Full Stack Developer with Gen AI

Propertyvalue Quantum Technologies Llc
United States
6 days ago

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.

Apply for this position

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