{"id":13525,"date":"2025-12-09T20:33:43","date_gmt":"2025-12-09T20:33:43","guid":{"rendered":"https:\/\/kick-start.us\/?post_type=job_listing&#038;p=13525"},"modified":"2025-12-09T20:33:43","modified_gmt":"2025-12-09T20:33:43","slug":"california-402-applied-ai-engineer","status":"publish","type":"job_listing","link":"https:\/\/kick-start.us\/es\/vaga\/california-402-applied-ai-engineer\/","title":{"rendered":"Applied AI Engineer"},"content":{"rendered":"<p>Descripci\u00f3n completa del puesto<\/p>\n<p>The position<\/p>\n<p>Please read first<\/p>\n<ul>\n<li>This is a full-time, in-person role based in San Francisco (Presidio) &#8211; we work from the office 5 days a week .<\/li>\n<li>You must be based in the Bay Area or willing to relocate before starting .<\/li>\n<li>We require US work authorization , but are open to O-1 visa sponsorship for truly exceptional candidates.<\/li>\n<\/ul>\n<p>Roles &amp; Responsibilities<\/p>\n<ul>\n<li>As an Applied AI Engineer , you&#8217;ll be responsible for building, refining, and scaling the agent systems inside the company \u2014 from architecture to evals to deployment.<\/li>\n<li>This isn&#8217;t a research role. We care about what works in production: fast response times, predictable behavior, traceability, and uptime.<\/li>\n<li>You&#8217;ll work across the stack \u2014 with infra, frontend, and product \u2014 to make sure the agents users build inside the company are robust, useful, and usable.<\/li>\n<\/ul>\n<p>A few examples of what you might work on:<\/p>\n<ul>\n<li>Implement multi-step, tool-using agents that hit real APIs and handle retries, auth, timeouts, and edge cases.<\/li>\n<li>Build RAG pipelines that support grounded answers from structured and unstructured sources.<\/li>\n<li>Design agent memory systems that persist relevant state across runs \u2014 e.g., scratchpads, summary buffers, embedding stores.<\/li>\n<li>Add determinism + replay to agents so users can trace and debug behaviors step by step.<\/li>\n<li>Own and evolve our eval framework \u2014 both automated checks and human-in-the-loop scoring.<\/li>\n<\/ul>\n<p>Essential criteria<\/p>\n<ul>\n<li>3 to 7 years minimum experience in AI in similar roles<\/li>\n<li>Previous work experience: either in an early-stage start-up (small team, high autonomy, fast pace)either in a recognized Big Tech company ( Meta, Google, AWS, etc. )<\/li>\n<li>Fluent professional English (working language in San Francisco)<\/li>\n<li>Availability to work on-site in San Francisco, 5 days\/week<\/li>\n<li>Opening of an O-1 visa (exceptional talent) \u2013 Company fully sponsors it<\/li>\n<li>Having already delivered complex products or contributed to open source projects<\/li>\n<\/ul>\n<p>The candidate<\/p>\n<ul>\n<li>3+ years of engineering experience, including time shipping production software.<\/li>\n<li>Experience building and deploying agent-like systems \u2014 multi-step LLM pipelines, tool-using bots, scripted assistants, or similar.<\/li>\n<li>Hands-on experience with RAG pipelines, agent memory systems, tool use and orchestration, and evaluation.<\/li>\n<li>Ability to write production-grade code and work across systems without needing a spec.<\/li>\n<li>Thrives in fast-paced, product-first environments where the goal is shipping.<\/li>\n<li>Bonus: Experience with frameworks like LangChain, CrewAI, or DSPy, shipped agents live in the wild, familiarity with LLM ops, tracing, observability, and failure handling, and experience as a founder or early engineer.<\/li>\n<\/ul>\n<p>Technical skills<\/p>\n<ul>\n<li>Experience with multi-step LLM pipelines, tool-using bots, scripted assistants.