HARMAN has announced openings for the position of Associate Engineer (Agentic AI Engineer) at its Bangalore office. This opportunity is ideal for fresh graduates, final-year students, and early-career professionals interested in Artificial Intelligence, Machine Learning, Large Language Models (LLMs), Agentic AI, and Full-Stack Development.
Candidates will get the opportunity to work on next-generation AI systems, Retrieval-Augmented Generation (RAG) architectures, cloud-native applications, and intelligent automation solutions while collaborating with global engineering teams.

About HARMAN
HARMAN is a global technology company known for developing connected technologies for automotive, consumer, and enterprise markets. The company specializes in automotive infotainment systems, audio technologies, connected vehicle solutions, and emerging AI-powered innovations.
HARMAN offers employees access to cutting-edge technologies, global collaboration opportunities, and professional development programs designed to accelerate career growth.
Job Overview
| Particulars | Details |
|---|---|
| Company | HARMAN |
| Role | Associate Engineer (Agentic AI Engineer) |
| Job Type | Full-Time |
| Experience | 0–1 Year |
| Location | Bangalore, Karnataka |
| Work Mode | Work From Office |
| Eligible Candidates | Fresh Graduates & Final-Year Students |
| Department | AI/ML & Software Engineering |
Salary Estimate
HARMAN has not officially disclosed the compensation for this position.
Estimated Salary: ₹6 LPA – ₹12 LPA
The estimate is based on comparable entry-level AI/ML, Software Engineering, and Associate Engineer roles offered by multinational technology companies in India. Actual compensation may vary depending on qualifications, skills, interview performance, and company policies.
Key Responsibilities
As an Associate Engineer, you may work on:
- Designing Agentic AI workflows using LLMs, tools, planners, and memory systems
- Developing AI-powered applications using LangChain and LlamaIndex
- Building REST APIs and backend services
- Implementing Retrieval-Augmented Generation (RAG) pipelines
- Developing Machine Learning models and performing feature engineering
- Creating scalable microservices and cloud-native applications
- Managing asynchronous AI workloads using Celery
- Working with databases such as MySQL, Redis, ElasticSearch, and ScyllaDB
- Containerizing applications using Docker and Kubernetes
- Supporting cloud deployments on AWS
- Participating in Agile software development processes
- Contributing throughout the Software Development Life Cycle (SDLC)
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Who Can Apply
Candidates meeting the following criteria can apply:
| Requirement | Details |
|---|---|
| Education | Bachelor’s Degree or Final-Year Student |
| Preferred Streams | Computer Science, AI/ML, Data Science, Information Technology, Related Fields |
| Experience | 0–1 Year |
| Programming Language | Python (Mandatory) |
| Location | Must be willing to work from Bangalore |
Required Skills
Applicants should have knowledge of:
- Python Programming
- Data Structures and Algorithms
- Machine Learning Fundamentals
- REST APIs
- HTML and CSS
- JSON
- Git and GitHub
- Software Engineering Concepts
- SQL and Database Fundamentals
- NLP and Transformer Models
- Large Language Models (LLMs)
ML & AI Libraries
Knowledge of the following tools is beneficial:
- TensorFlow
- PyTorch
- Scikit-learn
- Pandas
- NumPy
AI Technologies
- OpenAI Models
- LLaMA Models
- LangChain
- LlamaIndex
- Agentic AI Concepts
- RAG Architectures
- Vector Databases
Preferred Skills
Having exposure to the following can strengthen your application:
- Docker
- Kubernetes
- Jenkins
- Kibana
- AWS Cloud Services
- Hugging Face Ecosystem
- CI/CD Pipelines
- Full-Stack Development
- Open-Source Contributions
- Personal AI/ML Projects
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Benefits
Selected candidates may receive:
- Competitive compensation package
- Professional growth opportunities
- Exposure to advanced AI technologies
- Collaborative work environment
- Performance recognition programs
- Opportunity to work with global automotive technology projects
- Access to modern development tools and frameworks
Selection Process
The exact hiring process may vary, but candidates can generally expect:
- Application Screening
- Online Assessment (if applicable)
- Technical Interview
- AI/ML or Coding Discussion
- HR Interview
- Final Offer
How to Apply
If you have a strong interest in Artificial Intelligence, Machine Learning, Agentic AI, and modern software development, this opportunity can be an excellent starting point for your career.
Before applying:
- Strengthen your Python programming skills.
- Build AI/ML projects showcasing practical implementation.
- Learn LLM fundamentals, RAG systems, and prompt engineering.
- Practice data structures and algorithms.
- Prepare examples of academic, internship, or personal projects involving AI, cloud computing, or software development.
Apply by clicking the application button available below and complete all required details accurately.
Disclaimer:
This information is collected from official/public sources for informational purposes only. Salary estimates are based on market research and may vary. We do not charge any fee for job updates and do not guarantee selection or recruitment. Candidates should verify details from the official source before applying.
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