Harman Hiring Associate Engineer AI/ML Python - Bangalore

Introduction: A Career at HARMAN Automotive

HARMAN Automotive brings together a global, multidisciplinary team that uses innovative technology to shape the future of mobility. The company develops advanced audio systems and integrated technology platforms that enhance the driving experience. Through research, collaboration, and engineering excellence, HARMAN continues to advance in‑vehicle infotainment, safety, efficiency, and user enjoyment.

About the Role

The company is looking for a motivated Agentic AI Engineer with up to one year of experience who is interested in building next‑generation AI systems powered by autonomous agents and Large Language Models. The role suits recent graduates or early‑career professionals who are passionate about AI, web technologies, and cloud‑native development while creating scalable and intelligent solutions.

What You Will Do

• Design and build Agentic AI workflows using LLMs, planners, tools, and memory components.
• Create and integrate LLM‑powered applications using frameworks such as LangChain and LlamaIndex.
• Develop RESTful APIs and backend services using frameworks like Django, Flask, FastAPI, Robyn Framework, or Vert.x.
• Implement Retrieval Augmented Generation (RAG) pipelines with vector databases and embeddings.
• Work on machine learning model development including feature engineering and data preprocessing.
• Develop and maintain web applications and microservices with secure authentication methods such as OAuth and JWT.
• Use Celery tasks for asynchronous processing and AI background workloads.
• Work with databases and search technologies including MySQL, Redis, ElasticSearch, and ScyllaDB.
• Containerize applications using Docker and support deployments on Kubernetes.
• Assist with model training, CI/CD pipelines, and deployments on AWS.
• Collaborate with team members in an agile environment across the full software development life cycle.

What You Need to Be Successful

• 0 to 1 year of experience or strong academic or project exposure in AI, ML, or software development.
• Programming proficiency in Python. Exposure to GoLang, Java, SQL, or JavaScript is beneficial.
• Understanding of HTML, CSS, and modern web application architecture.
• Knowledge of machine learning fundamentals and common ML algorithms.
• Hands‑on experience with 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 SQLAlchemy.
• Experience using Git repositories such as GitHub or Bitbucket.
• Awareness of CI/CD pipelines, build processes, and software deployment practices.

Bonus Points