Python / AI Developer

National e-Governance Division; India; On-site; INR 1,200,000 - 2,500,000; Full time

Job summary

National e-Governance Division in India is seeking a Python/AI Developer to build, test and deploy AI-enabled, reusable components for NeGD projects, with a strong focus on hands-on GenAI/LLM implementation.

You will design and implement REST APIs, develop AI/GenAI-enabled features including LLM integration and RAG pipelines, and create reusable APIs and components for across multiple projects. Collaboration with senior architects and participation in testing and deployment are essential.

Qualifications

• 3–5 years of strong, hands-on Python development experience.
• Solid experience building and consuming REST APIs and working with microservice architectures.
• Mandatory hands-on AI/GenAI implementation experience — actual project/product experience required.
• Practical experience with LLM integration, RAG pipelines, embeddings and vector databases (e.g., FAISS, Pinecone, Chroma, Weaviate).
• Experience developing reusable APIs, services and components across multiple applications/projects.
• Working knowledge of SQL/NoSQL databases and ORMs.
• Familiarity with Git, Docker and basic CI/CD workflows.

Responsibilities

• Design, develop and maintain REST APIs and microservices using Python frameworks (e.g., FastAPI, Flask, Django).
• Build AI/GenAI-enabled features including LLM integration, Retrieval-Augmented Generation (RAG) pipelines, embeddings generation and vector search.
• Develop and maintain reusable APIs, services, SDKs and common components for use across multiple NeGD projects.
• Integrate third-party and open-source LLMs / AI models into enterprise applications, including prompt design and evaluation.
• Write clean, well-tested, well-documented and maintainable code following defined architecture and coding standards.
• Collaborate with the Senior Architect-Developer on system design, technical decisions and code reviews.
• Participate in unit testing, integration testing and deployment activities for the components developed.
• Troubleshoot, debug and optimize application performance, including AI/LLM response latency and accuracy.
• Document technical designs, APIs and reusable components for adoption by other project teams.

Skills

Python

REST APIs

AI/GenAI implementation

LLM integration

RAG pipelines

Embeddings

Vector databases

SQL/NoSQL

Git

Docker

CI/CD workflows

Education

B.E./B.Tech./MCA in CS/IT

Tools

FAISS

Pinecone

Chroma

Weaviate

Job description

Python / AI Developer

Experience Required :3 5 Years

Number of Positions :1

Role Summary

The Python / AI Developer will work under the guidance of the Senior Architect-Developer to build, test and deploy AI-enabled, reusable components and services for NeGD projects, with a strong focus on hands-on GenAI/LLM implementation.

Key Responsibilities

• Design, develop and maintain REST APIs and microservices using Python frameworks (e.g., FastAPI, Flask, Django).
• Build AI/GenAI-enabled features including LLM integration, Retrieval-Augmented Generation (RAG) pipelines, embeddings generation and vector search.
• Develop and maintain reusable APIs, services, SDKs and common components for use across multiple NeGD projects.
• Integrate third-party and open-source LLMs / AI models into enterprise applications, including prompt design and evaluation.
• Write clean, well-tested, well-documented and maintainable code following defined architecture and coding standards.
• Collaborate with the Senior Architect-Developer on system design, technical decisions and code reviews.
• Participate in unit testing, integration testing and deployment activities for the components developed.
• Troubleshoot, debug and optimize application performance, including AI/LLM response latency and accuracy.
• Document technical designs, APIs and reusable components for adoption by other project teams.

Mandatory Skills & Experience

• 3–5 years of strong, hands-on Python development experience.
• Solid experience building and consuming REST APIs and working with microservice architectures.
• Mandatory hands-on AI/GenAI implementation experience (not limited to theoretical knowledge) — actual project/product experience required.
• Practical experience with LLM integration, RAG pipelines, embeddings and vector databases (e.g., FAISS, Pinecone, Chroma, Weaviate).
• Experience developing reusable APIs, services and components intended for use across multiple applications/projects.
• Working knowledge of SQL/NoSQL databases and ORMs.
• Familiarity with version control (Git), containerization (Docker) and basic CI/CD workflows.

Preferred / Good-to-Have Skills

• Experience with LangChain, LlamaIndex or similar AI/LLM orchestration frameworks.
• Exposure to cloud AI services (Azure OpenAI, AWS Bedrock, Google Vertex AI).
• Prior experience on government, public sector or large-scale citizen services platforms.
• Basic understanding of frontend technologies for API/UI integration and testing.

Educational Qualification

B.E./B.Tech/MCA in Computer Science, IT