Full Stack AI Engineer

Jobs for Humanity

. Build AI-Powered Products End-to-End.

Posted 4/29/2026full-timeRemote • California • 🇺🇸 United StatesMid-LevelSenior💰 $140,000 - $170,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoGoogle Cloud PlatformJavaScriptMicroservicesNext.jsNode.jsPythonReactTypeScript

About the role

Key responsibilities & impact

Build AI-Powered Products End-to-End.
Build and integrate AI/ML capabilities into production applications.
Own features from concept through deployment: frontend UI, API design, backend services, data pipelines, and AI model integration.
Rapidly prototype and iterate on AI-driven features.
Build responsive, accessible frontend interfaces using modern frameworks (React/Next.js or similar).
Design and implement scalable backend services and APIs (Python, Node.js, or similar).
Work with cloud infrastructure (Azure preferred).
Ensure production systems are reliable, observable, and secure.
Partner with Product Management, Design, Business owners, and Data Engineering to define and deliver high-impact features.
Participate in architectural decisions that affect the broader platform.

Requirements

What you’ll need

5+ years of professional software engineering experience shipping production applications.
Strong proficiency in both frontend (React, TypeScript, modern CSS) and backend (Python, Node.js, or Go) development.
Deep experience with AI coding tools like Cursor, Codex, Claude Code, etc.
Experience designing and building RESTful APIs, microservices, and event-driven architectures.
Solid understanding of relational and non-relational databases, caching strategies, and data modeling.
Experience with CI/CD pipelines, infrastructure as code, and cloud platforms (Azure preferred, AWS/GCP acceptable).
Hands-on experience integrating LLMs (OpenAI, Anthropic, or similar) into production applications.
Familiarity with RAG architectures, vector databases, embedding models, and MCP (Model Context Protocol) or similar tool-use patterns.
Understanding of when to build vs. buy AI capabilities and how to evaluate AI vendor tools critically.
Personal projects or portfolio demonstrating AI-powered applications you’ve built.

Benefits

Comp & perks

Opportunities to learn and develop every day through a wide range of programs.
Internal digital platforms that promote self-learning.
Development programs according to Leadership skills.
Specialized training according to the role.
Learning experiences with internal and external providers.
Recognition programs for seniority, behavior, leadership, moments of life, among others.
Financial wellness programs that will help you reach your goals in all stages of life.
A flexibility program that will allow you to balance your personal and work life.
WellnessLine, thousands of Agreements and Discounts, Scholarship programs for your children, Aid Plans for different moments of life.

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI/ML capabilitiesfrontend developmentbackend developmentAPI designdata pipelinesRESTful APIsmicroservicesevent-driven architecturesrelational databasesnon-relational databases

Soft Skills

collaborationcommunicationproblem-solvingcritical evaluationprototypingiterationarchitectural decision-making