×
Register Here to Apply for Jobs or Post Jobs. X

Remote AI​/NLP Engineer Gen AI & Scalable ML

Remote / Online - Candidates ideally in
San Jose, Santa Clara County, California, 95199, USA
Listing for: Agent IQ
Remote/Work from Home position
Listed on 2026-09-25
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 90000 - 120000 USD Yearly USD 90000.00 120000.00 YEAR
Job Description & How to Apply Below
Position: Remote AI/NLP Engineer for Gen AI & Scalable ML

About Us

Agent IQ is a recently funded, rapidly growing mid-stage fintech company. Agent IQ is making intelligent, frictionless digital engagement easy and profitable. Our Lynq digital engagement platform improves communication and engagement between financial institutions and their customer. The platform has built in AI/automation functionality to seamlessly improve efficiency, help employees and generate insights about customer needs. We're excited about our growth and the opportunities ahead as we continue to change the way FIs service their customers in digital space.

To achieve this we're building an amazing team, and here’s where you come in.

Role Description

As a AI/NLP/Large Data Engineer you will be responsible for building and improving ML and gen AI models, and suggestion/support tools, modeling & experimentation frameworks and building out the technical core of AgentIQ. You will be given opportunity to drive positive technology improvements and develop state of the art yet practical NLP/AI applications.

Responsibilities

  • Build and improve NLP/AI models at heart of AgentIQ product
  • Build and improve infrastructure to support NLP/AI modeling, generation, experimentation and deployment
  • Take ownership of NLP/AI trainer tools and data processing pipelines
  • Brainstorm and prototype algorithmic improvements
  • Develop customer specific and financial institutions focused machine intelligence
  • Contribute to deploying/monitoring/debugging models in production
  • Take ownership of NLP/AI trainer tools and data processing pipelines
  • Collaborate with platform teams on developing new tools and features needed for NLP/AI development and deployment
  • Create and maintain documentation
  • Provide internal training on applicable topics

Requirements

  • Passion for improving AI/NLP models and making them more robust and scalable
  • Ability/desire to work on AI/NLP models requiring little/no training data
  • Thrive in a diverse, dynamic environment that leverages multiple tools and languages
  • The ability to communicate effectively with thoughtfulness and maturity
  • Make technology decisions that are best for the business of Agent IQ
  • Experience building production-quality Gen AI, NLP, speech, or deep learning systems
  • Strong software engineering and interpersonal skills
  • Ability and desire to quickly pick up on new topics and techniques
  • Ability to quickly take an idea from conception and prototyping to deployment in production
  • Masters degree or equivalent in AI/ML/NLP or related field
  • 3+ years in related experience

Our environment

  • AWS/GCP hosted infrastructure
  • Linux
  • Python
  • Airflow
  • Pytorch
  • Node.js
  • Docker

Perks

  • Competitive salary + equity
  • Full medical/dental/vision benefits
  • Unlimited PTO policy
  • Work from home
  • Google apps, Dropbox, Drive, Slack, Mac (or PC) everything
  • Agent IQ swag
  • Great teammates

This is a remote (work from home) position

To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary