-getters; we love to celebrate our successes! In addition, we offer a fully stocked kitchen, catered breakfast and lunch, and our office manager keeps the calendar stocked with activity-filled events. When we are not eating, working out, or planning parties, Fluent folks can be found participating in recreational sports leagues, networking with She Runs It, and bonding with across teams during quarterly outings to baseball games, fancy dinners, and pizza-making classes. And we have all the practical benefits, too…

  • Competitive compensation
  • Ample career and professional growth opportunities
  • Health, dental, and vision insurance
  • Pre-tax savings plans and transit/parking programs
  • 401K with competitive employer match
  • Volunteer and philanthropic activities throughout the year
  • Educational and social events
  • The amazing opportunity to work for a high-flying performance marketing company!

Salary Range: $130,000 to $155,000 CAD plus competitive bonus - The base salary range represents the low and high end of the Fluent salary range for this position. Actual salaries will vary depending on factors including but not limited to location, experience, and performance.

Candidates may be at risk of targeting by malicious actors seeking personal information. Fluent recruiters will only reach out via LinkedIn or email with an @fluentco.com domain. Any outreach by Fluent via other sources (e.g. text, other domains etc) should be ignored.

Fluent participates in the E-Verify Program. As a participating employer, Fluent, LLC will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee’s Form I-9 to confirm work authorization. Fluent, LLC follows all federal regulations including those set forth by The Office of Special Counsel for Immigration-Related Unfair Employment Practices (OSC). The OSC enforces the anti-discrimination provision (274B) of the Immigration and Nationality Act (INA), 8 U.S.C. 1324b.

Emplois semblables

  • Software Engineer

    Mississauga, ON
    HybrideTemps plein

    FIL Delivery

    2+ ansCandidates need at least 2 years of professional web software experience, working knowledge of TypeScript and Node.js, and daily use of AI coding tools. Interest in logistics and supply chain and the ability to work directly with users are also required.

    TypeScript, Node.js, Azure Functions, Service Bus, Next.js, React

  • Senior Software Engineer, Database

    Ottawa, ON
    170k–230k $/anTélétravailTemps plein

    InfluxData: InfluxData is a remote-first company with a globally distributed workforce.

    8+ ansCandidates need 8+ years of professional software experience, deep knowledge of Rust, C++, or Go, and experience with distributed, high-availability systems. Experience using AI coding tools is also required.

  • Intermediate Software Engineer (Frontend/UI)

    Toronto, ON
    HybrideTemps plein

    Achievers

    3+ ansCandidates need 3+ years of software engineering experience, solid React and TypeScript skills, and knowledge of accessibility standards and testing. A bachelor's degree in computer science or equivalent practical experience is expected.

    React, TypeScript, GitHub, GCP Gemini Code Assist, Claude, Docker

  • Senior Software Engineer (Azure)

    Concord, ON
    120k–140k $/anSur placeTemps plein

    DEG Services

    7+ ans2+ gestionCandidates need 7+ years of software engineering experience, including 2+ years in a technical lead or mentoring role and Level 3 production support. Strong hands-on skills with Azure, CI/CD, Infrastructure as Code, APIs and application security are required.

    Microsoft Azure, Azure DevOps, GitHub Actions, Bicep, Terraform, React

  • Software Engineer, ML Ops

    Toronto, ON
    TélétravailTemps plein

    AeroVect: The Airport Automation Company

    Candidates need a Bachelor's or Master's in computer science, robotics, data engineering or a related field, with strong Python and working knowledge of ROS2, Docker and AWS. A Master's, MLOps or robotics data experience, and familiarity with Weights & Biases are preferred.

    ROS2, Docker, AWS S3, AWS EC2, Weights & Biases

  • Software Engineer

    London, ON
    82k–122k $/anTemps plein

    CARFAX

    3+ ansCandidates need 3+ years of object-oriented programming experience, strong Java or Kotlin and Spring Boot skills, and production React or Angular with TypeScript. They also need data pipeline, cloud, database and CI/CD experience, a real commitment to TDD, and the ability to communicate with technical and non-technical audiences.

    Java, Kotlin, Spring Boot, React, Angular, TypeScript

    Senior Software Engineer

    London, ON
    93k–139k $/anTemps plein

    CARFAX

    5+ ansCandidates need 5+ years of hands-on object-oriented programming, strong Java or Kotlin and Spring Boot experience, and production React or Angular with TypeScript. They also need data pipeline, cloud, database and CI/CD experience, plus a real commitment to TDD and the ability to lead and mentor.

    Java, Kotlin, Spring Boot, React, Angular, TypeScript

  • Senior Software Engineer - Kubernetes platform

    Toronto, ON
    Hybride

    Cloudflare: (NYSE: NET) is the leading connectivity cloud company.

    Cloudflare needs candidates with experience managing production Kubernetes clusters and operating systems at scale. They should be strong at Linux debugging, IP networking and writing code in Go, TypeScript or shell.

    Kubernetes, Linux, Envoy, Contour, Consul, etcd

Lieux et modes de travail

Lieux

Tout le CanadaTélétravail · Hybride · Sur place · Sur le terrain

Astuce : ajoutez le télétravail pour élargir la recherche.

Exclure des lieux

Mode de travail

Offres de cette entreprise dans les résultats

Voici les offres de cette entreprise chargées dans votre recherche. Elle peut avoir d’autres postes ouverts.