GEN AI Engineer with React W2 Only
Job Location:
Job Location:
Irving, TX - USA
Monthly Salary:
Not Disclosed
Monthly Salary:
Posted on:
3 days ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Job Title: Software Engineer
Location: Irving TX (Onsite)
W2 Position
| Name | ||||||||||||||||||||||||||
| Claude | ||||||||||||||||||||||||||
| Generative AI | ||||||||||||||||||||||||||
| GCP | ||||||||||||||||||||||||||
| Langchain | ||||||||||||||||||||||||||
| Pinecone | ||||||||||||||||||||||||||
| Large Language Models | ||||||||||||||||||||||||||
| Open AI | ||||||||||||||||||||||||||
| Restful APIs | ||||||||||||||||||||||||||
| Azure | ||||||||||||||||||||||||||
| Flask | ||||||||||||||||||||||||||
| AWS | ||||||||||||||||||||||||||
| Python | ||||||||||||||||||||||||||
| React JS |
Interview Process:
1st Round
Karat Technical Assessment (Please include the CWRs email address on their resume)
Final client interview (after clearing both rounds)
Job Summary
We are looking for a Software Engineer with strong experience in Generative AI and modern Python-based development. The ideal candidate will design and build advanced AI-driven systems including LLM-based applications agent workflows and scalable backend services.
Key Responsibilities
Design and develop Generative AI applications using Python and LangChain
Build and orchestrate stateful AI workflows and multi-agent systems using LangGraph
Develop and deploy LLM-based solutions (OpenAI Azure OpenAI Claude etc.)
Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases
Integrate AI services with enterprise systems APIs and data platforms
Develop backend services and APIs using FastAPI / Flask
Optimize AI workflows for performance scalability and reliability
Apply prompt engineering and agent orchestration patterns
Collaborate with cross-functional teams on delivery and integration
Ensure best practices in testing monitoring deployment and production readiness
Required Skills
Strong programming experience in Python (3.x)
Hands-on experience with:
LangChain
LangGraph
Experience working with Large Language Models (LLMs) and Generative AI
Experience with RAG pipelines and vector databases (Pinecone FAISS Weaviate)
Experience building and consuming REST APIs
Familiarity with cloud platforms (AWS Azure or GCP)
Strong backend experience with FastAPI
Solid frontend experience using (hooks state management)
Experience Requirements
6 8 years of overall software engineering / AI/ML experience
Minimum 2 3 years of hands-on experience in AI / LLM-based application development
Years of Experience: 13.00 Years of Experience
