Job Board for Professionals in Puerto Rico

We're building an intelligent automation framework powered by large language models to solve complex, real-world workflows.

We're hiring two closely related roles within this initiative:

• Senior Browser Automation Developer -- focused on designing and scaling complex browser-based automation systems

• Senior Applied AI Developer -- focused on building LLM-powered, agentic workflows that reason, plan, and adapt

Both roles share a strong foundation in JavaScript/TypeScript, systems thinking, and a passion for solving hard problems, but differ in their primary focus areas.

These are hybrid work roles; you'll collaborate in person with the engineering team in Guaynabo 2 days a week.

If you enjoy working on cutting-edge automation and AI systems, we'd love to hear from you.

---

What You'll Work On

Core Responsibilities (Both Roles)

• Contribute to the design, development, and deployment of intelligent automation systems

• Collaborate cross-functionally to deliver end-to-end products and features

• Build scalable, reliable systems with strong testing and evaluation strategies

• Identify broader system implications and improve overall product performance

• Mentor junior engineers and promote engineering best practices

---

Role Focus: Browser Automation Engineering

• Design, implement, and maintain large-scale browser automation systems

• Work with tools like Playwright, Selenium, or Puppeteer

• Debug complex issues like race conditions, flaky executions, and DOM edge cases

• Handle advanced web patterns (iframes, shadow DOM, dynamic rendering)

• Design monitoring systems to detect automation failures, drift, and performance issues

• Navigate challenges like bot detection, captchas, and browser fingerprinting

---

Role Focus: Applied AI Engineering

• Build agentic workflows using LLMs with reasoning, planning, and adaptive execution

• Design and optimize prompts for accuracy, efficiency, and reliability

• Develop RAG pipelines, vector search systems, and memory-aware architectures

• Work with LLM APIs, fine-tuned models, and multi-modal systems

• Create evaluation frameworks to measure model performance and system quality

• Explore embeddings, NLP techniques, and data-driven optimizations

---

Required Skills (Shared Foundation)

• Strong experience with JavaScript / TypeScript

• 5-7 years of software engineering experience

• Experience building and shipping production-grade systems

• Strong understanding of system design, testing, and scalability

• Excellent problem-solving skills and intellectual curiosity

• Ability to collaborate effectively across teams

• Strong communication skills

---

Preferred Experience (Depending on Role)

Browser Automation Track

• Deep experience with browser automation frameworks (Playwright, Selenium, Puppeteer)

• Strong understanding of HTML, CSS, DOM, and web architecture

• Experience debugging automation failures and handling dynamic web environments

• Experience with web scraping or large-scale automation systems

Applied AI Track

• Hands-on experience with LLMs and agentic systems

• Experience with RAG, embeddings, and vector databases

• Familiarity with tools like LangChain, LangGraph, or LlamaIndex

• Experience with prompt engineering techniques (few-shot, chaining, feedback loops)

• Exposure to ML concepts, fine-tuning, or model evaluation frameworks

---

Nice to Have (Across Both)

• Experience with cloud platforms (AWS, Azure)

• API development and microservices architecture

• Python experience

• Experience combining AI with browser automation workflows

---

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, or related field (or equivalent experience)