AI/NLP/Data Engineer
Location not identified
- Pay
- Salary not listed in the saved posting
- Work setup
Remote stated — work setup source
Great teammates This is a remote (work from home) position
Listed location: Remote
Read the full posting- Employment
- Unconfirmed
What you’ll work on
Full postingAs 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.
Build and improve NLP/AI models at heart of AgentIQ product
Develop customer specific and financial institutions focused machine intelligence
Collaborate with platform teams on developing new tools and features needed for NLP/AI development and deployment
From the employer’s posting
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
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
What you’ll bring
All qualificationsCore experience
- Ability/desire to work on AI/NLP models requiring little/no training data
- Experience building production-quality Gen AI, NLP, speech, or deep learning systems
- Ability and desire to quickly pick up on new topics and techniques
- 3+ years in related experience
- Ability to quickly take an idea from conception and prototyping to deployment in production
Qualification wording
Ability/desire to work on AI/NLP models requiring little/no training data
Experience building production-quality Gen AI, NLP, speech, or deep learning systems
Ability and desire to quickly pick up on new topics and techniques
3+ years in related experience
Ability to quickly take an idea from conception and prototyping to deployment in production
Tools in this posting
- Python
- AWS
- Google Cloud (GCP)
- Docker
- Node.js
- PyTorch
- Airflow
Source — Tool mentions in context
- Linux - Python - Airflow
Our environment - AWS/GCP hosted infrastructure - Linux
- Node.js - Docker Perks
- Pytorch - Node.js - Docker
- Airflow - Pytorch - Node.js
- Python - Airflow - Pytorch
Benefits in the posting
Full benefits wording- Full medical/dental/vision benefits
- Unlimited PTO policy
- Agent IQ swag
- Great teammates
From the employer’s posting.
About agentiq
Agent IQ is a recently funded, rapidly growing mid-stage fintech company.
In the employer’s words · Read in context
Job description
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
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on agentiq.applytojob.com. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Remote
- Great teammates This is a remote (work from home) position
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Jun 3, 2026
- Recorded sightings
- 45
- Last seen by us
- Oct 1, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Report an errorSee how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.