Senior AI/ML Engineer - LLM

January 31

🐊 Florida – Remote

Although this job is listed in Florida, this company may be open to hiring remote in other states.

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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iBusiness Funding

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iBusiness Funding is a company that provides tailored funding solutions for small and medium-sized businesses across America. Utilizing their advanced LenderAI platform, they streamline the lending process for both lenders and borrowers, offering a faster and smarter approach to business lending. iBusiness Funding specializes in SBA 7(a) loans, USDA loans, and flexible term loans, offering one application that provides multiple funding options to meet the unique needs of entrepreneurs and financial institutions. Their services cater to small business owners, large corporations, and alternative lenders, featuring innovative technology and sophisticated analytics for data-driven lending decisions.

SaaS • LaaS • Automation • Software Development • FinTech

201 - 500 employees

Founded 2013

💸 Finance

💳 Fintech

🤝 B2B

📋 Description

• We are seeking an experienced Senior LLM Engineer to join our team. • You will play a key role in designing and implementing workflows that leverage large language models (LLMs). • Collaborate closely with cross-functional teams, contributing to the development of scalable AI-driven solutions. • Design, implement, and optimize workflows that incorporate large language models to automate and enhance product features. • Research and evaluate new technologies and methodologies in the LLM space. • Provide technical leadership and mentorship to other engineers on the team.

🎯 Requirements

• Master’s or PhD in Computer Science, AI, Machine Learning, Physics or a related field. • 5+ years of experience in machine learning, NLP, or a related domain, with a focus on large language models. • Proven experience working with foundational models in production environments. • Strong programming skills in Python with experience in relevant ML libraries. • Hands-on experience in deploying machine learning models at scale. • Excellent communication and collaboration skills, with the ability to work cross-functionally. • Problem-solving mindset, with the flexibility to adapt models and workflows to evolving product needs. • Nice to have: Experience with MLOps and AWS. • Familiarity with reinforcement learning and other advanced NL techniques. • Experience building risk modules.

🏖️ Benefits

• Competitive salary and benefits package.