What are the responsibilities and job description for the AI Engineer position at Glider AI?
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
Apply Today!
If you're passionate about Artificial Intelligence, Generative AI, and building innovative solutions that make a real impact, we'd love to connect with you.
- 📩 Apply today or reach out directly to learn more about this opportunity.