Senior AI/ML Engineer (LLM)

About iBusiness Funding

iBusiness Funding is a software and lender service provider specializing in small business lending. Our technology, team, and process enable us to support loans from $10,000 to $25 million for our lending partners. Our technology solutions have been proven to quickly scale our clients’ portfolios without the need for additional overhead. Our flagship product, LenderAI, features end-to-end lending functionality from sales all the way through servicing

To date, we’ve processed over $11 billion in SBA and non-SBA volume and handle more than 1,000 business loan applications daily. Our team is driven by our core values of innovation, integrity, enjoyment, and family.

Join us and be part of a team that’s transforming the finance industry and empowering businesses to thrive!

Position 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. 

Major Areas of Responsibility

• 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. 

Required Knowledge, Skills, and Abilities

• 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 Haves

• Master’s or PhD in Computer Science, AI, Machine Learning, Physics or a related field. 
• Experience with MLOps and AWS 

• Familiarity with reinforcement learning and other advanced NL techniques. 

• Experience building risk modules 
  

The anticipated salary range for this position is $170,000 - $210,000 annually, depending on experience and qualifications. iBusiness Funding provides a comprehensive benefits package, including medical, dental, and vision coverage; 401(k) with company match, and paid time off. 

Conclusion: 

This job description is intended to convey information essential to understanding the scope of the job and the general nature and level of work performed by job holders within this job. This job description is not intended to be an exhaustive list of qualifications, skills, efforts, duties, responsibilities, or working conditions associated with the position. 

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, genetic information, or any other characteristic protected by law.