Associate Engineer - AI/ML with Python at Harman | Bangalore

Introduction

HARMAN Automotive brings together a global, multi-disciplinary team focused on using technology to shape the future of mobility. The organization develops advanced audio systems and integrated technology platforms that enhance the driving experience. Teams collaborate across research, design, and engineering to advance in-vehicle infotainment, safety, efficiency, and connected experiences.

About the Role

The company is looking for an enthusiastic Agentic AI Engineer with up to 1 year of experience. This position suits fresh graduates or early-career professionals interested in AI systems powered by autonomous agents and Large Language Models (LLMs). The role involves building scalable AI-driven solutions using modern web technologies and cloud-native platforms.

Key Responsibilities

• Design and implement Agentic AI workflows using LLMs, tools, planners, and memory components.
• Develop LLM-based applications using frameworks such as LangChain and LlamaIndex.
• Create RESTful APIs and backend services with Django, Flask, FastAPI, Robyn Framework, or Vert.x.
• Build Retrieval Augmented Generation (RAG) pipelines using embeddings and vector databases.
• Support machine learning model development, including feature engineering and data preprocessing.
• Develop and maintain web applications and microservices with authentication mechanisms like OAuth and JWT.
• Use Celery for asynchronous processing and background AI workloads.
• Work with databases and search technologies including MySQL, Redis, ElasticSearch, and ScyllaDB.
• Containerize applications with Docker and assist deployments on Kubernetes.
• Contribute to model training, CI/CD workflows, and cloud deployments on AWS.
• Collaborate with agile teams throughout the software development life cycle.

Required Skills and Experience

• 0 to 1 year of experience or strong academic or project exposure in AI, machine learning, or software development.
• Proficiency in Python; familiarity with GoLang, Java, SQL, or JavaScript is beneficial.
• Understanding of HTML, CSS, and modern web application architecture.
• Knowledge of machine learning fundamentals and commonly used algorithms.
• Hands-on exposure to ML libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas, and NumPy.
• Basic familiarity with NLP, transformers, and Large Language Models such as OpenAI or LLaMA.
• Understanding of REST APIs, JSON, and ORM tools such as SQLAlchemy.
• Experience with version control tools including Git, GitHub, or Bitbucket.
• Awareness of CI/CD pipelines, build processes, and deployment practices.