We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. At HARMAN Automotive, we give you the keys to fast-track your career.
Engineer audio systems and integrated technology platforms that augment the driving experience
Combine ingenuity, in-depth research, and a spirit of collaboration with design and engineering excellence
Advance in-vehicle infotainment, safety, efficiency, and enjoyment
About the Role
We are seeking a highly enthusiastic Agentic AI Engineer with up to 1 year of experience, eager to work on next‑generation AI systems driven by autonomous agents and Large Language Models (LLMs). This role is ideal for fresh graduates or early‑career professionals passionate about AI, web technologies, and cloud‑native development, who want to build intelligent, scalable, and automated solutions.
What You Will Do
Design and develop Agentic AI workflows using LLMs, tools, planners, and memory components.
Build and integrate LLM‑powered applications using frameworks such as LangChain and LlamaIndex.
Develop RESTful APIs and backend services using Django, Flask, FastAPI, Robyn Framework, or Vert.x.
Implement Retrieval Augmented Generation (RAG) pipelines using 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 (OAuth, JWT).
Use Celery tasks for asynchronous processing and background AI workloads.
Work with databases and search systems such as MySQL, Redis, ElasticSearch, and ScyllaDB.
Containerize applications using Docker and support deployments on Kubernetes.
Assist in model training, CI/CD pipelines, and cloud deployments on AWS.
Collaborate in an agile team across the Software Development Life Cycle (SDLC).
What You Need to Be Successful
0 to 1 year of experience (or strong academic/project exposure) in AI, ML, or Software Development.
Programming knowledge in Python (mandatory); exposure to GoLang, Java, SQL, JavaScript is a plus.
Understanding of HTML, CSS, and modern web application architecture.
Familiarity with Machine Learning fundamentals and common ML algorithms.
Hands-on exposure to ML libraries: TensorFlow, PyTorch, Scikit‑learn, Pandas, NumPy.
Basic understanding of NLP, Transformers, and Large Language Models (OpenAI, LLaMA).
Knowledge of RESTful APIs, JSON, and SQLAlchemy.
Experience (academic or project-based) with Git, GitHub or Bitbucket.
Awareness of CI/CD pipelines, build processes, and software deployment concepts.
Strong analytical thinking and problem‑solving mindset.
Bonus Points If You Have
Practical experience with Agentic AI concepts (tools, reasoning, planning, memory).
Hands-on projects using Hugging Face, LangChain, or LlamaIndex.
Exposure to RAG architectures and vector databases.
Experience with Docker, Kubernetes, Jenkins, Kibana.
Familiarity with AWS services for application or ML deployment.
Internship or academic project experience in AI/ML or Full‑Stack Development.
Open‑source contributions or personal GitHub projects.
What Makes You Eligible
Bachelor’s degree (or final‑year student) in Computer Science, AI/ML, Data Science, or a related field.
Strong foundation in programming, data structures, and software engineering basics.
Passion for AI, autonomous systems, and emerging technologies.
Ability to learn quickly and work effectively in a fast‑paced, collaborative environment.
What We Offer
- Competitive salary and benefits package
- Opportunities for professional growth and development
- Collaborative and dynamic work environment
- Access to cutting-edge technologies and tools
- Recognition and rewards for outstanding performance through BeBrilliant
- Chance to work with a renowned German OEM
- You are expected to work all 5 days in a week in office