HARMAN Hiring Agentic AI Engineer

HARMAN is hiring for the Agentic AI Engineer role in Bangalore, Karnataka. This is an exciting opportunity for fresh graduates and early-career professionals (0–1 year experience) who want to work at the intersection of Artificial Intelligence, Large Language Models (LLMs), cloud engineering, and autonomous AI systems.

If you are passionate about building AI-powered applications, working with LLMs, RAG pipelines, vector databases, and cloud-native systems, this role offers strong learning and growth potential.

The role is full-time, in-office (5 days/week) and is ideal for candidates looking to enter the fast-growing Generative AI engineering space.

About the Company

HARMAN is a global technology company known for connected products and solutions across:

• Automotive Technology
• Audio Systems
• Smart Devices
• Enterprise Solutions
• Connected Services

HARMAN is widely recognized for premium audio brands such as:

• JBL
• Harman Kardon
• AKG

In automotive, HARMAN builds advanced systems for:

• In-vehicle infotainment
• Smart cockpit systems
• AI-enabled driving experiences
• Connected mobility platforms

The company works with leading automotive manufacturers worldwide and invests heavily in AI-driven automotive software.

Job Overview

Role Overview

This role focuses on building next-generation Agentic AI systems.

Agentic AI refers to AI systems that can:

• Reason
• Plan
• Use tools
• Maintain memory
• Execute multi-step tasks autonomously

Instead of answering a single prompt, these systems can take actions and solve larger workflows.

Examples include AI agents that can:

• Search documents
• Query databases
• Call APIs
• Generate reports
• Automate decisions

This role is highly relevant because Agentic AI is one of the fastest-growing areas in AI engineering.

Key Responsibilities

Agentic AI Workflow Development

You will design AI workflows using:

• LLMs
• Memory systems
• Tool calling
• Reasoning pipelines
• Planning agents

This includes building autonomous AI applications capable of solving complex tasks.

LLM Application Development

You will build applications powered by LLMs using frameworks such as:

• LangChain
• LlamaIndex

These frameworks help build production AI systems.

Examples:

• AI assistants
• Enterprise search
• Document Q&A systems
• Automated copilots

RAG Pipeline Development

A major responsibility is building:

Retrieval Augmented Generation (RAG) systems.

RAG combines:

• Search
• Embeddings
• Vector databases
• LLM reasoning

Benefits:

• More accurate responses
• Better enterprise knowledge retrieval
• Reduced hallucinations

You may work with vector databases for semantic search.

Backend API Development

You will build backend services using Python frameworks such as:

• Django
• Flask
• FastAPI

Responsibilities include:

• REST API development
• Authentication
• Data processing
• Model integration

Machine Learning Engineering

You will assist with:

• Data preprocessing
• Feature engineering
• Model training
• Evaluation
• Deployment

Common ML workflows involve converting raw data into usable model inputs.

Database & Search Systems

You may work with:

• MySQL
• Redis
• Elasticsearch

These tools support:

• Fast retrieval
• Caching
• Search
• AI context storage

Cloud & Deployment

You will deploy AI services using:

• Amazon Web Services
• Docker
• Kubernetes

Responsibilities include:

• Containerization
• Scaling services
• CI/CD support
• Monitoring deployments

• Salesforce Hiring Software Engineer Freshers Eligible

Help a friend land their next role. Share now!

Required Skills

Python (Mandatory)

Python is the primary language for this role.

You should be comfortable with:

• Functions
• OOP
• APIs
• Async programming
• Data processing

Machine Learning Fundamentals

You should understand:

• Supervised learning
• Unsupervised learning
• Training
• Evaluation metrics

Knowledge of ML fundamentals is essential.

ML Libraries

Expected exposure to:

• PyTorch
• TensorFlow
• scikit-learn
• NumPy
• Pandas

Project experience matters more than theoretical knowledge.

LLM Knowledge

You should understand:

• Transformers
• Tokenization
• Embeddings
• Prompt engineering

Familiarity with models like:

• OpenAI GPT models
• LLaMA models

is valuable.

Web Development

Basic knowledge of:

• HTML
• CSS
• JavaScript

is useful for AI product integration.

Bonus Skills

Strong advantage if you know:

• RAG architecture
• Vector DBs
• Hugging Face
• Jenkins
• Kibana
• Kubernetes
• AWS

Open-source AI projects also help significantly.

Eligibility

You can apply if you are:

• Bachelor’s student/final-year student
  OR
• Graduate in:
  • Computer Science
  • AI/ML
  • Data Science
  • Related field

Freshers are eligible.

• Dentsu Hiring Junior AI Developer

Company Rating & Reviews

Overall Rating: ⭐⭐⭐⭐☆ (4.3/5)

What Employees Like

• Strong global brand
• Exposure to cutting-edge automotive technology
• Good engineering culture
• Opportunities in AI, cloud, and embedded systems
• Competitive compensation

Common Challenges

• Some teams have demanding deadlines
• Fast-moving projects may require continuous upskilling
• In-office requirement may not suit everyone

A 4.3/5 rating suggests HARMAN is considered a strong employer for software and AI engineers.

Estimated Salary

HARMAN has not officially disclosed salary for this role.

Based on similar AI/ML fresher roles in Bangalore:

Salary depends on:

• Academic profile
• AI project experience
• LLM/RAG exposure
• Interview performance

Candidates with strong GenAI portfolios may receive better offers.

Follow us on LinkedIn for the latest updates

Follow us on Threads for the latest updates

Subscribe ▶️ YouTube Channel for Latest Updates

Who Should Apply?

This role is perfect for candidates interested in:

• Generative AI
• AI Engineering
• LLMOps
• Machine Learning Engineering
• Full Stack AI Applications

You are a strong fit if you enjoy:

• Building AI products
• Experimenting with models
• Solving difficult engineering problems
• Learning rapidly

• Dentsu Hiring Junior AI Developer

How to Apply

Before applying, make sure your resume highlights:

• AI projects
• LLM experiments
• Python skills
• ML coursework
• GitHub portfolio
• Hackathons / research work

Candidates with practical AI projects will have a major advantage.

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.