VS01757 - Python & AI Application Developer (LLM / GenAI)

E4 Software Services Pvt Ltd.; Mumbai; Sur place; INR 1 500 000 - 2 100 000; Plein temps

Résumé du poste

E4 Software Services Pvt Ltd. in Mumbai is seeking a hands-on Python & AI Application Developer to build production-ready Generative AI solutions that combine LLMs, RAG, and robust backend frameworks.

You will design scalable Python apps integrating with LLM APIs (OpenAI, Azure OpenAI), implement RAG pipelines, and deliver APIs with FastAPI/Flask and interactive UIs via Streamlit or React. The role covers data handling with PostgreSQL, containerization with Docker, and deployment on cloud

Qualifications

• 2-4 years Python development experience.
• Experience with LLM APIs and RAG architectures.
• Proficiency with FastAPI/Flask/Streamlit and REST APIs.

Responsabilités

• Build AI Apps: design and develop scalable Python apps integrated with LLM APIs.
• Architect GenAI Solutions: implement RAG pipelines, vector stores, prompt engineering.
• Develop APIs & UIs: build backend services with FastAPI/Flask and interactive front-ends with Streamlit/React.
• Manage Data & Cloud: handle SQL/NoSQL databases and deploy containerized apps using Docker and cloud platforms.
• Own the Lifecycle: take solutions from concept to production with performance and security in mind.

Connaissances

Python

GenAI

LLM APIs

FastAPI

Flask

Streamlit

Docker

PostgreSQL

Git/GitHub

RAG

Outils

Docker

Git/GitHub

Description du poste

• Experience: 2 - 4 Years
• Location: Mumbai- Work From Office
• Employment Type: Full-Time
• Availability : Immediate Joiner only

About the Role

We are looking for a sharp, hands-on Python & AI Application Developer to build cutting-edge, production-ready Generative AI solutions. If you are passionate about building real-world enterprise applications that combine LLMs, RAG architectures, and robust backend frameworks to solve complex business problems, we want you on our team!

What Youll Do

• Build AI Apps: Design and develop scalable Python applications integrated with LLM APIs (OpenAI, Claude, Gemini, Azure OpenAI).
• Architect GenAI Solutions: Implement RAG pipelines, vector databases, prompt engineering, and autonomous AI agents.
• Develop APIs & UIs: Build fast, clean backend services using FastAPI / Flask and interactive front-ends using Streamlit / React.
• Manage Data & Cloud: Handle SQL/NoSQL databases (PostgreSQL, DuckDB) and deploy containerized applications using Docker and cloud platforms (AWS/Azure/GCP).
• Own the Lifecycle: Take solutions from concept to production, ensuring performance, security, and scalability.

What You Need

• Core Tech: 2 to 4 years of strong Python programming experience (OOP, REST APIs).
• GenAI Ecosystem: Hands-on experience with LLM APIs, Prompt Engineering, Vector Databases, and RAG frameworks (LangChain, LlamaIndex, etc.).
• Backend & Web: Proficiency in FastAPI, Flask, or Streamlit.
• Databases & DevOps: Solid working knowledge of SQL/PostgreSQL and containerization tools like Docker and Git/GitHub.
• Mindset: Problem-solving attitude, independent execution, and a passion for emerging AI tech.