Backend Engineer at Alma
:
PeopleUp x Alma | Help Build the Future of LegalTech with a World-Class Team
PeopleUp is proud to partner with Alma , a category-defining startup backed by leading Silicon Valley VCs, to help hire the best software engineer in the world .
We are on a mission to find that rare individual who doesn't just meet the bar but raises it . This is your opportunity to work with a founding team from Harvard, Uber, and McKinsey , solving truly meaningful challenges in AI and immigration law.
Alma is hiring the best software engineer in the world to join our world-class engineering team. Every new hire is going to raise the bar and that's how we are able to deliver the best AI native product ever seen in legal tech space.
Our entire team works between 9 am and 8 pm Pacific Time and 5 days a week. We try to leave the weekend to our team to recharge and spend time with their family.
Hello! We're ALMA
Backed by leading VCs such as Bling Capital, Forerunner, Village Global, NFX, Conviction, MVP Ventures, NEA and Silkroad Innovation Hub, Alma is a LegalTech startup on a mission to transform the immigration industry. By combining the expertise of seasoned attorneys with AI/ML, we streamline the complex immigration process for individuals and businesses. Our comprehensive platform and dedicated legal team provide clients with a seamless experience, empowering them to navigate the intricate world of immigration with confidence.
Why you should join ALMA
You will have the opportunity to work alongside mission-driven founders who not only want to build transformative solutions for lawyers but also deeply understand what problems need to be solved. From day 1 you will be solving challenging & interesting problems and working with cutting-edge AI research and technology. You will be working with our CTO, a seasoned tech visionary with years of leadership experience at Uber and other established startups, where you'll have the chance to greatly expand your knowledge and skills under his expert mentorship.
Founding Team
The founding team has an extensive background in the legal industry, consulting, and building ML platforms.
Shuo - CTO & Cofounder: Shuo built the ML Platform (Michelangelo) at Uber for 5+ years after which he was the head of AI & ML team at a SupportLogic (a series B startup using predictive & generative AI for customer support).
Aizada - CEO & Cofounder: Aizada is a graduate of Harvard Law School, an attorney with 7+ years of experience including working at a top law firm such as Cooley and an ex-McKinsey consultant.
Assel - CPO & Cofounder: Assel is a graduate of Harvard Business School and has 7 years of experience building products at FinTechs such as SoFi and Step and at large financial institutions when working at Ernst & Young.
What we're looking for
We are looking for a highly-skilled and ambitious backend engineer with 5+ years of developing scalable platform solutions. You need to be super pumped about building AI native products to make immigration easy. You will own the platform end-to-end, partner with frontend engineers to deliver products features and scale our platform by 100x. We need you to be in the 99th percentile of having a can-do attitude.
Responsibilities
Work closely with the founding team and early customers to build a world-class AI-powered product.
Architect, develop and maintain the server-side logic, databases, APIs, and other backend processes to meet application requirements.
Collaborate with front-end developers to ensure seamless integration of user-facing elements.
Engage in the entire application lifecycle and hold high bar for coding, debugging, and deploying with an emphasis on high-quality, scalable code.
Role Requirements
Enjoy working in a fast-paced environment & wear multiple hats.
5+ years of backend development experience.
Experience with developing products built on top of LLMs / ML.
Proficient in Python, FastAPI, PostgreSQL, containerization and scaling microservice.
Experience in building products from zero to one.
Ability to seek & find the right resources for solving open-ended problems.
Located in the San Francisco Bay Area or willing to relocate.
BS/MS in Computer Science, Engineering, or a related technical field.
Nice-to-haves
Experience working in a small startup environment (Seed or Series A).
Experience working across the stack
Understand data lake / data warehouse
Understand Transformer / Attention / GPU inference
Experience with AWS, Supabase, LaunchDarkly & Betterstack
Compensation Range: $180K - $250K
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