<\/li>\n<li>Hands-on experience with RAG pipelines, agent memory systems, tool use and orchestration, and evaluation.<\/li>\n<li>Experience with frameworks like LangChain, CrewAI, or DSPy.<\/li>\n<li>Familiarity with LLM ops, tracing, observability, and failure handling.<\/li>\n<\/ul>\n<p>Recruitment process<\/p>\n<ul>\n<li>15-min intro call: Quick check to align on location, motivation, and logistics.<\/li>\n<li>45-minute technical interview: Build a small full-stack app.<\/li>\n<li>System design interview: Deep dive into how you think and architect systems.<\/li>\n<li>Final conversation: Quick vibe check, answer your questions, and scope out the work trial.<\/li>\n<li>Work trial: Paid, in-person, and real \u2014 typically 3 days to 2 weeks.<\/li>\n<\/ul>\n<p>Extras<\/p>\n<ul>\n<li>Full-time, in-person role based in San Francisco (Presidio) with work from the office 5 days a week.<\/li>\n<li>Open to O-1 visa sponsorship for truly exceptional candidates.<\/li>\n<\/ul>\n<p>Job Type: Full-time<\/p>\n<p>Pay: $180,000.00 &#8211; $250,000.00 per year<\/p>\n<p>Application Question(s):<\/p>\n<ul>\n<li>Are you Available to work on-site in San Francisco, 5 days\/week?<\/li>\n<li>Are you authorized to work in the US for any employer?<\/li>\n<li>Have you delivered complex products or contributed to open source projects?<\/li>\n<li>Do you have Previous work experience: either in an early-stage start-up (small team, high autonomy, fast pace)either in a recognized Big Tech company ( Meta, Google, AWS, etc. )?<\/li>\n<li>Do you have hands-on experience with RAG pipelines, agent memory systems, tool use and orchestration, and evaluation?<\/li>\n<li>Do you have experience building and deploying agent-like systems \u2014 multi-step LLM pipelines, tool-using bots, scripted assistants, or similar?<\/li>\n<\/ul>\n<p>Experience:<\/p>\n<ul>\n<li>Applied AI: 4 years (Required)<\/li>\n<li>AI Engineering: 6 years (Required)<\/li>\n<li>RAG Pipeline: 4 years (Required)<\/li>\n<li>Agent Memory Systems: 3 years (Required)<\/li>\n<li>LangChain: 3 years (Required)<\/li>\n<li>CrewAI: 3 years (Preferred)<\/li>\n<li>DSPy: 3 years (Preferred)<\/li>\n<\/ul>\n<p>Lugar de trabajo: En persona<\/p>","protected":false},"author":10,"featured_media":0,"template":"","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"pmpro_default_level":"","_promoted":"","_job_location":"California","_application":"https:\/\/www.indeed.com\/viewjob?jk=d9b07f8f750c0b22&from=mobRdr&utm_source=%2Fm%2F&utm_medium=redir&utm_campaign=dt","_company_website":"","_company_tagline":"","_company_twitter":"","_company_video":"","_filled":0,"_featured":0,"_remote_position":0,"_job_salary":"","_job_salary_currency":"","_job_salary_unit":"","_joinchat":[]},"job-types":[402],"class_list":{"0":"post-13525","1":"job_listing","2":"type-job_listing","3":"status-publish","4":"hentry","5":"pmpro-has-access","7":"job-type-o-1-a"},"_links":{"self":[{"href":"https:\/\/kick-start.us\/es\/wp-json\/wp\/v2\/job-listings\/13525","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/kick-start.us\/es\/wp-json\/wp\/v2\/job-listings"}],"about":[{"href":"https:\/\/kick-start.us\/es\/wp-json\/wp\/v2\/types\/job_listing"}],"author":[{"embeddable":true,"href":"https:\/\/kick-start.us\/es\/wp-json\/wp\/v2\/users\/10"}],"wp:attachment":[{"href":"https:\/\/kick-start.us\/es\/wp-json\/wp\/v2\/media?parent=13525"}],"wp:term":[{"taxonomy":"job_listing_type","embeddable":true,"href":"https:\/\/kick-start.us\/es\/wp-json\/wp\/v2\/job-types?post=13525"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}