Senior Software Engineer, LLM Platform
Salary
$163,600 - $226,400 a year
Job details
Job description, work day and responsibilities
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Skills
Terraform
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Systems engineering
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Kubernetes
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Job details
Here’s how the job details align with your profile.
Pay
$163,600 - $226,400 a year
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401(k) matching
Dental insurance
Disability insurance
Employee stock purchase plan
Health insurance
Health savings account
Military leave
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Full job description
About Upstart
Upstart is the leading AI lending marketplace partnering with banks and credit unions to expand access to affordable credit. By leveraging Upstart's AI marketplace, Upstart-powered banks and credit unions can have higher approval rates and lower loss rates across races, ages, and genders, while simultaneously delivering the exceptional digital-first lending experience their customers demand. More than 80% of borrowers are approved instantly, with zero documentation to upload.
Upstart is a digital-first company, which means that most Upstarters live and work anywhere in the United States. However, we also have offices in San Mateo, California; Columbus, Ohio; and Austin, Texas.
Most Upstarters join us because they connect with our mission of enabling access to effortless credit based on true risk. If you are energized by the impact you can make at Upstart, we'd love to hear from you!
The Team
Upstart's new LLM Platform team is building foundational infrastructure that democratizes access to generative AI for every product and engineering team across the company.
As a Senior Software Engineer on the LLM Platform team, you will help design and build a unified interface for securely interacting with large language models - abstracting away the complexity of model selection, prompt orchestration, evaluation, and scaling. You'll help build a centralized GenAI layer that enables engineers to use best-in-class LLMs through clean APIs, configurable pipelines, and intuitive tooling.
Reporting to our Senior Director of Engineering, the team operates with broad scope and high visibility, partnering across Machine Learning, Product, and Compliance to ensure every model integration is performant, secure, and compliant. Whether it's embedding LLMs in user-facing products or optimizing backend workflows, this team makes it seamless for Upstart Engineering to adopt and scale GenAI company-wide.
How you'll make an impact:
Build the LLM Platform powering generative AI use cases across all of Upstart Engineering.
Design and implement reliable, observable infrastructure for model inference, prompt orchestration, and data workflows.
Drive cross-functional adoption of AI tooling by delivering reusable components and intuitive interfaces.Increase developer productivity through automation, metrics dashboards, and streamlined GenAI integrations.
Set the technical roadmap for platform capabilities, balancing innovation with reliability and compliance.
Partner with ML researchers, product engineers, and design to bridge experimentation and production.
Ensure the platform adheres to emerging standards of security, fairness, and explainability for LLM systems.
What we're looking for:
Minimum requirements:
6+ years of experience in object-oriented software engineering, with a strong systems engineering background
Proficiency in backend development, microservices architecture, and infrastructure tools like Kubernetes, Docker, and Terraform
Hands-on experience building ML platforms or infrastructure supporting LLMs or inference systems
Familiarity with observability tools (e.g., Prometheus, Grafana, Datadog) and data processing pipelines
Strong written and verbal communication skills and a collaborative approach to cross-functional work
Preferred qualifications:
Full Stack development skills, ideally with Kotlin, Spring, JS/TS (React) or similar
Experience with LLM toolchains such as LangChain, LlamaIndex, or OpenAI APIs
Deep understanding of model inference optimization (e.g., quantization, ONNX, streaming)
Exposure to retrieval-augmented generation (RAG), vector databases (e.g., FAISS, Pinecone), or prompt engineering
Experience operationalizing LLMs in production, including latency management and prompt versioning
Ability to influence platform direction and drive alignment across multiple engineering teams
Awareness of LLM-specific risk domains, including hallucinations, fairness, and data privacy
Position Location - This role is available in the following locations: Remote, San Mateo, Columbus, Austin
Time Zone Requirements - This team operates across all U.S. time zones.
Travel Requirements - This team has regular on-site collaboration sessions. These occur 3 days per quarter at an Upstart office. If you need to travel to make these meetups, Upstart will cover all travel related expenses.
What you'll love:
Competitive Compensation (base + bonus & equity)
Comprehensive medical, dental, and vision coverage with Health Savings Account contributions from Upstart
401(k) with 100% company match up to $4,500 and immediate vesting and after-tax savings
Employee Stock Purchase Plan (ESPP)
Life and disability insurance
Generous holiday, vacation, sick and safety leave
Supportive parental, family care, and military leave programs
Annual wellness, technology & ergonomic reimbursement programs
Social activities including team events and onsites, all-company updates, employee resource groups (ERGs), and other interest groups such as book clubs, fitness, investing, and volunteering
Catered lunches + snacks & drinks when working in offices
The position is suitable for candidates with education
This position is suitable for fresh graduate
Company address
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Offer ID: #1166068,
Published: 2 days ago,
Company registered: 4 months ago