AI Engineer

Glider AI; Raleigh (NC); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Relocation Assistance

Life Insurance

Disability Coverage

Health & Dependent Care Reimbursement

Supplemental Insurance

401(k) Retirement Plan

Paid Holidays

Generous PTO

Career development opportunities

Job summary

Glider AI is seeking an experienced AI Engineer to design, build, and deploy cutting-edge generative AI solutions using LLMs and cloud tech. You will collaborate with data scientists, engineers, and product teams to deliver scalable, production-ready AI applications for business use cases.

You will fine-tune models, build automation, and contribute to best practices while ensuring security and responsible AI development in a fast-paced environment.

Qualifications

• Experience developing and deploying Generative AI solutions.
• Strong understanding of ML, DL, and NLP.
• Experience with LLMs and model fine-tuning.
• Strong Python programming skills.
• Hands-on with TensorFlow, PyTorch, or similar frameworks.
• Experience across AI development lifecycle from data prep to deployment.
• Strong analytical, debugging, and collaboration abilities.
• Ability to work in a fast-paced, collaborative environment.

Responsibilities

• Analyze user stories and requirements to deliver production-ready AI solutions.
• Design, build, and deploy scalable AI applications.
• Build, fine-tune, evaluate, and deploy LLMs for business use cases.
• Develop Generative AI apps for text/code/document intelligence and automation.
• Create reusable frameworks and automation assets to boost productivity.
• Debug and resolve complex issues across applications and databases.
• Collaborate with Data Science, Engineering, and Product teams.
• Support POCs and evaluate new AI technologies.
• Ensure reliable, secure, production-ready deployments.
• Contribute to knowledge sharing and engineering best practices.
• Promote responsible AI with fairness, explainability, and bias mitigation.

Skills

Generative AI

Machine Learning

NLP

Python

Communication

Education

Bachelor's degree in CS/Engineering

Tools

TensorFlow

PyTorch

AWS

Azure

GCP

Job description

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.

We offer a competitive compensation and benefits package, including:

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