cyberThink, Inc.
AI Full Stack Developer & Architect
San Jose, California, USA · Contract
Sponsorship not specifiedDetected 154 days ago
JavaScriptPythonReactNext.jsVue.jsNode.jsFastAPIBackend DevelopmentFull-Stack DevelopmentNoSQLAWSGCPAzureCloud PlatformsDockerKubernetesDevOpsRESTMachine LearningTensorFlowPyTorchscikit-learnLLMsMLOps
Stay score
odds of building a lasting career here
40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Context, not a finding about this posting: of this employer's 8 green-card filings in this occupation, 100% were for a worker who already held the job.
Third-party placement is common here
72% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 26 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: Samsung Electronics America · Samsung SDS America Inc · Midcontinent Independent System Operator Inc (MISOFiles as an H-1B dependent employer.
Green-card follow-through: 56%
Of 9 labor certifications old enough to have been used, 4 expired without the employer filing the next step. Median time from filing to decision: 484 days.85% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.
Files H-1B transfers
8 transfer filings in the last year, covering 8 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- 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.
- Collaboration: Work closely with data scientists, product managers, and designers to turn AI capabilities into user-focused products.
Responsibilities
- AI Application Development: Develop and maintain end-to-end AI applications, from user interfaces to backend logic, focusing on AI-powered features.
- 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.
- Develop and maintain end-to-end AI applications, from user interfaces to backend logic, focusing on AI-powered features.
Requirements
- 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.
- & Skills Experience: Proven experience(5~8 yrs. for Middle Level & 9+ yrs. for Sr.
- Bachelor s or Master s degree in Computer Science, Artificial Intelligence, or a related field.
- 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).
Nice to have
- Experience with generative AI and agentic architectures.
Skills
- Strong proficiency in Python and frameworks like FastAPI or Django.
- 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
- 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).
Benefits
- ML Model Integration: Implement machine learning models (using frameworks like PyTorch, TensorFlow, or scikit-learn) into web and mobile applications.
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