GenAI Full Stack Developer

Strong understanding of Prompt Engineering, RAG Frameworks, Embeddings, Vector Databases, Fine-Tuning Concepts, AI Agents and Agentic Workflows. Implement RAG (Retrieval-Augmented Generation) architectures using vector databases and enterprise knowledge sources.

Job title: GenAI Full Stack Developer
Location: (Fort worth, TX /Phoenix, AZ/ Charlotte, NC/ Detroit, Michigan) (Onsite)
Duration: 06 Months

In-person interview: Yes (2nd round)

Minimum years of experience required: 8-10 years
Education Qualification required: Bachelor s / Masters

Must have skills:
GenAI | Python | LLMs | React/Angular

Generative AI & LLMs
" Hands-on experience with OpenAI, Azure OpenAI, Anthropic Claude, Gemini, Llama, or similar LLM platforms.
" Strong understanding of Prompt Engineering, RAG Frameworks, Embeddings, Vector Databases, Fine-Tuning Concepts, AI Agents and Agentic Workflows.
" Experience with LangChain, LangGraph, LlamaIndex and Semantic Kernel.

Backend Development
" Strong programming skills in Python.
" Experience with FastAPI, Flask and Django.
" Knowledge of API development, microservices, and asynchronous programming.

Frontend Development
" Strong hands-on experience with React.js or Angular.
" Proficiency in TypeScript/JavaScript, HTML5, CSS3 and Redux/State Management.

Database & Search Technologies
" SQL: PostgreSQL, MySQL.
" NoSQL: MongoDB.
" Vector Databases: Pinecone, ChromaDB, FAISS and Azure AI Search.

Cloud & DevOps
" Experience with Azure, AWS, or GCP.
" Knowledge of Docker, Kubernetes, GitHub Actions / Azure DevOps and CI/CD Pipelines.

Detailed Job Description:
1. Develop and deploy enterprise-grade applications leveraging Generative AI and LLMs.
2. Design and implement intelligent conversational systems, copilots, chatbots, and AI assistants.
3. Build scalable backend services using Python (FastAPI, Flask, Django).
4. Develop responsive and user-friendly applications using React.js or Angular.
5. Implement RAG (Retrieval-Augmented Generation) architectures using vector databases and enterprise knowledge sources.
6. Integrate LLM services such as OpenAI, Azure OpenAI, Claude, Gemini, or Llama models into business applications.
7. Create and optimize prompts, embeddings, and AI workflows for improved accuracy and performance.
8. Develop REST APIs and microservices for seamless frontend-backend integration.
9. Collaborate with product managers, architects, and cross-functional teams to translate business requirements into AI-driven solutions.
10. Follow best practices in software engineering, testing, security, and CI/CD.

Relevant Experience on Mandatory Skills: 8-10 years
Education: Bachelor s / Masters

The top 3 responsibilities:
Airlines domain exp, in-person interview, Airlines and Finance exp is added advantage