Full Stack AI Developer

Bee Talent Solutions

Austin (TX)

On-site

USD 124,424 - 128,571

Full time

14 days+

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Job summary

A leading company is seeking a skilled Contract Full Stack AI Developer to join their AI Productivity team. You will build innovative AI-powered applications leveraging Google's Gemini models, focusing on both front-end and back-end development. Responsibilities include developing scalable applications, integrating AI models, and collaborating with cross-functional teams. This role offers the chance to work on cutting-edge AI innovations in a dynamic environment.

Qualifications

Experience with API design and database systems.
Solid understanding of cloud platforms and AI/ML concepts.

Responsibilities

Develop and maintain scalable full-stack applications.
Integrate and optimize Gemini and other AI/ML models.
Collaborate with AI/ML, Product, and Design teams.

Skills

API design

cloud platforms

problem-solving

communication

collaboration

Tools

Docker

Kubernetes

Google Cloud AI Platform

Vertex AI

Job description

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This range is provided by Bee Talent Solutions. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$90.32/hr - $93.33/hr

Our client is seeking a skilled Contract Full Stack AI Developer to join our AI Productivity team. You'll be instrumental in building innovative AI-powered applications, focused on leveraging Google's Gemini models.

Responsibilities:

Develop and maintain scalable full-stack applications, integrating Gemini AI models.
Build user-friendly front-ends (React, Angular, Vue.js, etc.) and robust back-end systems/APIs (Python, Node.js, Go).
Integrate, fine-tune, and optimize Gemini and other AI/ML models.
Develop data pipelines and implement secure authentication/authorization.
Collaborate with AI/ML, Product, and Design teams to deliver technical solutions.
Stay current with AI advancements, especially in LLMs and multimodal AI.

Requirements:

Demonstrable experience with API design (RESTful/GraphQL) and database systems (SQL/NoSQL).
Solid understanding of cloud platforms (GCP highly preferred, AWS, Azure), containerization (Docker, Kubernetes), and AI/ML concepts.
Experience integrating AI/ML models is highly desirable; direct experience with Google Cloud AI Platform (Vertex AI) and Gemini models is a major plus.
Strong problem-solving, communication, and collaboration abilities.

Highly Desirable:

Experience with prompt engineering, LLM fine-tuning, or multimodal AI.
Familiarity with MLOps, testing frameworks, and CI/CD pipelines.

Project Highlights:

Opportunity to work on cutting-edge AI innovation within a dedicated Gemini Center.
Collaborate with a dynamic team on impactful projects.
Gain hands-on experience with Google's latest Gemini models and Vertex AI.

Seniority level