Senior AI/ML Engineer

1 day ago

Fort Lauderdale, United States iBusiness Funding Full time
Job DescriptionJob DescriptionSalary:

About iBusiness Funding

iBusiness Funding is a leader in providing innovative Software as a Service (SaaS) solutions for banks and lenders, with a specialization in SBA lending. We build scalable lending platforms that streamline the business lending process, allowing lenders to efficiently deliver capital to small and medium-sized businesses.

To date, weve processed over $7 billion in SBA loans and handle more than 1,000 business loan applications daily. Our team is driven by our core values of innovation, integrity, enjoyment, and family.

As a top five SBA 7(a) preferred lender, our parent company offers SBA express and small loan capabilities. Join us and be part of a team thats 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.

Key Responsibilities:

  • 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.

Qualifications:

  • Masters 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

Why join us?

  • Opportunity to work on cutting-edge AI/ML technology in a dynamic and innovative environment that will see your work applied.
  • Collaborative team culture that thrives on creativity, learning, and delivering impactful results.
  • Competitive salary and benefits package.

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.


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