E4 Software Services
VS01757 - Python & AI Application Developer (LLM / GenAI)
Skills
2 days ago
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Important information
Contract type:
Permanent
Location:
Mumbai, Maharashtra, India
Work mode:
Onsite
Published on:
22 October 2026
What they need
Job highlights
- GenAI Ecosystem: Hands-on experience with LLM APIs,Prompt Engineering,Vector Databases,and RAG frameworks (LangChain,LlamaIndex,etc.)
- Availability : Immediate Joiner only
- Experience: 2 - 4 Years .
- Core Tech: 2 to 4 years of strong Python programming experience (OOP,REST APIs)
Job Description
Python AI Application Developer (LLM / GenAI)
- 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.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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