Full Stack Developer with Gen AI
Propertyvalue Quantum Technologies Llc
United States
6 days ago
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Role details
Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Compensation
$187,200.0
Working hours
Regular working hours
Job source
Tech stack
Amazon Web Services
Component-Based Software Engineering
Microsoft Azure
Bioinformatics
Cloud Computing
Software Design Patterns
Github
Python (Programming Language)
TypeScript
Large Language Models
Backend
Fastapi
+5 more
Containerization
Front End Software Development
Virtual Agents
Restful APIs
Docker
Job description
- Design and develop scalable frontend applications using Typescript and Python.
- Build and integrate REST APIs
- Collaborate with backend teams to ensure seamless frontend-backend integration. Equal Opportunity Employer: We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.
Requirements
- Strong Handson experience( 6-8 yrs of exp) in Python Programming & Typescript
- Good understanding of frontend architecture, design patterns, and component-based development.
- Experience in RESTful API development ( Fast API preferred) ,Hands-on experience with API integration, including front-end-to-backend communication.
- Experience working on GitHub, CI/ CD Pipelines
- Understanding of implementation of Agentic AI,Knowledge on how to implement solutions using LLM.
Nice to have Skills
- Experience in Vector DB will be added advantage
- Experience with cloud platforms such as AWS or Azure.
- Knowledge of containerization technologies like Docker and Kubernetes.
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