Full Stack AI Software Engineer

***** Monday-Saturday, In-Office***** $85k-$100k with 0.5%-1% equity***** Fully In-Office (Woodland Hills, Los Angeles, CA)About **Voker is a Y-Combinator backed development platform for product & engineering teams building LLM features into their software. We're looking for team members to help us accelerate our rapid growth. Our CEO previously scaled a startup to >$100M in revenue, and led data for a multi-billion NASDAQ software company. Our founders have backgrounds in machine learning, data science, and AI. Were driven by our hunger for learning, and our passion for delivering real customer value. We love working hard and building, and were looking for others who share our ambition. As an early stage, high-growth company, all engineering roles are fully in-office, Monday - Saturday,  in Woodland Hills, Los Angeles, CA.About the *We are looking for a Full Stack AI Software Engineer who will play a key role in the development of Voker's platform. You will be joining at the ground level and have the opportunity to shape the future of the product. We need a full-stack or back end engineer who is eager to work alongside our CTO and the core team in building out our technology stack and delivering customer-driven AI solutions. You should have experience shipping robust features to production with proper architecture, testing and design. You dont just take tickets and build to spec - you actually care about the end customers pains and you want to know how your code is impacting them.What We're Looking *Must currently be located in Los Angeles to applyMust have 2 years of experience in a full stack or back end software engineering role at a junior level or higher.Must have experience developing AI applications with Large Language Models (LLMs) and systems such as retrieval-based methods, fine-tuning, or agent-based architectures.Desire to work in person, next to CTO, CEO and engineering team.Experience ** Svelte, Python, TypeScript, PostgresEnthusiastic about the challenges and opportunities of working at a very early startup.Someone who enjoys being a part of a small, tight-knit team where your contributions will directly impact the success of the company.Nice to *****Experience deploying, monitoring and maintaining large language models (LLMs) models in production.Previous startup experience

Created: 2025-03-01