Full Stack & AI - GenAI Engineer (Python)

Seeking an experienced Python Full-Stack and AI/GenAI Engineer with expertise in Python, React.js, LLMs, RAG, agentic AI, and cloud-native application development. The ideal candidate should have hands-on experience in building scalable full-stack applications, AI-powered solutions, data pipelines, and enterprise-grade GenAI platforms.

Responsibilities:

• Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
• Design, develop, and lead Python-based full-stack and 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.

Requirements:

• Minimum 3+ years of Python development experience.
• Hands-on experience in React.js and AI/GenAI solution development.
• Strong problem-solving and scenario-based troubleshooting skills.
• 15 years of full-time education.

Must-Have Skills:

• Python, OOP, Design Patterns, Unit Testing.
• Flask, FastAPI, Django REST Framework.
• Authentication and Authorization (JWT, OAuth, SSO).
• Data Ingestion, Data Pipelines, Large File Handling.
• NumPy, Pandas, DataFrames, Prefect.
• Performance Tuning and 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 and Optimization.
• LangChain, LangGraph, and Sentence Transformers.
• Hugging Face Transformers
• Vector Databases (FAISS, Qdrant, Weaviate).
• Embedding Models (OpenAI, BERT, or Similar).
• Agentic AI Workflows.
• Semantic Search and Vector Search.
• Grafana Monitoring and Observability.

Good to Have:

• Docker, Kubernetes, Containerization.
• AWS-Azure Cloud
• Microservices Architecture.
• Azure OpenAI, Bedrock, LlamaIndex, MCP