AI Full Stack Developer Architect

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 .
• 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

   

Qualifications :

• Experience: Proven experience(58 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 ( 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: Bachelors or Masters 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

Additional Information :

All your information will be kept confidential according to EEO guidelines.

 *** NO C2C ***

Remote Work :

No

Employment Type :

Contract