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REQUIREMENT_ID_1582 β€’ 3-DAY_ACTIVE_POLICY

Fullstack Developer (Agentic/ Gen AI)

Company
Company Tech Mahindra
Type
Opportunity Type Full-Time Job
Salary
Stipend / Salary 5-15 LPA
Location
Location Pan India
Posted Date
Posted Date Yesterday
Python FastAPI Pydantic SQLAlchemy React TypeScript Vite PostgreSQL MongoDB Redis Celery Nginx Docker Docker Compose Pytest Playwright OpenAPI Swagger Kafka RabbitMQ Git Linux generative ai Agentic AI fullstack development Javascript Kubernetes
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Aptitude and Reasoning Practice Open Resource β†—
Helps sharpen analytical thinking and problem‑solving skills, essential for technical interviews at Naukri.com
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Technical Interview Preparation Open Resource β†—
Provides insights into common coding and system design questions asked by Naukri.com
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Coding Practice Platform Open Resource β†—
Offers a wide range of coding challenges to improve algorithmic proficiency for Naukri.com interviews
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Algorithmic Problem Solving Open Resource β†—
Focuses on data structures and algorithms, key to succeeding in coding rounds at Naukri.com

Any graduate (UG) with 50% or higher, no backlog. Preferred background in Computer Science, Information Technology, or related fields. Candidates should be comfortable with Python, JavaScript, and database concepts.

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Round 1: Technical (coding + system design)
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Round 2: Technical (architecture + AI integration)
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Round 3: HR
Tech Mahindra, a global IT services and consulting leader, has a rich legacy of delivering innovative technology solutions across industries. With a presence in over 90 countries and a workforce of more than 140,000 employees, the company is known for its customer‑centric approach, strong focus on digital transformation, and commitment to sustainable growth. The organization’s culture blends engineering excellence with a collaborative mindset, encouraging employees to experiment, learn, and contribute to cutting‑edge projects. The Fullstack Developer (Agentic/Gen AI) role is a pivotal position that bridges the gap between front‑end user experience and back‑end AI‑powered services. As a full‑stack engineer, you will design and build scalable web applications using Python and FastAPI for the backend, and React (with TypeScript and Vite) for the front‑end. Your responsibilities will include crafting clean REST APIs, integrating AI/ML inference services, ensuring robust authentication and security, and deploying containerized applications via Docker and CI/CD pipelines. Key responsibilities: 1. Design responsive UI components in React and manage state with modern hooks. 2. Build scalable FastAPI services, define Pydantic models, and implement database interactions using SQLAlchemy. 3. Integrate AI/ML/LLM services through REST or gRPC APIs. 4. Implement authentication, authorization, validation, and error handling. 5. Work with relational (PostgreSQL, MySQL) and NoSQL (MongoDB) databases. 6. Leverage Redis for caching and rate limiting. 7. Schedule background jobs with Celery or RQ. 8. Containerize applications using Docker and orchestrate with Docker Compose. 9. Write unit, integration, and end‑to‑end tests using Pytest, Playwright, and Vitest. 10. Collaborate with AI engineers, MLOps teams, and product managers. Tech stack: Python, FastAPI, Pydantic, SQLAlchemy, React, TypeScript, Vite, PostgreSQL, MongoDB, Redis, Celery, Nginx, Docker, Docker Compose, Pytest, Playwright, OpenAPI/Swagger, Kafka/RabbitMQ, Git, Linux. Growth path: Starting as a junior full‑stack developer, you can progress to senior developer, tech lead, or AI integration specialist. The company offers continuous learning programs, mentorship, and opportunities to work on high‑impact AI projects. Why join? Tech Mahindra’s global footprint, emphasis on innovation, and focus on AI/ML provide a stimulating environment for fresh talent. You’ll work on real‑world problems, gain exposure to cutting‑edge technologies, and build a career that blends software engineering with generative AI. Overall, this role offers a blend of technical challenge, creative problem‑solving, and career growth in a supportive, forward‑thinking organization.

Tech Mahindra β€” QA & Automation Testing Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC πŸ“–
Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

Open Resource β†—
COMPANY GUIDE 🎯
Tech Mahindra Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Tech Mahindra and off-campus tech roles.

Open Resource β†—
MOCK TESTS & PAPERS πŸ“
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

Open Resource β†—
CODING PRACTICE πŸ’»
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Open Resource β†—
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (Python, FastAPI, Pydantic, SQLAlchemy, React, TypeScript, Vite, PostgreSQL, MongoDB, Redis, Celery, Nginx, Docker, Docker Compose, Pytest, Playwright, OpenAPI, Swagger, Kafka, RabbitMQ, Git, Linux, generative ai, Agentic AI, fullstack development, Javascript, Kubernetes) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
Tech Mahindra Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the difference between Implicit Wait, Explicit Wait, and Fluent Wait in Selenium? Answer β–Ό
Model Answer: Implicit Wait sets a global timeout for all element lookups. Explicit Wait pauses execution until a specific ExpectedCondition (e.g. elementToBeClickable) is met. Fluent Wait allows defining polling frequency and ignoring specific exceptions like NoSuchElementException.
Explain the Page Object Model (POM) and its advantages in Test Automation. Answer β–Ό
Model Answer: POM is a design pattern that creates an object repository for web UI elements. It separates test scripts from page locators, reducing code duplication and making maintenance easy when UI elements change.
How do you handle dynamic WebElements whose ID changes on page reload? Answer β–Ό
Model Answer: Use dynamic XPath methods like contains(), starts-with(), text(), or XPath axes (ancestor, following-sibling, parent) instead of brittle absolute paths.
What is the difference between @BeforeMethod and @BeforeClass in TestNG? Answer β–Ό
Model Answer: @BeforeClass runs once before the first test method in the current class, while @BeforeMethod executes before each individual test method.
How do you validate REST API response codes and JSON payload using Postman / RestAssured? Answer β–Ό
Model Answer: In RestAssured: given().when().get('/endpoint').then().assertThat().statusCode(200).body('status', equalTo('ACTIVE')).
Why do you want to join Tech Mahindra as a Fullstack Developer (Agentic/ Gen AI)?
Preparation Tip: Highlight Tech Mahindra's market reputation, recent tech innovations, and how your skills in Python directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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