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Entry Level Full Stack Architect Jobs (NOW HIRING)

Marlabs LLC

AI Full Stack Architect

San Jose, CA

AI Full Stack Architect Location: San Jose, CA Duration: 12 Months 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 ...

Tech Tammina LLC

Jr. Full-Stack Developer

Warren, MI · On-site

Warren, MI Duration: Long term About the role: · We're looking for an entry-level Full-Stack Developer to join our team and contribute across the stack--from fine-tuning user experiences to enabling ...

SansuTek Inc.

GenAI Full Stack Architect

Boston, MA

Experience in software development with strong full stack capabilities - Proven experience in building GenAI applications like chatbots, agents, and RAG systems. Solid understanding of LLMs, prompt ...

Navtech, Inc.

Java Full stack Architect

Chicago, IL · On-site

$65 - $87.75/hr

Java Fullstack Architect Location : Chicago IL Jobtype : Contract Need 10+Years Overall Experience ... stack • Basic understanding of front-end technologies, such as HTML5, and CSS3 • Familiarity ...

Infosys

Java Full Stack Architect with AI

Tempe, AZ · On-site

$61.25 - $82.75/hr

The Architecture Consultant 2 will analyze system requirements, provide architectural solutions ... Preferred : • Experience in Angular / full stack exposure • Experience in Test automation • ...

Infosys

Java Full Stack Architect with AI

Richardson, TX · On-site

$57.25 - $77.25/hr

The role of Architecture Consultant 2 involves participating in customer discussions to gather ... Preferred : • Experience in Angular / full stack exposure • Experience in Test automation • ...

Infosys

Java Full Stack Architect with AI

Plano, TX · On-site

$60.75 - $81.75/hr

The role of Architecture Consultant 2 involves participating in customer discussions, providing ... Preferred : • Experience in Angular / full stack exposure • Experience in Test automation • ...

Infosys

Java Full Stack Architect with AI

Reston, VA · On-site

$65.75 - $88.50/hr

In the role of Architecture Consultant 2, you will participate in customer discussions, provide ... Preferred : • Experience in Angular / full stack exposure • Experience in Test automation • ...

The LaSalle Group

Sr. Full Stack Engineer

Chicago, IL · On-site

$160K - $180K/yr

Participate in architectural discussions and technical decision-making * Contribute to code reviews ... entry-level positions to the C-suite. With units specializing in Accounting and Finance ...

Noblesoft Technologies

Full Stack Java Architect

Chicago, IL · On-site

$65 - $87.50/hr

Full Stack Java Architect with Angular Location: Chicago IL (onsite) ​​​​​ Job Summary: * Proficiency in Devops solutions and tools such as Jenkins, docker, kubernetes * Strong experience ...

Mastech Digital

Be Seen First

Full Stack Developer

Smithfield, RI · On-site

Collaborate with product owners, architects, and engineering teams throughout the software ... Full Stack Development

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How much do entry level full stack architect jobs pay per year?

As of Jun 7, 2026, the average yearly pay for entry level full stack architect in the United States is $174,017.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,500.00 and $205,000.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Full Stack Architect jobs? The most popular types of Full Stack Architect jobs are:
Entry Level Full Stack Architect jobs near you
AI Full Stack Architect

AI Full Stack Architect

Marlabs LLC

San Jose, CA

Other

Posted 19 days ago

Job description

AI Full Stack Architect

Location: San Jose, CA

Duration: 12 Months

 

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 & 9+ yrs. for Sr. 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, Google Cloud Platform, 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.

Apply