
GenAI Full Stack Developer
eTeam · Phoenix, AZ · Onsite
Strong hiring record · median 4 days open
Hiring signal
Actively hiring
Posted 5 days ago · still listed on the employer's own board · How we score
All reasons
In its favour
- Posted 5 days ago
- Still listed on the employer's own board
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
- Develop and deploy enterprise-grade applications leveraging Generative AI and LLMs.
- Design and implement intelligent conversational systems, copilots, chatbots, and AI assistants.
- Build scalable backend services using Python (FastAPI, Flask, Django).
- Develop responsive and user-friendly applications using React.js or Angular.
- Implement RAG (Retrieval-Augmented Generation) architectures using vector databases and enterprise knowledge sources.
- Integrate LLM services such as OpenAI, Azure OpenAI, Claude, Gemini, or Llama models into business applications.
- Create and optimize prompts, embeddings, and AI workflows for improved accuracy and performance.
- Develop REST APIs and microservices for seamless frontend-backend integration.
- Collaborate with product managers, architects, and cross-functional teams to translate business requirements into AI-driven solutions.
- 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
Skills
- Generative AI
- Phoenix
- Python
- LLM
- React
- Angular
- OpenAI
- Azure OpenAI
- Anthropic Claude
- Gemini
- Llama
- Prompt Engineering
- Retrieval-Augmented Generation
- Embeddings
- Vector Databases
- LangChain
- LangGraph
- LlamaIndex
- Semantic Kernel
- FastAPI
- Flask
- Django
- TypeScript
- JavaScript
- HTML
- CSS
- Redux
- SQL
- PostgreSQL
- MySQL
- MongoDB
- Pinecone
- Chroma
- FAISS
- Azure AI Search
- Azure
- AWS
- GCP
- Docker
- Kubernetes
- GitHub Actions
- Azure DevOps
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