Build, deploy, and maintain end-to-end AI applications integrating ML models into web and mobile apps. Develop backend services and REST APIs, create responsive frontends, manage databases, and handle MLOps and containerized deployments. Collaborate with data scientists, product managers, and designers to scale AI-driven products.
Company Description
1 Yr Contract
Onsite
Mid- Level Pay Rate: ~$13,975/mo DOE
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.
Job Description- 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, 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
All your information will be kept confidential according to EEO guidelines.
Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
As a per diem Staff Pharmacist, you will ensure accurate medication orders, mentor staff, and oversee pharmacy operations, collaborating with healthcare teams for optimal patient care.
Top Skills:
MS OfficeParagonPyxis
eCommerce • Information Technology • Sharing Economy • Software
The Senior Financial Analyst will contribute to FP&A by preparing budgets, forecasts, and reports, while analyzing financial data and supporting investment strategies.
Top Skills:
LookerPythonSigmaSQLTableau
eCommerce • Information Technology • Sharing Economy • Software
The Social Media & Influencer Specialist at Taskrabbit will craft and execute social content strategies, manage organic channels, and collaborate on campaigns to enhance brand engagement and drive user interaction.
Top Skills:
Adobe PhotoshopCanvaCapcutDash Social
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
