AI/NLP/Data Engineer

Agent IQ; United States; Remote; USD 90,000 - 150,000; Full time

Job summary

An innovative fintech company is seeking an AI/NLP/Large Data Engineer to join their dynamic team. In this role, you will be responsible for building and enhancing state-of-the-art machine learning and AI models, contributing to the development of cutting-edge NLP applications. You will work in a collaborative environment, leveraging your expertise to improve AI/NLP models and drive technology improvements. With a focus on creating robust, scalable solutions, you will have the opportunity to work with a variety of tools and technologies, making a significant impact on the company's growth and success. If you are passionate about AI and eager to make a difference, this role is perfect for you.

Benefits

Competitive salary + equity

Full medical/dental/vision benefits

Unlimited PTO policy

Work from home

Google apps, Dropbox, Drive, Slack

Agent IQ swag

Great teammates

Qualifications

• 3+ years of experience in AI/NLP with a focus on production-quality systems.
• Masters degree or equivalent in AI/ML/NLP or related field required.

Responsibilities

• Build and improve NLP/AI models and infrastructure for AgentIQ products.
• Collaborate on new tools and features for NLP/AI development.

Skills

AI/NLP model improvement

Machine Learning

Deep Learning

Effective communication

Software engineering

Algorithmic prototyping

Education

Masters degree in AI/ML/NLP or related field

Tools

AWS

GCP

Python

Airflow

Pytorch

Node.js

Docker

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

Role Description

As an 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 the 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 the 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
• 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.