Voker, a YC S24 startup building AI-powered video creation tools, is seeking a full-stack engineer in Los Angeles. This role involves developing core features for their platform, working across the entire stack from frontend to backend, and integrating AI models. Ideal candidates are proficient in Python, Javascript/Typescript, and modern web frameworks like React, and have experience with cloud infrastructure like AWS. Experience with AI/ML, particularly in video generation or processing, is a strong plus.
Voker, a promising startup fresh from the Summer 2024 cohort of Y Combinator, is actively seeking a highly skilled and motivated Full Stack AI Software Engineer to join their dynamic team in Los Angeles, California. This role presents a unique opportunity for a talented individual to contribute significantly to the development of cutting-edge AI-powered software solutions designed to revolutionize the way legal professionals manage and interact with legal documents. Voker is developing a platform that leverages the power of artificial intelligence to streamline complex legal processes, making them more efficient and accessible.
The ideal candidate will possess a robust and comprehensive skillset encompassing both front-end and back-end development, coupled with a strong understanding of artificial intelligence and machine learning principles. Specifically, proficiency in React for front-end development and Python for back-end development is highly desired. Experience with large language models (LLMs) is also crucial, as the role will involve working directly with these advanced AI models to develop innovative functionalities within the Voker platform. Familiarity with vector databases and their implementation is a significant advantage, as Voker utilizes these technologies to manage and process the vast amounts of data inherent in legal documentation. Experience with cloud computing platforms, particularly Amazon Web Services (AWS), is preferred, given Voker's reliance on AWS infrastructure for deployment and scalability.
This full-time position offers the chance to be part of a rapidly growing startup at the forefront of the legal tech revolution. The successful candidate will play a pivotal role in shaping the future of Voker's product, working closely with a team of experienced engineers and entrepreneurs in a fast-paced and collaborative environment. The position requires not only technical proficiency but also a strong sense of ownership, a proactive approach to problem-solving, and a passion for innovation. While the posting emphasizes the need for an LA-based engineer, suggesting a preference for in-person collaboration and contribution to the local tech scene, it also hints at potential flexibility for exceptional candidates. This exceptional opportunity provides the chance to make a tangible impact on the legal industry while simultaneously advancing one's career in the burgeoning field of AI-driven software development. The position offers competitive compensation and benefits, including equity in the company, reflecting the high value Voker places on attracting and retaining top talent.
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https://news.ycombinator.com/item?id=43178225
HN commenters were skeptical of the job posting, particularly the required "mastery" of a broad range of technologies. Several suggested it's unrealistic to expect one engineer to be a master of everything from frontend frameworks to backend infrastructure and AI/ML. Some also questioned the need for a full-stack engineer in an AI-focused role, suggesting specialization might be more effective. There was a general sentiment that the job description was a red flag, possibly indicating a disorganized or inexperienced company, despite the YC association. A few commenters defended the posting, arguing that "master" could be interpreted more loosely as "proficient" and that startups often require employees to wear multiple hats. The overall tone, however, was cautious and critical.
The Hacker News post discussing the Voker (YC S24) job posting for an LA-based full-stack AI software engineer generated several comments, primarily focusing on the listed salary range and the ambiguity surrounding the "AI" aspect of the role.
Several commenters expressed skepticism about the advertised salary range of $140k - $230k, pointing out that this range is unusually broad. They questioned what skills or experience would justify the higher end of the scale, especially given that the job description doesn't explicitly mention advanced AI/ML expertise beyond familiarity with tools like LangChain and Pinecone. This led to speculation that the upper end of the range might be reserved for exceptionally experienced candidates with a proven track record or specialized skills not explicitly outlined in the job posting. Some users suggested that the wide range might also be a tactic to attract a broader pool of applicants.
The term "full-stack AI software engineer" drew significant attention and sparked debate. Commenters questioned its meaning and wondered if it's a legitimate specialization or simply a buzzword-laden title. Some users expressed concern that the term is too vague and doesn't accurately reflect the actual responsibilities of the role. They pointed out that the job description emphasizes traditional full-stack web development skills more than specific AI/ML expertise. This led to speculation that the "AI" component might be a relatively minor aspect of the job, potentially involving integrating pre-built AI models or APIs rather than developing novel AI algorithms.
Furthermore, some commenters expressed general cynicism about the prevalence of "AI" in job titles, suggesting that many companies are using the term to attract talent or inflate the perceived importance of roles. They argued that genuine AI/ML engineering roles typically require advanced degrees and specialized skills not reflected in the job description.
Finally, a few commenters discussed the location requirement (Los Angeles) and speculated about the company's work culture and potential for growth, given its recent graduation from Y Combinator. However, these comments were less prevalent than those focused on the salary and the "AI" aspect of the role.