Associate Engineer – AI/ML with Python at HARMAN Automotive | Entry-Level AI, Machine Learning & Python Jobs
Introduction
HARMAN Automotive is hiring Associate Engineers – AI/ML with Python for its Bangalore, Karnataka office. This is an excellent opportunity for fresh graduates and professionals with up to one year of experience who are passionate about Artificial Intelligence (AI), Machine Learning (ML), Large Language Models (LLMs), Agentic AI, Python development, cloud technologies, and modern software engineering.
The role focuses on building next-generation AI applications powered by autonomous agents, Retrieval-Augmented Generation (RAG), and Large Language Models. Candidates will work on intelligent systems, backend development, cloud-native applications, and AI-powered software solutions while collaborating with experienced engineering teams.
If you are eager to work with technologies such as Python, LangChain, LlamaIndex, FastAPI, Docker, Kubernetes, AWS, TensorFlow, PyTorch, and OpenAI models, this role offers an outstanding opportunity to launch your AI engineering career.
About HARMAN
HARMAN International, a subsidiary of Samsung Electronics, is a global technology company that develops connected products and intelligent solutions for automotive, consumer, and enterprise markets. The company is well known for its premium audio brands, including JBL, Harman Kardon, AKG, Mark Levinson, Infinity, Revel, and Lexicon, while also delivering advanced digital transformation and automotive software solutions.
HARMAN Automotive develops cutting-edge technologies for connected vehicles, in-vehicle infotainment, autonomous driving, digital cockpit platforms, cybersecurity, cloud services, and artificial intelligence. Its innovations power millions of vehicles worldwide, helping create safer, smarter, and more connected driving experiences.
With a strong focus on innovation, research, and engineering excellence, HARMAN provides employees with opportunities to work on emerging technologies that shape the future of mobility and AI.
Job Overview
Job Role: Associate Engineer – AI/ML with Python
Company: HARMAN Automotive
Location: Bangalore, Karnataka, India
Employment Type: Permanent (Full-Time)
Experience Required: 0–1 Year
Career Level: T2
Department: Artificial Intelligence & Machine Learning
Work Mode: Work from Office (5 Days a Week)
Job Summary
As an Associate Engineer – AI/ML with Python, you will develop AI-powered applications using Large Language Models (LLMs), Agentic AI frameworks, and cloud-native technologies. You will design intelligent workflows, develop backend APIs, implement Retrieval-Augmented Generation (RAG) pipelines, build machine learning models, and deploy scalable AI solutions.
This role combines AI engineering, backend development, cloud technologies, and modern software engineering, making it ideal for candidates interested in Generative AI and intelligent automation.
Key Responsibilities
As an Associate Engineer, your responsibilities will include:
- Design and develop Agentic AI workflows using Large Language Models.
- Build AI-powered applications using LangChain and LlamaIndex.
- Develop RESTful APIs using Django, Flask, FastAPI, Robyn Framework, or Vert.x.
- Implement Retrieval-Augmented Generation (RAG) pipelines.
- Develop machine learning models with feature engineering and data preprocessing.
- Build secure backend applications with OAuth and JWT authentication.
- Develop asynchronous background tasks using Celery.
- Work with databases including MySQL, Redis, Elasticsearch, and ScyllaDB.
- Containerize applications using Docker.
- Support Kubernetes deployments.
- Assist with AI model training and evaluation.
- Work with AWS cloud services for deployment.
- Participate in CI/CD implementation and software delivery.
- Collaborate within Agile software development teams throughout the SDLC.
Required Skills and Their Importance
1. Python
Python is the primary programming language for this role.
Why it matters:
- AI development
- Machine learning
- Backend development
- Automation
- Data processing
2. Artificial Intelligence (AI)
Candidates should possess a strong interest in Artificial Intelligence.
Why it matters:
- Intelligent applications
- Automation
- Decision-making systems
- Future-ready technologies
3. Machine Learning (ML)
Machine Learning forms the foundation of intelligent software systems.
Why it matters:
- Predictive analytics
- Classification
- Model development
- Intelligent automation
4. Large Language Models (LLMs)
Understanding LLMs is essential for developing Generative AI applications.
Examples include:
- OpenAI models
- LLaMA
- Transformer-based models
Why it matters:
- AI assistants
- Natural language understanding
- Intelligent automation
- Conversational AI
5. Agentic AI
Agentic AI enables autonomous decision-making systems.
Why it matters:
- Autonomous workflows
- Intelligent planning
- Tool orchestration
- Multi-agent systems
6. LangChain
LangChain simplifies LLM application development.
Why it matters:
- AI workflow orchestration
- Prompt engineering
- Tool integration
- Memory management
7. LlamaIndex
LlamaIndex connects Large Language Models with enterprise data.
Why it matters:
- Data retrieval
- Knowledge-based AI
- Enterprise search
- RAG implementation
8. Retrieval-Augmented Generation (RAG)
RAG improves AI responses using external knowledge sources.
