Senior AI Engineer

This Jobot Job is hosted by: Brandon Bays Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $225,000 - $300,000 per year A bit about us: We’re partnering with a startup building AI powered systems to modernize a complex legacy industry that has historically relied on manual workflows and outdated tooling. In under a year, the company reached ~$10M ARR, became profitable, and is on track to scale to ~$30M ARR this year. The product sits at the intersection of AI, automation, and real world impact, using LLMs and agentic systems to replace hours or weeks of manual work with intelligent, scalable software. This is a rare opportunity to join early at a company with strong product market fit, real revenue, and meaningful mission driven outcomes. We are looking for a Senior AI Engineer open to working 3-4 days/week in San Francisco or New York City. Why join us? 401k with 3% company match Medical, dental and vision benefits Annual team offsites in cool places High impact, mission driven work You’ll be building systems that directly affect people’s lives and unlock opportunity for top global talent Proven traction and real scale ($10M ARR, profitable, and growing rapidly with a clear path to 3x revenue in 2026) $500 annual fitness stipend LLMs and agentic workflows are deeply embedded into the core product Engineering led culture Small, high caliber team with real ownership over product and technical decisions Zero to one through scale challenges You’ll work on everything from early architecture decisions to scaling systems for significant growth Already integrated into workflows of leading AI and technology companies Rapid iteration, frequent shipping, and direct user feedback loops Job Details What You’ll Work On Building and scaling agentic AI systems that autonomously execute complex, multi-step workflows end-to-end Designing AI orchestration layers, agent harnesses, tool calling frameworks, and execution pipelines for production LLM systems Developing and deploying LLM-powered infrastructure including retrieval pipelines, memory/context systems, evaluation layers, and workflow automation Building scalable backend services, APIs, and distributed event-driven architectures that support high-throughput AI workloads Creating production-grade AI systems focused on reliability, latency, observability, and iteration speed Designing integrations with external platforms, APIs, and third-party services to expand agent capabilities Improving AI system quality through evaluation frameworks, prompt iteration, retrieval optimization, and human-in-the-loop workflows Collaborating closely with product and engineering teams to rapidly prototype and ship new AI-native product experiences Evolving platform architecture to support rapid growth, increasing workflow complexity, and new AI capabilities over time What We’re Looking For 4 years of experience building and shipping production software systems, at least 2 years of AI engineering experience Strong backend engineering fundamentals with deep experience in Python Proven experience building AI-native products, agentic systems, LLM workflows, RAG pipelines, or orchestration infrastructure in production environments Strong understanding of distributed systems, async processing, event-driven architectures, and scalable backend design Experience working with modern AI tooling/frameworks such as LangGraph, LangChain, vector databases, workflow engines, or model serving infrastructure Ability to move quickly in ambiguous 0→1 startup environments with high ownership and autonomy Strong product instincts with an interest in building practical AI systems that solve real operational problems Comfortable operating across the stack when needed, including APIs, frontend integrations, internal tooling, and user-facing workflows Passion for AI infrastructure, automation, developer tooling, and the future of intelligent software systems Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy