Member of Technical Staff

Backend Software Engineer / Member of Technical Staff (Backend AI / ML Systems)

📍 Location: San Francisco (Union Square) – Onsite

🚀 Stage: Series B Funded + Profitable

💰 Base Salary is $300k – $400k

📈 Equity/Stocks - $400k p/a

🛂 Visa sponsorship available

💰 Sign-on Bonus after working there 6 months (of up to $200k)

Total 1st Year Compensation - $1mil

Why this opportunity stands out

• Work on core AI systems powering the future of tax and accounting automation
• Join a high-calibre founding team with multiple successful exits and FAANG experience
• Early engineering team (~30 people) with real ownership and architectural influence
• Backed by a very well known post-IPO Unicorn, combining startup speed with global scale

Tech stack

• Python
• ML Infra
• Machine Learning / LLM systems
• Distributed Systems
• Modern backend infrastructure and APIs
• Django

What you’ll be working on

• Building core backend systems that deploy machine learning models in production
• Designing the architecture behind LLM interactions, inference systems, and ML pipelines
• Extracting structured data from complex tax and financial documents
• Developing backend services and database layers supporting AI-powered applications
• Integrating external vendor APIs and data systems
• Collaborating closely with accountants and domain experts to shape product direction

Why engineers tend to like this team

• Very high talent density across the founding team
• Engineers have direct influence on architecture and product direction
• Opportunity to work on real-world AI systems used by professional services firms
• Startup ownership with the backing and distribution of a well known & respected Unicorn

You’d likely be a good fit if you

• Have 5+ years of backend software engineering experience
• Have strong experience building production systems in Python
• Enjoy working on ML infrastructure, data systems, or AI-powered products
• Are comfortable making thoughtful architectural decisions in fast-moving environments
• Like building products that solve complex real-world problems

About the company

• They build AI-powered software that automates how tax and accounting firms process complex financial documents.
• The platform uses machine learning and generative AI to extract, structure, and validate data from tax forms with extremely high accuracy — reducing manual work and enabling professionals to focus on higher-value advisory work.
• The company was founded in 2022 and recently acquired by a Unicorn, combining startup agility with the reach and trust of a global technology leader.

If you're a Backend Engineer / Software Engineer / Member of Technical Staff who enjoys building production AI systems with real impact, I’d be happy to share more details.

Keywords: Python, Backend Engineering, Machine Learning Infrastructure, LLM Systems, APIs, Data Systems, AI Platforms