Associate Engineer - AI/ML with Python

HARMAN’s interview process typically starts with an online aptitude test followed by a technical interview focusing on AI/ML fundamentals, Python coding, and system design. The final HR round assesses cultural fit and communication skills. Candidates should be ready for problem‑solving questions, LLM concepts, and scenario‑based design discussions.

HARMAN promotes a collaborative, innovation‑driven culture where engineers are encouraged to experiment and share ideas. Employees enjoy a balanced work‑life environment, clear growth paths, and access to global mentorship programs.

Bachelor’s degree in Computer Science, Engineering, AI/ML, Data Science or related field; final‑year students eligible. Minimum 60% aggregate (or CGPA 6.5/10). No active backlogs at the time of joining. Fresh graduates (0‑1 year experience) or strong project exposure in AI/ML are preferred.

Round 1: Online aptitude and coding test → Round 2: Technical interview (AI/ML concepts, coding, system design) → Round 3: HR interview (fitment, culture, compensation)

HARMAN, a global leader in automotive, lifestyle and digital transformation solutions, has been shaping sound and connectivity since the 1920s. With iconic brands such as JBL, Mark Levinson, and Revel, the company blends cutting‑edge hardware with software intelligence to create experiences that are safe, enjoyable, and immersive. Operating across more than 100 countries, HARMAN leverages its deep engineering heritage to drive innovation in connected cars, smart homes, and immersive audio, making it an attractive destination for technology enthusiasts. The role of Associate Engineer – AI/ML with Python is designed for fresh graduates or early‑career professionals who are passionate about building next‑generation intelligent systems. As an Agentic AI Engineer, you will work on autonomous‑agent driven workflows, large language models, and Retrieval‑Augmented Generation pipelines that power in‑vehicle infotainment, safety, and driver‑assist features. The position offers exposure to end‑to‑end product development, from research and prototyping to cloud‑native deployment on AWS. Key Responsibilities: 1. Design and implement Agentic AI workflows using LLMs, planners, and memory modules. 2. Build LLM‑powered applications with LangChain, LlamaIndex, or similar frameworks. 3. Develop RESTful APIs and backend services using Django, Flask, FastAPI, or Vert.x. 4. Create Retrieval‑Augmented Generation pipelines leveraging vector databases and embeddings. 5. Perform feature engineering, data preprocessing, and model training for ML tasks. 6. Implement secure authentication mechanisms (OAuth, JWT) for web services. 7. Write Celery tasks for asynchronous AI workloads and background processing. 8. Work with databases such as MySQL, Redis, Elasticsearch, and ScyllaDB. 9. Containerize applications with Docker and support Kubernetes deployments. 10. Contribute to CI/CD pipelines, automated testing, and cloud deployment on AWS. Tech Stack: Python, Django/Flask/FastAPI, LangChain, LlamaIndex, TensorFlow, PyTorch, Scikit‑learn, Pandas, NumPy, MySQL, Redis, Elasticsearch, ScyllaDB, Docker, Kubernetes, AWS, Git, CI/CD tools. Growth Path: Starting as an Associate Engineer, you can progress to Senior Engineer, Lead AI Engineer, and eventually AI/ML Architect or Product Manager, with opportunities to lead cross‑functional teams and influence product strategy. Why Join HARMAN? You will work alongside world‑class engineers on high‑impact automotive projects, gain hands‑on experience with LLMs and cloud‑native AI, and benefit from a culture that values continuous learning, diversity, and innovation. The company’s strong brand, global footprint, and commitment to employee development make it an ideal launchpad for a thriving AI career.