Pearl Talent is hiring a Senior Full-Stack Engineer to own the architecture, development, and production readiness of AI-enabled web applications. In this role, you will be responsible for end-to-end systems spanning backend, frontend, and cloud infrastructure, with a strong focus on reliability and scalability. You will work closely with data scientists to productionize machine learning models and integrate them into customer-facing features.
What You'll Do
- 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.
- 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.
- 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.
- 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.
What We're Looking For
- 5+ years of full-stack engineering experience using Python/Django and React.
- Strong experience with PostgreSQL database design and performance optimization.
- Hands-on experience deploying machine learning models in production environments.
- Proficiency with AWS for web and AI application deployment.
- Ability to work autonomously and own complex systems end to end.
- Availability to work consistently during EST business hours.
- Excellent written and verbal English communication skills.
Nice to Have
- Experience with MLOps practices such as model versioning and inference pipelines.
- Familiarity with Docker, Kubernetes, and CI/CD tooling.
- Strong understanding of system scalability, security, and performance optimization.
- Experience in high-ownership, startup, or fast-scaling engineering environments.
Technical Stack
- Languages & Frameworks: Python, Django, React, HTML5, CSS
- Data: PostgreSQL
- Cloud & Infrastructure: AWS, AWS Lambda, AWS ECS, AWS SageMaker
- Tools & Platforms: Docker, Kubernetes, CI/CD tools, MLOps tooling
Benefits & Compensation
- Competitive Salary: Based on experience and skills.
- Remote Work: Fully remote—work from anywhere.
- Performance Bonus: Based on data accuracy, reporting timeliness, and overall sales efficiency.
- Team Incentives: Recognition for maintaining 100% CRM hygiene and on-time reporting.
- Generous PTO: In accordance with company policy.
- Health Coverage for PH-based talents: HMO coverage after 3 months for full-time employees.
- Direct Mentorship: Guidance from international industry experts.
- Learning & Development: Ongoing access to resources for professional growth.
- Global Networking: Connect with professionals worldwide.
Work Mode
This is a fully remote, global position. Candidates are welcome from regions with strong English communication, including LATAM (e.g., Brazil, Argentina, Colombia), Africa (e.g., Egypt, Algeria, Morocco), and Asia (e.g., Philippines, Indonesia, Malaysia).
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.
