Senior Backend (LLM) Engineer - Brasília - ref. m51978319
Brasília
Senior Backend (LLM) Engineer - 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 thats at the forefront of AI innovation.
About The Role Youll 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 isnt just another ML role.
Were solving deep-rooted inefficiencies that insurance agencies have struggled with for decadesso much so that prospects have nearly teared up realizing how much time and effort our solutions will save them.
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 were 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.
Youll 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?
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 thats at the forefront of AI innovation.
About The Role Youll 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 isnt just another ML role.
Were solving deep-rooted inefficiencies that insurance agencies have struggled with for decadesso much so that prospects have nearly teared up realizing how much time and effort our solutions will save them.
Your work wont be theoreticalit will directly transform the way thousands of businesses operate.
What Youll Do: Architect and develop scalable TypeScript microservices powering XILOs 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 were 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.
Youll 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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