Company Description Network Science is a global AI company founded in London in 2020 with a mission to help enterprises become AI-first in day-to-day operations. The company has delivered over 150 AI programs for more than 100 enterprise clients, including 25 blue-chip organizations, achieving strong ROI and co-creating proprietary AI IP with major partners.

Network

Science works across functions such as Finance, Sales, Marketing, Operations, HR, Manufacturing, and Logistics, without vertical limits or mid-program hand-offs. Its core offerings include AIOffice for AI adoption, Co-Create.AI for co-building AI products, NSOffice.AI as an enterprise AI system of context, and the Deep Tech Innovation Alley connecting AI startups to global decision-makers. Recognized by leading industry bodies and included in prominent growth and innovation indices, Network Science focuses on turning AI investments into measurable business impact.

Experience: 2–4 Years

Employment Type: Full-Time

Role Summary

We are looking for a highly motivated Python & AI Application Developer with 2–4 years of experience in developing, deploying, and maintaining AI-powered applications. The ideal candidate should have hands-on experience with Python programming, Large Language Model (LLM) APIs (OpenAI, Anthropic, Gemini, etc.), web application development, cloud hosting, and modern AI application frameworks.

The candidate will be responsible for designing, building, deploying, and supporting GenAI applications that solve real business problems across sales, operations, analytics, customer service, and knowledge management.

Key Responsibilities

Application Development

- Design and develop scalable applications using Python.




- Build web applications and APIs using frameworks such as FastAPI, Flask, or Django.
- Develop AI-powered solutions using LLM APIs.
- Integrate applications with databases, enterprise systems, and third-party APIs.
- Build user-friendly interfaces using Streamlit, React, or similar technologies.

AI & LLM Development

- Integrate and optimize OpenAI, Anthropic, Gemini, and other LLM APIs.
- Develop Retrieval-Augmented Generation (RAG) solutions.
- Implement prompt engineering techniques to improve response quality.
- Build document processing and knowledge search solutions.
- Develop AI agents and workflow automation solutions.
- Optimize token consumption, response quality, and application performance.

Data & Database Management

- Design and manage SQL and NoSQL databases.
- Work with PostgreSQL, MySQL, SQLite, DuckDB, or similar databases.
- Develop ETL and data ingestion pipelines.
- Handle structured and unstructured data.

Cloud & Deployment

- Deploy applications on cloud platforms such as AWS, Azure, or Google Cloud.
- Manage application hosting and monitoring.
- Configure CI/CD pipelines.
- Work with Docker containers and cloud-native deployment approaches.
- Ensure application security, scalability, and performance.

Maintenance & Support

- Troubleshoot application issues and performance bottlenecks.
- Monitor production applications.
- Implement logging, auditing, and security controls.




- Provide technical support and enhancements.

Required Technical Skills

Programming

- Solid proficiency in Python.
- Good understanding of Object-Oriented Programming (OOP).
- Experience with REST APIs.

AI / GenAI

- Experience working with:
- OpenAI APIs
- Anthropic Claude APIs
- Gemini APIs
- Azure OpenAI (preferred)
- Prompt Engineering.
- RAG Architecture.
- Vector Databases.
- AI Agents and Tool Calling.

Frameworks

- FastAPI
- Flask
- Streamlit
- Django (optional)

Databases

- SQL
- PostgreSQL
- MySQL
- SQLite
- DuckDB

Cloud & DevOps

- AWS / Azure / GCP
- Docker
- Git & GitHub
- CI/CD Pipelines

Front-End (Preferred)

- HTML, CSS, JavaScript
- React
- Streamlit UI Development

Desired Skills

- Experience building enterprise AI applications.
- Experience with LangChain, LlamaIndex, CrewAI, AutoGen, or similar frameworks.
- Knowledge of vector databases such as:
- Pinecone
- ChromaDB
- FAISS
- Weaviate
- Understanding of security and authentication mechanisms.
- Experience integrating SAP, SharePoint, Microsoft 365, Salesforce, or ERP systems.
- Experience in data analytics and dashboard development.

Educational Qualification

- Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field.
- Relevant certifications in AI, Cloud, or Python will be an advantage.

Success Criteria The selected candidate should be able to independently:

- Build AI applications from concept to production.
- Integrate LLM APIs and enterprise data sources.
- Deploy and manage applications on cloud infrastructure.
- Optimize performance, cost, and scalability.
- Deliver production-ready solutions with minimal supervision.

📌 Python Developer (Mumbai)
🏢 Network Science
📍 Mumbai