Senior Full Stack Developer – AI & Data Platform
- Location
- Pan India
- Salary
- Not specified
- Company
- Akash pawar
Job description
Role & Company / Project Overview: We are hiring a Senior Full Stack Developer – AI & Data Platform. We are looking for a skilled Full Stack Developer with strong expertise in Python, FastAPI, React, PostgreSQL, and Applied AI to build scalable, AI-powered data applications. Key Responsibilities & Daily Duties: • Develop and maintain scalable backend services using Python, FastAPI, REST APIs, asynchronous programming, and PostgreSQL. • Build responsive user interfaces and integrate streaming APIs using React.js. • Work on Applied AI features, LLM integrations, embeddings, semantic search, vector databases (pgvector), and prompt engineering. • Design, manage, and optimize relational databases, cloud data warehouses, data connectors, and data synchronization pipelines. • Build interactive dashboards and rich data visualizations utilizing libraries like D3, ECharts, Recharts, or Plotly. Required Qualifications, Skills & Experience: • Minimum 5+ years of software development experience. • Strong full-stack development knowledge across backend, frontend, and databases. • Hands-on expertise in Python, FastAPI, REST APIs, asynchronous programming, and PostgreSQL. • Proven proficiency in React.js, responsive UI development, and streaming APIs. • Demonstrated exposure to LLMs, AI integrations, embeddings, semantic search, vector databases (pgvector), and prompt engineering. • Experience with relational databases, cloud data warehouses, data connectors, and data synchronization pipelines. • Familiarity with visualization tools such as D3, ECharts, Recharts, or Plotly. • Proven experience working with AI/LLM-based applications. • Excellent problem-solving and collaboration skills. Working Hours, Shifts & Location Details: • Work Location: 100% Remote Opportunity. Compensation & Benefits: • Not specified. Application Instructions: • Interested candidates are requested to share their updated CV via email as designated in the contact details.