Senior Full-Stack Engineer - A226

Industry

Technical

Work Arrangement

Fully Remote with EST time zone overlap

Job Type

Full-time

Work Schedule

Monday to Friday, 9:00 AM – 6:00 PM EST

Locations

Anywhere Remote:

• LATAM: Brazil, Argentina, Colombia, etc.
• AFRICA: Egypt, Algeria, Morocco, etc.
• ASIA: Philippines, Indonesia, Malaysia, etc.
• Other remote regions with strong English communication and relevant design experience

About Pearl Talent

Pearl works with the top 1% of candidates from around the world and connects them with the best startups in the US and EU. Our clients have raised over $5B in aggregate and are backed by companies like OpenAI, a16z, and Founders Fund. They’re looking for the sharpest, hungriest candidates who they can consistently promote and work with over many years. Candidates we’ve hired have been flown out to the US and EU to work with their clients, and even promoted to roles that match folks onshore in the US.

Hear why we exist, what we believe in, and who we’re building for: WATCH HERE

Why Work with Us?

At Pearl, we’re not just another recruiting firm—we connect you with exceptional opportunities to work alongside visionary US and EU founders. Our focus is on placing you in roles where you can grow, be challenged, and build long-term, meaningful careers.

About the Company

Our client is a technology-driven company building intelligent, scalable web applications that integrate modern AI capabilities into real-world products. Operating in the AI-powered software and technology space, the company focuses on delivering high-performance, data-backed solutions through strong engineering foundations. The team works closely across engineering and data functions to bring production-ready AI features to market.

Role Overview

This Senior Full-Stack Engineer role is responsible for owning the architecture, development, and production readiness of AI-enabled web applications. The role spans backend systems, frontend interfaces, and cloud infrastructure, with a strong emphasis on reliability and scalability. You will work closely with data scientists to productionize machine learning models and integrate them into customer-facing features. The work is hands-on, execution-focused, and highly autonomous. This role is ideal for a senior engineer who thrives in ownership-heavy environments and enjoys building complex systems end to end.

Your Impact

You will play a critical role in bringing AI-powered features from concept to production. Your work will directly influence system scalability, application performance, and reliability in live environments. By partnering closely with data science, you will enable machine learning models to deliver real business value. You will help shape engineering standards, improve deployment workflows, and ensure the platform can scale with growing user demand. Your contributions will directly support product innovation and long-term technical sustainability.

Core Responsibilities

Full-Stack Architecture & Development

• Architect and build scalable full-stack applications using Django, React, and PostgreSQL.
• Design, implement, and maintain secure, well-documented APIs.
• Own backend business logic and frontend implementations for complex features.
• Optimize application performance, reliability, and scalability in production.

AI & Machine Learning Integration

• Integrate machine learning models into production web applications.
• Collaborate with data science teams to operationalize AI-driven features.
• Deploy, monitor, and support ML models using AWS services.
• Maintain real-time or batch inference pipelines.

Cloud Infrastructure & Deployment

• Deploy and manage applications using AWS services including Lambda, ECS, and SageMaker.
• Monitor production systems and troubleshoot reliability or performance issues.
• Improve cloud architecture and deployment workflows as the platform scales.
• Enforce best practices around security, observability, and uptime.

Technical Leadership & Collaboration

• Lead code reviews and uphold engineering best practices.
• Mentor junior and mid-level engineers across frontend and backend work.
• Participate in architectural planning and technical decision-making.
• Collaborate cross-functionally during EST working hours.