AI Engineer

Glider AI; Houston (TX); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Relocation assistance

Medical, Dental & Vision Insurance

Life Insurance

Disability Coverage

401(k) Retirement Plan

Paid Holidays

Generous PTO

Career development and learning

Job summary

Glider AI is seeking an experienced AI Engineer to design, build, and deploy cutting-edge AI solutions. You will work with data scientists, engineers, and product teams to deliver scalable AI applications powered by LLMs, ML/DL, and cloud technologies.

You will analyze user stories, develop production-grade software, fine-tune LLMs, and create reusable frameworks. This role emphasizes collaboration, responsible AI, and production readiness in a hybrid work environment.

Qualifications

• Experience delivering Generative AI solutions in production.
• Experience with ML/DL/NLP and large language models.
• Hands-on with LLMs and model fine‑tuning.
• Proficient in Python and deep learning frameworks (TensorFlow, PyTorch).
• Experience managing the AI development lifecycle from data prep to deployment.
• Strong analytical, debugging, and collaboration skills.
• Excellent communication and teamwork in a fast-paced setting.
• Willingness to work in a hybrid model with relocation if needed.

Responsibilities

• Analyze user stories and business requirements to deliver production-ready AI solutions.
• Design and develop scalable, high-quality software applications.
• Build, fine-tune, evaluate, and deploy Large Language Models for business use cases.
• Develop Generative AI apps for text/code/document intelligence and automation.
• Create reusable frameworks, automation scripts, and technical assets to increase productivity.
• Debug and resolve complex issues across apps and databases.
• Collaborate with Data Science, Engineering, and Product teams.
• Support POCs and evaluate emerging AI technologies.
• Ensure reliable, secure, production-ready deployments.
• Contribute to knowledge sharing and engineering best practices.
• Promote responsible AI development focusing on fairness and bias mitigation.

Skills

Generative AI

ML/DL/NLP

LLMs

Model fine-tuning

Python

Communication

Collaboration

Debugging

Education

Bachelor's degree in CS/Engineering

Tools

Python

TensorFlow

PyTorch

AWS

Azure

GCP

OpenShift

Job description

Locations (Hybrid):

Richardson, TX

Houston, TX

Raleigh, NC

Charlotte, NC

Somerset, NJ

Tempe, AZ

Relocation Assistance: Relocation package is available for eligible candidates.

About the Role

We are seeking an experienced AI Engineer with expertise in Generative AI to design, build, and deploy cutting‑edge AI solutions that solve complex business challenges. You will work alongside talented engineers, data scientists, and product teams to develop scalable AI applications powered by Large Language Models (LLMs), machine learning, and cloud technologies.

If you're passionate about innovation, AI, and building production‑ready intelligent systems, we'd love to hear from you.

What You'll Do

Analyze user stories and business requirements to deliver production‑ready AI solutions.

Design and develop scalable, high‑quality, and optimized software applications.

Build, fine‑tune, evaluate, and deploy Large Language Models (LLMs) for business use cases.

Develop Generative AI applications for text generation, code generation, document intelligence, automation, and other AI‑driven solutions.

Create reusable frameworks, automation scripts, and technical assets to improve engineering productivity.

Debug and resolve complex technical issues across applications and databases.

Collaborate with cross‑functional teams including Data Science, Engineering, and Product Management.

Support Proof of Concepts (POCs) and evaluate emerging AI technologies.

Ensure reliable, secure, and production‑ready deployments.

Contribute to knowledge sharing, technical documentation, and engineering best practices.

Promote responsible AI development with a focus on fairness, explainability, and bias mitigation.

Required Qualifications

Experience developing and deploying Generative AI solutions.

Strong understanding of Machine Learning, Deep Learning, and Natural Language Processing (NLP).

Experience working with Large Language Models (LLMs) and model fine‑tuning.

Strong programming skills in Python.

Hands‑on experience with TensorFlow, PyTorch, or similar deep learning frameworks.

Experience managing the complete AI development lifecycle, including data preparation, model training, evaluation, optimization, and deployment.

Strong analytical, debugging, and problem‑solving skills.

Excellent communication and collaboration abilities.

Ability to thrive in a fast‑paced, collaborative engineering environment.

Preferred Qualifications

Experience with cloud platforms such as AWS, Azure, Google Cloud Platform (GCP), or OpenShift.

Experience with open‑source AI technologies and frameworks.

Active contributions to open‑source projects or technology communities.

Industry certifications related to AI, Machine Learning, or Cloud technologies.

Strong coding background with achievements on platforms such as HackerRank, CodeChef, or similar.

Experience building scalable, enterprise‑grade AI applications.

Education

Bachelor's degree (or foreign equivalent) in Computer Science, Engineering, or a related technical field.

Equivalent professional experience will also be considered.

Work Authorization

Candidates must be authorized to work for any employer in the United States.

Employer‑based visa sponsorship is not available for this position, now or in the future.

Benefits

We offer a competitive compensation and benefits package, including:

• Medical, Dental & Vision Insurance
• Life Insurance
• Short‑Term & Long‑Term Disability Coverage
• Health & Dependent Care Reimbursement Accounts
• Supplemental Insurance (Accident, Critical Illness, Hospital Indemnity, Legal)
• 401(k) Retirement Plan
• Paid Holidays
• Generous Paid Time Off (PTO)
• Relocation Assistance for eligible candidates
• Career development and continuous learning opportunities