Back

Senior AI/ML Engineer

Worldwide Salaried Open

About iBusiness iBusiness is a leading financial technology company transforming the way banks, credit unions, and lenders innovate. As a pioneer in secure AI, automation, and AI software development, iBusiness builds infrastructure and platforms that empower financial institutions to modernize faster—without sacrificing compliance or security. Its technology enables seamless digital transformation across lending, banking, and customer experience systems, giving institutions the tools to compete and innovate at enterprise scale. 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. Apply To This Job

More jobs

School Counsellor (Part-time)

Worldwide Salaried

SEA Manager (m/w/d)

Worldwide Salaried

Senior SEA Manager (m/w/d)

Worldwide Salaried

Data Engineer

Worldwide Salaried

Low Value Consultancy: Development of an Advocacy Manual for Disability Inclusion Zambia (Homebase)

Worldwide Salaried

AI & Automation Engineer

Worldwide Salaried

Senior Talent Aquisition Partner (Polish speaker) - Immediate Start

Worldwide Salaried

Senior Ops Co-ordinator (AI FIRST)

Worldwide Salaried

Senior Manager, Revenue Enablement

Worldwide Salaried

Principal Engineer (Payments)

Worldwide Salaried

Authorization Specialist II

Worldwide Salaried

SIS: Dozent (m/w/d) Deutsch als Fremdsprache (DaF)

Worldwide Salaried

_Leadership Trainee (Remote) | Remote + No Experience Needed

Worldwide Salaried

Experienced Full Stack Software Engineer – Web & Cloud Application Development

Worldwide Salaried

Experienced Health Insurance Data Entry & Verification Assistant (Entry-Level) – Join arenaflex's Dynamic Team

Worldwide Salaried

Experienced Customer Success Representative – Local Business Growth and Retention Specialist at arenaflex

Worldwide Salaried

Remote Lead 3D Environmental Artist - Game Development

Worldwide Salaried

Experienced Bilingual Customer Service Representative – Suwanee, GA at arenaflex

Worldwide Salaried

Experienced Part-Time Remote Data Entry Clerk – Flexible Work Arrangements with arenaflex

Worldwide Salaried

Experienced Customer Support Specialist – Delivering Exceptional Experiences for arenaflex Customers

Worldwide Salaried