Python / AI Developer

National e-Governance Division; Delhi; On-site; INR 1,800,000 - 2,600,000; Full time

Job summary

National e-Governance Division in Delhi seeks a Python/AI Developer to build and deploy AI-enabled components for NeGD projects. You will work under senior architects to deliver hands‑on GenAI/LLM solutions with REST APIs and microservices.

Role requires 3–5 years of Python experience, real AI project work, and familiarity with vector stores and modern AI tooling. Contractual role for 3 years with on-site duties in Delhi.

Qualifications

• 3–5 years hands‑on Python development experience.
• Strong REST APIs and microservices experience.
• Hands‑on AI/GenAI implementation experience with projects.

Responsibilities

• Design, develop and maintain REST APIs and microservices with Python frameworks.
• Build AI/GenAI features including LLM integration and RAG pipelines.
• Develop reusable APIs and components for multiple NeGD projects.
• Integrate third‑party LLMs and design prompts for evaluation.
• Write clean, tested, well‑documented code following standards.
• Collaborate on system design and code reviews with seniors.
• Participate in unit, integration testing and deployments.
• Troubleshoot performance and latency for AI/LLM components.
• Document designs, APIs and reusable components for other teams.

Skills

Python development

REST APIs

Microservices

AI/GenAI

LLM integration

RAG pipelines

Embeddings/vector stores

SQL/NoSQL

Git

Docker

CI/CD

Education

BE/B.Tech/MCA in CS/IT

Tools

FastAPI

Flask

Django

FAISS

Pinecone

Chroma

Weaviate

Job description

Please note this is a Contractual role initially for 3 years

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.