Overview

The Full Stack Engineer — AI Specialist connects AI services to engaging user experiences while also leveraging AI-accelerated development practices to deliver faster, higher-quality software. They integrate AI endpoints into applications, optimize engineering workflows with AI tooling, and ensure projects move rapidly from prototype to production-ready systems.

Ideal Candidate Profile

Technical Expertise

-Front-End Development – React, Next.js, Tailwind, React Native for polished UX.

-Back-End Integration – Node.js/NestJS, REST/GraphQL APIs, auth, telemetry, feature flags.

-AI Services – Skilled at connecting OpenAI/Anthropic SDKs, LangChain endpoints, RAG pipelines.

-AI-Accelerated Development – Leverages AI copilots for code generation, test authoring, and refactoring.

-Automated Testing – Familiar with AI-driven QA frameworks, regression detection, bug prediction.

-Cloud Deployment – Proficiency with Vercel, Fly.io, serverless APIs, containerized microservices.

-Testing & Quality – Familiarity with Cypress, A/B testing frameworks, observability tooling.

Non-Negotiables

-Proven experience integrating AI APIs (LLMs, RAG, predictive models) into production apps.

-Fluency in modern web/mobile frameworks (React/Next.js/React Native, Node/NestJS).

-Ability to design and implement secure and scalable APIs (REST, GraphQL).

-Hands-on experience with deployment pipelines (Vercel, Fly, AWS Lambda, or similar).

-Strong collaboration across product, architecture, and backend specialists.

-Hands-on experience with AI-accelerated development tools (GitHub Copilot, Cursor, etc.).

-Proven ability to apply AI in code review, QA automation, and CI/CD pipelines.

Soft Skills & Mindset

-User-Centric – Obsessed with creating intuitive, engaging AI-driven experiences.

-Agile Builder – Moves quickly from prototype to iteration, balancing speed and quality.

-Collaborative – Works seamlessly with product managers, architects, and backend engineers.

-Pragmatic – Chooses integration paths that maximize impact with minimal complexity.

-Process Optimizer – Champions AI to accelerate developer workflows and team productivity.

Preferred Industry & Background

-Full-stack or front-end engineers who have added AI/GenAI experience.

-Startup builders or consultants integrating LLM-powered features into web/mobile apps.

-Engineers with SaaS, consumer apps, or workflow automation product experience.

-Professionals with experience applying AI copilots and AI-driven testing in software development pipelines.

Core Responsibilities

-Integrate AI endpoints (chat, retrieval, prediction) into web/mobile applications.

-Implement user-facing features including auth, telemetry, and feature toggles.

-Collaborate with architects and backend engineers to design scalable AI-driven apps.

-Iterate on UX with A/B testing and continuous feedback loops.

-Deploy applications using modern CI/CD and serverless deployment pipelines.

-Leverage AI tools (Copilot, Cursor, CodeWhisperer) to accelerate development speed and quality.

-Apply AI-assisted testing, bug detection, and automated code review in delivery workflows.

Traits That Stand Out

-Shipped production apps embedding AI features within web/mobile UIs.

-Fluent in AI-accelerated development, delivering faster with fewer defects.

-Bridges backend AI pipelines with front-end usability seamlessly.

-Delivers fast prototypes that evolve into stable, scalable applications.

-Explains AI features and workflows in terms of user experience and business value.

Join the Gigster AI Network

Work with some of the world's best engineers, product managers, and architects delivering real AI solutions. Gigster connects elite talent with high-impact projects — from rapid prototypes to production-grade AI systems.

Why Gigster?

Curated global network of top AI builders
Flexible, fully remote project work
Exposure to cutting-edge use cases across industries
AI-accelerated development using the latest tooling

Apply once and get preferential consideration for new engagements.