Senior AI/ML Engineer - LLM

Job not on LinkedIn

July 16

🐊 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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Finance • Fintech • B2B

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.

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, LAMs, LMMs, LVLMs, etc.) to automate the process and drive innovation in our products. • The ideal candidate will have a deep understanding of NLP, experience with foundational models, and a flexible, problem-solving mindset. • You will 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. • Leverage existing foundational models and adapt them to fit into various product requirements, ensuring alignment with business goals. • Collaborate with product managers, data scientists, and software engineers to integrate LLM-based automation into scalable solutions. • Create and architect Interpreters, Agented Systems, and integrate multi-hop RAG and other LLM experiences into existing systems to coordinate knowledge responses. • Research and evaluate new technologies and methodologies in the LLM space to continuously improve product automation. • Work on the customization and fine-tuning of models to optimize performance for specific use cases. • Develop, test, and deploy LLM-based services in production environments. • Provide technical leadership and mentorship to other engineers on the team. • Ensure that LLM integrations are efficient, scalable, and secure, adhering to industry best practices.

🎯 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. • Experience with MLOps and AWS • Familiarity with reinforcement learning and other advanced NL techniques. • Experience building risk modules