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Staff Software Engineer

epic placements • United States
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Staff Software Engineer role at an early-stage AI company building software for investment and lending teams. Own significant product areas across frontend, backend, and data workflows while leading technical design and architecture. Requires 8+ years of software engineering experience, full-stack capability, and a practical AI coding-agent workflow.

Key Highlights
Staff-level software engineering role at an early-stage AI company.
Hands-on ownership across frontend, backend, and data workflows.
Uses AI coding agents extensively for development and review.
Based in San Francisco with a hybrid schedule of at least three onsite days per week.
Base salary of $290,000–$340,000 plus performance bonus and equity.
Key Responsibilities
Own significant product areas across frontend, backend, and data workflows.
Work with product, sales, customer success, and customers to understand needs and translate them into practical solutions.
Write technical design documents and lead thoughtful reviews before implementation.
Use AI coding agents to develop and review software, with rigorous validation of the results.
Make architectural decisions that balance delivery speed, reliability, maintainability, and customer needs.
Contribute across the team through design feedback, code review, and technical leadership.
Stay hands-on through implementation, database changes, troubleshooting, and production improvements.
Benefits & Perks
Performance bonus
Equity
Relocation support
Visa-transfer support
Nice to Have
Familiarity with TypeScript, Next.js, Python, AWS, Supabase, and Vercel.
Experience with relational databases, asynchronous processing, secure enterprise applications, and production AI systems.
Experience across both established technology companies and startups.

Job Description

Staff Software Engineer

San Francisco, CA | Hybrid, at least three days onsite | Full-time

Base salary: $290,000–$340,000, plus performance bonus and equity

Epic Placements is partnering with an early-stage AI company building software that helps investment and lending teams turn complex documents and financial information into useful analysis and better-informed decisions.

The business is growing, and the company is expanding its small engineering team. This is a hands-on opportunity to own substantial parts of the product, work directly with customers, and improve the way the broader team designs and ships software.

The opportunity

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