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Jobs for Humanity
Jobs for Humanity is a global movement and recruitment platform dedicated to connecting underrepresented talent with inclusive employers committed to fair-chance and diversity hiring. The platform operates tailored job boards and career programs for specific groups, including neurodivergent individuals, refugees, blind or visually impaired job seekers, single parents, Black leaders, returning citizens (formerly incarcerated individuals), and LGBTQIA+ professionals. By providing job coaching, automated applicant tracking system (ATS) integrations, and diversity, equity, and inclusion (DEI) training for employers, the organization aims to reduce systemic employment barriers and foster equal workplace opportunities worldwide.
Jobs for Humanity is partnering with abdulaziz to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from all walks of life.
Company Name: abdulaziz
We are seeking a Full-Stack AI Engineer to design and build end-to-end applications that integrate AI/ML and LLM capabilities into production-grade products.
Job Purpose
Own the engineering of reliable, scalable full-stack AI features-from model integration and deployment to APIs, data pipelines, performance/security optimization, and automated testing-delivering measurable improvements in accuracy, latency, and system robustness.
Job Duties and Responsibilities
- Full-stack application development
- Python (backend services)
- TypeScript/JavaScript (frontend and services)
- REST/GraphQL APIs
- Machine learning model integration (PyTorch/TensorFlow)
- LLM integration and prompt engineering
- Model deployment with FastAPI and Docker
- Database design and data access (PostgreSQL/MongoDB)
- Cloud platform engineering (AWS/GCP/Azure)
- Scalable APIs ownership
- Data pipeline ownership
- CI/CD and automated testing
- Version control (Git)
- Performance optimization
- Security hardening
Required Qualifications
- Proficiency in Python
- Proficiency in TypeScript/JavaScript
- Experience building REST and/or GraphQL APIs
- Hands-on experience integrating ML models using PyTorch and/or TensorFlow
- Experience with LLM integration and prompt engineering
- Experience deploying models (e.g., FastAPI, Docker)
- Experience with PostgreSQL and/or MongoDB
- Experience with cloud platforms (AWS/GCP/Azure)
- Strong CI/CD fundamentals and test automation
- Solid version control skills with Git
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