Sr. Technical Content Specialist - Python Full Stack

Info Edge; Bengaluru; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Info Edge is seeking a Sr. Technical Content Specialist with Python full-stack and AI/ML focus to build coding and project-based assessments across modern software technologies.

You will work across backend, frontend, databases, testing, DevOps and AI/ML in a fast-paced AI-first environment, creating practical problems and evaluating solutions.

Qualifications

• Strong Python programming and software development fundamentals.

Responsibilities

• Technical Content & Assessment Engineering for coding problems, database and API assessments.
• Design and develop project-based coding assessments spanning backend, frontend and AI topics.
• Create problem statements, requirements, solutions, test cases and evaluation criteria.
• Review content for technical correctness and edge cases.
• Translate client requirements into clear assessments.

Skills

Python programming

Problem-solving

Software engineering fundamentals

Django

FastAPI

REST APIs

SQL databases

MongoDB

HTML/CSS/JS/React

Pytest

Git

Docker

CI/CD

AI fundamentals

NumPy

Pandas

scikit-learn

LLM APIs

Embeddings

RAG

AI agents

Tools

Docker

Git

CI/CD

Job description

Sr. Technical Content Specialist - Python Full Stack & AI/ML

Location: HSR Layout, Bangalore

Employment Type: Full-Time

Experience: 1 - 3 years

About the Role

We are looking for a Sr. Technical Content Specialist Python Full Stack & AI/ML to join our technical content team and build high-quality coding and project-based assessments across modern software technologies. This role is ideal for someone with strong Python and software development fundamentals who wants to work across backend, frontend, databases, testing, DevOps and AI/ML. You will work in a fast-paced, AI-first environment, where you will not only create technical content but also research new technologies, build proof-of-concepts, integrate technologies and use modern AI tools and agents to accelerate development and content creation.

Key Responsibilities

• Technical Content & Assessment Engineering
• Design and develop coding problems, database problems, API assessments and project-based coding assessments.
• Create practical problems across beginner to advanced difficulty levels that evaluate real-world engineering skills.
• Develop problem statements, requirements, solutions, test cases and evaluation criteria.
• Review content and solutions for technical correctness, difficulty, code quality and edge cases.
• Identify loopholes and ensure incorrect solutions do not incorrectly pass test cases.
• Translate client requirements into clear and technically accurate assessments.
• Python Full-Stack Development

Work across the Python full-stack ecosystem, including:

• Python, Django and FastAPI
• REST APIs and backend development
• SQL databases MySQL, PostgreSQL and MS SQL
• MongoDB and NoSQL
• HTML, CSS, JavaScript and React
• API integration and backend/frontend communication
• Pytest and API testing
• Git, Docker and CI/CD fundamentals AI/ML & Generative AI Contribute to modern AI/ML content and projects involving:
• Python ML ecosystem NumPy, Pandas and scikit-learn
• Machine learning fundamentals
• Generative AI and LLM APIs
• Prompt engineering
• Embeddings and vector databases
• RAG applications
• AI agents and tool calling
• AI-powered application development R&D & Technology Integration
• Research and experiment with emerging technologies, frameworks and developer tools.
• Build proof-of-concepts to evaluate new technologies.
• Integrate multiple technologies to create realistic end-to-end applications.
• Identify technologies relevant to modern software engineering and hiring.
• Convert R&D findings into technical content, assessments and projects. AI-Assisted Development
• Work with modern AI coding assistants and AI agents for research, development, testing and content creation.
• Evaluate AI-generated code and identify its limitations.
• Explore agentic development workflows and AI-assisted engineering practices.
• Use AI to improve development productivity, test coverage and content quality.

Who Were Looking For

• 1+ year of experience in software development, technical content, QA automation, technical training or a related technical role.
• Strong Python programming, problem-solving and software engineering fundamentals.
• Hands-on experience with Django or FastAPI, with an understanding of REST APIs and backend development.
• Good understanding of SQL and relational databases; exposure to MongoDB/NoSQL is a plus.
• Basic understanding of frontend technologies such as HTML, CSS, JavaScript and React.
• Familiarity with Pytest, API testing, Git and Docker; exposure to Selenium/Playwright or CI/CD is a plus.
• Understanding of AI/ML fundamentals and familiarity with technologies such as NumPy, Pandas, scikit-learn, LLM APIs, RAG or embeddings.
• Ability to read, debug and review code written by others.
• Strong attention to detail and ability to identify edge cases, logical issues and loopholes.
• Ability to explain technical concepts clearly and convert technical requirements into practical problems.
• Curious by nature and comfortable learning unfamiliar technologies quickly.
• Ability to independently research a technology, build a prototype and turn the learning into practical content.
• Strong interest in AI-assisted development, AI coding tools and modern AI agents.
• Comfortable working in a fast-paced environment with changing technologies and priorities.

Why Join Us?

Learn by building. Work on real engineering problems instead of repetitive content creation. Stay ahead of technology. Research and experiment with emerging frameworks, AI technologies and developer tools. Work AI-first. Get hands-on experience with AI tools and agents and learn how to combine them with engineering judgment. Build breadth. Grow across Python Django/FastAPI React Databases APIs Docker AI/ML GenAI AI Agents. Create impact. Your work will directly contribute to technical assessments and projects used by learners and enterprise clients. Grow with the role. Develop toward becoming a Technical Content Lead / Technology Specialist, with increasing ownership of a technology domain, its content, R&D and technology adoption.