Senior Software Engineer (Backend) - AI Infrastructure San Jose, Ca

Senior Software Engineer (Backend) - AI Infrastructure

San Jose, California, United States

Working here means you become part of a vision-driven team that’s ready to tackle challenges and build cutting-edge solutions. We value purpose, drive, and curiosity—and we thrive in a fast-paced, ever-changing environment. Whether in one of our offices in San Jose, CA, Draper, UT, or working remotely, BILLders collaborate to deliver real impact for businesses that need more time in their busy weeks.

Make your impact within a rapidly growing Fintech Company

Join our AI Infrastructure team at the forefront of transforming financial operations for small and mid-sized businesses, which form the backbone of the U.S. economy, contributing to about 1% of the U.S. GDP. Our team is the powerhouse behind a diverse range of AI models — from sophisticated credit models and advanced document understanding to intelligent virtual assistants and groundbreaking new projects on the horizon.

As a Senior Software Engineer, you'll play a pivotal role in shaping the future of fintech by developing cutting-edge solutions that streamline and enhance financial operations. This role offers a substantial scope for impact, allowing you to contribute directly to the success of millions of businesses while working at the intersection of AI, finance, and technology. You will define and execute architectural strategies that address long-term business and technical challenges. You'll have the opportunity to lead initiatives, drive innovations, and deploy models that save our customers time and effort, all within a dynamic, fast-paced environment that values high energy, cross-functional partnership, business acumen, and a strong sense of ownership.

We’d love to chat if you have:

1. Advanced Degree in Computer Science, Engineering, Mathematics, or a related field, ideally, with a focus on Machine Learning/AI
2. 5+ years of professional software development experience
3. Demonstrated expertise in designing, implementing, and deploying scalable machine learning models, especially in the backend
4. Experience with low latency systems, document understanding/generation, and virtual assistants is highly valued
5. Skilled in integrations to ingest data sets from various data sources
6. Experience in model evaluation frameworks to track and improve product/system performance, quality, data management and accuracy
7. Demonstrated expertise in prompt engineering and fine tuning Large Language Models (LLMs) to drive model quality further
8. Strong coding skills in Python, Java, or similar, along with experience in ML frameworks (e.g., PyTorch) and cloud services (e.g., AWS, GCP)
9. Knowledge of CI/CD pipelines and MLOps principles
10. A track record of successful cross-functional partnerships, with the ability to lead and inspire teams towards achieving shared goals
11. Innovative Mindset: A passion for staying on the cutting edge of ML/AI technology, with a drive to explore and implement novel solutions
12. Ownership and Drive: Exceptional problem-solving skills and a proactive approach to tackling challenges, taking ownership from concept through to deployment

The estimated salary range for this role is noted below for our San Jose based role. Our ranges for each role and job level are based on a variety of factors including candidate experience, expertise, and geographic location and may vary from the amounts listed above. The role is also eligible for a competitive benefits package that includes: medical, dental, vision, life and disability insurance, 401(k) retirement plan, flexible spending & health savings account, paid holidays, paid time off, and other company benefits.

San Jose pay range

$158,800-$190,550 USD

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