The Role
You will join an extension team of our client – iBusiness Funding.
iBusiness Funding is a leader in providing innovative 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, we’ve 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 that’s transforming the finance industry and empowering businesses to thrive!
We are seeking an experienced Senior Large Language Model 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.
What you’ll do
- 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
What we’re looking for
- 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
Brownie points
- Experience with MLOps and AWS
- Familiarity with reinforcement learning and other advanced NL techniques
- Experience building risk modules
Why work with us
- Great work-life balance
- Competitive remuneration package
- Exceptional social package & special discounts
- Supplemental health & dental care
- Team bonding events
- Excellent office location & facilities
- Relaxing & gaming areas
- Free bike parking & showers
More about Pwrteams
Join our fast-growing and diverse team at Pwrteams, where we provide premium IT and engineering nearshore solutions to our global customers. Since 2007, we pursue to become the market leader in assembling cross-border IT and engineering teams for customers. Our operations are strategically positioned within Eastern Europe’s dynamic tech ecosystems, from where we cater the global business landscape.
We’re at the forefront of travel, media and fintech innovation, healthcare efficiency enhancements, and others. Our goal? To connect interesting customer projects and skilled talent alike. Become a part of our team and take the next step on your personal career journey.
