AI Full Stack Developer

BTI Solutions

• $120K — $150K *

San Jose, CA 95123In-Person

Information Technology

5 - 7 years of experience

Today

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Job Overview by Ladders

Qualifications

5-8 years of experience as a Full Stack Developer with specialized AI model deployment expertise.
Proficiency in backend languages like Python and related frameworks (FastAPI, Django).
Experience with modern JavaScript frameworks, specifically React.js and Node.js.
Familiarity with integrating AI models (e.g., OpenAI API, LangChain, PyTorch).
Experience with cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes).
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.

Responsibilities

Develop and maintain end-to-end AI applications with a focus on AI features.
Integrate machine learning models into web and mobile apps using popular frameworks.
Build and maintain scalable backend services and RESTful APIs integrated with LLMs.
Create interactive, responsive front-end components using modern frameworks like React.
Manage end-to-end deployment life cycles using Kubernetes and other containerization tools.
Handle database management for relational and NoSQL to support AI functionalities.
Collaborate with data scientists, product managers, and designers to create user-focused AI products.

Benefits

Flexible work arrangements to promote work-life balance.
Opportunities for professional development and growth within the AI sector.
Access to the latest tools and technologies for AI development.
A collaborative and innovative team environment.
Participation in AI and technology-focused conferences and workshops.

Full Job Description

AI Full Stack Developer
Job Summary
We are looking for a highly motivated AI Full Stack Developer to join our team to build, deploy, and maintain end-to-end applications that leverage generative AI models and agentic architectures. As a Full-stack AI Developer, will bridge the gap between AI research and production-ready applications, working across the entire stack from frontend interfaces to backend logic and machine learning models. Will be responsible for building, testing, and scaling AI-driven products.

Key Responsibilities

AI Application Development: Develop and maintain end-to-end AI applications, from user interfaces to backend logic, focusing on AI-powered features.
ML Model Integration: Implement machine learning models (using frameworks like PyTorch, TensorFlow, or scikit-learn) into web and mobile applications.
Backend & API Engineering: Build and maintain scalable backend services and RESTful APIs, often integrated with large language models (LLMs) and agentic frameworks.
Frontend Development: Create interactive, responsive front-end components for user interfaces using modern frameworks like React, Vue, or Next.js.
MLOps & Deployment: Manage end-to-end life cycles for production, including deployment workflows using Kubernetes, Cloud Run, or containerization tools to ensure high-performance applications.
Database Management: Manage both relational and NoSQL databases to support AI-powered functionality.
Collaboration: Work closely with data scientists, product managers, and designers to turn AI capabilities into user-focused products.

Required Qualifications & Skills

Experience: Proven experience(5~8 yrs. for Middle Level) as a Full Stack Developer with specialized experience in AI model deployment.
Backend Skills: Strong proficiency in Python and frameworks like FastAPI or Django.
Frontend Skills: Experience with modern JavaScript frameworks (React.js + Node.js,Next.js, Plotly Dash + FastAPI).
AI/ML Knowledge: Familiarity with AI model integration (e.g., OpenAI API, LangChain, PyTorch).
Cloud/DevOps: Experience in Cloud platforms (AWS, GCP, Azure) and container technologies (Docker, Kubernetes).
Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.

Preferred Qualifications

Experience with generative AI and agentic architectures.
Understanding of data privacy and security in AI applications.
PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field

* Ladders Estimates

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