Why it matters:
- Better AI accuracy
- Knowledge retrieval
- Enterprise AI
- Intelligent search
9. Machine Learning Libraries
Knowledge of ML frameworks is highly valuable.
Libraries include:
- TensorFlow
- PyTorch
- Scikit-learn
- Pandas
- NumPy
Why it matters:
- Model development
- Data analysis
- AI experimentation
- Training pipelines
10. Backend Development
Developing APIs and backend services is a major responsibility.
Frameworks include:
- Django
- Flask
- FastAPI
- Robyn
- Vert.x
Why it matters:
- API development
- AI integration
- Scalable services
- Secure applications
11. REST APIs
REST APIs connect AI applications with frontend systems.
Why it matters:
- Application integration
- Service communication
- Backend development
- Cloud applications
12. SQL and Databases
Candidates will work with multiple databases.
Technologies include:
- MySQL
- Redis
- Elasticsearch
- ScyllaDB
- SQLAlchemy
Why it matters:
- Data storage
- AI applications
- Search optimization
- Backend performance
13. Docker
Docker enables application containerization.
Why it matters:
- Deployment consistency
- Scalable applications
- Cloud portability
- DevOps workflows
14. Kubernetes
Kubernetes manages containerized applications.
Why it matters:
- Container orchestration
- High availability
- Scalable deployment
- Cloud-native development
15. AWS Cloud
Cloud deployment knowledge is beneficial.
Why it matters:
- AI deployment
- Infrastructure management
- Scalability
- Cloud applications
16. Git & GitHub
Version control is essential for collaborative software development.
Why it matters:
- Source code management
- Collaboration
- Code reviews
- Continuous development
17. CI/CD
Continuous Integration and Continuous Deployment streamline software delivery.
Why it matters:
- Faster releases
- Automation
- Better software quality
- Efficient deployment
Bonus Skills
Candidates with exposure to the following technologies will have an additional advantage:
- Hugging Face
- OpenAI APIs
- Vector Databases
- Docker
- Kubernetes
- Jenkins
- Kibana
- AWS Services
- AI/ML internships
- Open-source GitHub contributions
- Full-Stack Development projects
Educational Qualification
Candidates should possess or be pursuing:
- Bachelor’s Degree in Computer Science
- Artificial Intelligence
- Machine Learning
- Data Science
- Related Engineering Disciplines
Final-year students are also eligible to apply.
Preferred Candidate Profile
HARMAN is looking for candidates who are:
- Passionate about AI
- Strong Python programmers
- Curious learners
- Analytical thinkers
- Problem solvers
- Team players
- Interested in cloud technologies
- Enthusiastic about emerging AI trends
- Comfortable working in Agile teams
Technologies You’ll Work With
During this role, you may gain hands-on experience with:
- Python
- LangChain
- LlamaIndex
- OpenAI
- LLaMA
- TensorFlow
- PyTorch
- Scikit-learn
- Pandas
- NumPy
- FastAPI
- Flask
- Django
- REST APIs
- MySQL
- Redis
- Elasticsearch
- Docker
- Kubernetes
- AWS
- Git
- GitHub
- CI/CD
- OAuth
- JWT
- Celery
Why Join HARMAN?
Working at HARMAN offers numerous career advantages:
- Competitive salary and benefits
- Exposure to cutting-edge AI technologies
- Work with a renowned German automotive OEM
- Professional learning and development
- Recognition through the BeBrilliant rewards program
- Collaborative engineering culture
- Access to modern AI tools and cloud platforms
- Long-term career growth
- Opportunity to build products used globally
Career Growth Opportunities
Starting as an Associate Engineer – AI/ML with Python can lead to roles such as:
- AI Engineer
- Machine Learning Engineer
- Generative AI Engineer
- LLM Engineer
- Python Developer
- Backend Engineer
- AI Research Engineer
- NLP Engineer
- Cloud AI Engineer
- Senior AI Architect
With experience, professionals can specialize in Agentic AI, MLOps, cloud-native AI, autonomous systems, or AI platform engineering.
Why This Opportunity Stands Out
HARMAN’s AI/ML team is building next-generation intelligent systems that combine Agentic AI, Large Language Models, cloud-native development, and modern software engineering. This role offers fresh graduates the opportunity to work on some of the most in-demand technologies in the AI industry while contributing to innovative automotive and digital solutions.
Final Thoughts
The Associate Engineer – AI/ML with Python position at HARMAN Automotive in Bangalore is an outstanding opportunity for fresh graduates and early-career professionals looking to build expertise in Artificial Intelligence, Machine Learning, Large Language Models, and cloud technologies.
With hands-on exposure to Python, LangChain, LlamaIndex, RAG architectures, Docker, Kubernetes, AWS, and modern AI development frameworks, this role provides an excellent foundation for a successful career in AI engineering and intelligent software development.