Python Full Stack & AI-GenAI Engineer

Role & responsibilities

Roles & Responsibilities

• Design, develop, and lead Python-based full-stack and AI-GenAI applications.
• Build scalable REST APIs and responsive React.js front-end applications.
• Develop and optimize RAG pipelines, vector search, and Agentic AI workflows.
• Design secure authentication and authorization mechanisms.
• Build data ingestion and processing pipelines for structured/unstructured data.
• Mentor team members and contribute to architecture and technical decisions.

Must Have Skills

• Python, OOPs, Design Patterns, Unit Testing
• Flask, FastAPI, Django REST Framework
• Authentication & Authorization (JWT,OAuth,SSO)
• Data Ingestion, Data Pipelines, Large File Handling
• NumPy, Pandas, DataFrames, Prefect
• Performance Tuning & Code Optimization
• SQL, PL/SQL, Data Modeling, Shell Scripting
• React.js, Redux, React Hooks, Context API
• REST API Integration (Axios-Fetch)
• Jest, React Testing Library
• Git, CI-CD

AI / GenAI Skills

• LLM Integration, GenAI Tooling
• RAG Pipeline Development & Optimization
• LangChain, LangGraph, Sentence Transformers
• Hugging Face Transformers
• Vector Databases (FAISS, Qdrant, Weaviate)
• Embedding Models (OpenAI, BERT, or Similar)
• Agentic AI Workflows
• Semantic Search & Vector Search
• Grafana Monitoring & Observability