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REQUIREMENT_ID_354 β€’ 3-DAY_ACTIVE_POLICY

Interns, Engineering Operations – AI & Agentic Automation

Company
Company Harman
Type
Opportunity Type Internship
Salary
Stipend / Salary Rs 25,000/month
Location
Location Bangalore, Karnataka, India
Posted Date
Posted Date Today
Python LLMs Agentic AI Prompt Engineering REST APIs OpenAI Microsoft Copilot Studio n8n automation analytical thinking communication
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Aptitude Practice Questions Open Resource β†—
Helps sharpen logical reasoning and quantitative skills essential for technical interviews at Harman.
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Company Interview Preparation Open Resource β†—
Provides insights into typical interview questions and company‑specific scenarios for Harman roles.
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Coding Practice Open Resource β†—
Offers a variety of coding problems to improve algorithmic thinking for Harman technical interviews.
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Algorithmic Challenges Open Resource β†—
Focuses on data structures and algorithms to prepare for Harman’s coding rounds.

Bachelor’s (B.E./B.Tech) in Computer Science, Artificial Intelligence, Machine Learning, or related discipline. Minimum 60% or 6.5 CGPA. No backlogs. Candidates should be pursuing or have recently completed their degree. Preference for those with hands‑on experience in AI, LLMs, or automation projects.

1
Round 1: Technical screening
2
Round 2: Technical interview (AI/ML focus)
3
Round 3: HR interview
Harman, a global leader in connected technology, has been shaping the future of sound and digital experiences since the 1920s. With iconic brands like JBL, Mark Levinson, and Revel, the company delivers cutting‑edge automotive, lifestyle, and digital transformation solutions that make everyday moments extraordinary. Harman’s culture is built on innovation, collaboration, and a relentless pursuit of excellence, empowering employees to bring their whole selves to work and to push the boundaries of what technology can achieve. The Intern – Engineering Operations – AI & Agentic Automation role is a unique opportunity to work at the intersection of business operations and advanced AI. As an intern, you will partner with business stakeholders to map out existing workflows, identify bottlenecks, and design AI‑powered agents that streamline processes and enhance decision‑making. You will build prototypes using modern LLMs and agentic AI platforms, integrate them with enterprise tools via REST APIs, and iterate based on real‑time feedback. The role is ideal for students or recent graduates who thrive on experimentation, enjoy translating business needs into technical solutions, and are passionate about the future of intelligent automation. Key Responsibilities: 1. Analyze current business processes and pinpoint automation opportunities. 2. Design, develop, and deploy AI agents that support operational workflows. 3. Build LLM‑powered solutions using platforms such as OpenAI, Microsoft Copilot Studio, or n8n. 4. Integrate AI agents with enterprise tools, APIs, and business systems. 5. Prototype, test, and refine automations based on stakeholder feedback. 6. Collaborate with cross‑functional teams to translate business requirements into scalable AI solutions. 7. Document design decisions, architecture, and best practices. 8. Stay updated on emerging AI, LLM, and agentic technologies. 9. Participate in code reviews and knowledge sharing sessions. 10. Contribute to the continuous improvement of the engineering operations practice. Tech Stack: Python, REST APIs, OpenAI, Microsoft Copilot Studio, n8n, LLM frameworks, vector databases, retrieval‑augmented generation. Growth Path: Successful interns can transition into full‑time roles within Harman’s Engineering Operations or AI & Automation teams, with opportunities to lead projects, mentor junior teammates, and influence product strategy. Why Join? Harman offers a vibrant, inclusive environment where innovation is rewarded, mentorship is abundant, and career growth is accelerated. You’ll work on real‑world AI transformation initiatives, gain exposure to enterprise‑grade tools, and have the chance to shape the future of intelligent automation.

Harman 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 🎯
Harman Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Harman 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, LLMs, Agentic AI, Prompt Engineering, REST APIs, OpenAI, Microsoft Copilot Studio, n8n, automation, analytical thinking, communication) & 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
Harman 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 Harman as a Interns, Engineering Operations – AI & Agentic Automation?
Preparation Tip: Highlight Harman'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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