Senior Backend (Llm) Engineer

  • Barueri - SP
  • Permanente
  • Período integral
  • Há 1 dia
Detalhes da VagaEscolaridade Não InformadoSegmento Não InformadoSalário Não InformadoÁrea de AtuaçãoDiversos / OutrosO que você irá fazer
  • Eli, a brokerage owner, brought invaluable industry expertise, while Jon, an experienced software engineer, saw an opportunity to innovate using technology.
  • Initially launched as a vertical SaaS solution addressing core quoting challenges, XILO has since evolved into a trailblazing Vertical AI company leveraging the latest AI technology to transform the industry.
  • By layering cutting-edge AI solutions onto its SaaS platform, XILO is driving innovation far beyond its original vision.
  • Having recently closed our Series A funding round, XILO is growing rapidly and seeking talented individuals who want to do career-defining work in a mission-driven startup that's at the forefront of AI innovation.
  • About The Role You'll be designing and optimizing AI models, fine-tuning LLMs, OCR, and other AI-driven systems to streamline complex workflows and make insurance automation smarter, faster, and more reliable.
  • This isn't just another ML role.
  • We're solving deep-rooted inefficiencies that insurance agencies have struggled with for decades-so much so that prospects have nearly teared up realizing how much time and effort our solutions will save them.
  • Your work won't be theoretical-it will directly transform the way thousands of businesses operate.
  • What You'll Do: Architect and develop scalable TypeScript microservices powering XILO's platform.
  • Design and optimize workflows for AI-driven customer interactions with the help of integration and fine tuning LLMs.
  • Prepare datasets for LLM fine-tuning.
  • Optimize system performance, reliability, and scalability.
  • Collaborate with cross-functional teams (product, frontend, data science) to deliver seamless integrations.
  • Mentor and guide junior engineers, fostering a collaborative and growth-oriented team culture.
  • Implement best practices for API security, data privacy, and maintainability.
  • What we're looking for 7+ years of backend engineering experience, with at least 2 years of expertise in TypeScript/Node.
  • Js.
  • Deep understanding of microservices architecture and cloud-based deployment (AWS, Heroku).
  • Deep understanding of Postgres database architecture and design.
  • Proven experience with scalable API design and database optimization.
  • Experience in fine-tuning and integration with LLMs (ChatGPT, ClaudeAI, Llama, etc.
  • ) Experience in gathering datasets for LLM fine-tuning.
  • Passion for writing clean, maintainable, and testable code.
  • Strong problem-solving skills and the ability to thrive in a fast-paced startup environment.
  • A collaborative mindset with a willingness to mentor and learn from others.
  • What we offer Collaborative and innovative work environment.
  • Flex PTO for any reason, including sick days (no specified limits), flexible work schedule.
  • Personal laptop.
  • Health and wellness package.
  • Budget for English lessons.
  • You'll have the opportunity to specialize in: AI Agents - The core of our automation strategy, building AI-driven workflows that replace tedious, manual processes with seamless decision-making LLM & Model Fine-Tuning - Adapting models to understand and process insurance-specific language and workflows with high accuracy OCR & Document Intelligence - Extracting, structuring, and analyzing critical insights from a wide range of insurance documents Intelligent Data Mapping - Training models to aggregate, categorize, and link scattered data into a centralized, dynamic user profile Why Join XILO? A great tech startup - Small, fast-moving, and driven by real impact Endless career growth - Help shape the team, tech, and company as we scale Strong leadership & backing - Work alongside experienced founders and tier 1 silicon-valley VCs Real-world data at scale - Work with rich, high-quality datasets collected from hundreds of insurance agencies, providing a strong foundation for AI fine- tuning, automation, and decision-making models
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