Associate Engineer - AI/ML with Python

Harman's interview process typically starts with a timed online aptitude and coding test, followed by a technical interview that probes AI/ML fundamentals, Python coding, and system design. The final HR round assesses cultural fit and motivation. Candidates report moderate difficulty, with emphasis on practical project experience and problem‑solving ability. Preparing with LLM basics, REST API development, and mock coding sessions helps greatly.

Harman promotes a collaborative and inclusive work culture where engineers are encouraged to experiment and innovate. Employees benefit from structured learning programs, mentorship, and a balanced work‑life environment, with flexibility for personal growth and community involvement.

Bachelor’s degree (or final‑year student) in Computer Science, Information Technology, Artificial Intelligence, Data Science, or related engineering discipline; minimum 60% aggregate (or CGPA 6.0/10); batch years 2024‑2027 accepted; no active backlogs at the time of joining; strong programming fundamentals and academic projects in AI/ML are preferred.

Round 1: Online assessment (aptitude + coding) → Round 2: Technical interview (AI/ML concepts, Python coding, system design) → Round 3: HR interview (fit, motivations, compensation).

Harman International is a world‑leading provider of premium audio and connected car solutions, with a heritage that dates back to the 1920s. Today, the company operates across automotive, consumer, and enterprise segments, delivering cutting‑edge technologies that power everything from in‑vehicle infotainment systems to smart home speakers. With a portfolio of iconic brands such as JBL, Mark Levinson, and Revel, Harman combines deep engineering expertise with a culture of innovation, serving global OEMs and consumers alike. The firm’s commitment to research, sustainability, and inclusive growth has earned it a reputation as a trusted partner for the automotive and lifestyle industries. The role of Associate Engineer – AI/ML with Python is designed for fresh graduates or early‑career professionals who are passionate about building intelligent, agent‑driven applications. Working within Harman’s Automotive AI team, you will contribute to next‑generation products that leverage Large Language Models (LLMs), Retrieval‑Augmented Generation (RAG), and autonomous agents to enhance driver experience, safety, and vehicle intelligence. You will collaborate with cross‑functional teams, including product managers, data scientists, and cloud engineers, to deliver end‑to‑end AI solutions that are production‑ready and scalable. Key Responsibilities: 1. Design and implement Agentic AI workflows using LLMs, tool‑chains, planners, and memory modules. 2. Build LLM‑powered applications with frameworks such as LangChain and LlamaIndex. 3. Develop RESTful APIs and backend services using Django, Flask, FastAPI, or Vert.x. 4. Create Retrieval‑Augmented Generation pipelines employing vector databases and embeddings. 5. Perform feature engineering, data preprocessing, and model training for machine‑learning tasks. 6. Implement secure authentication mechanisms (OAuth, JWT) for web and micro‑service layers. 7. Write Celery tasks for asynchronous processing of AI workloads. 8. Work with databases and search engines like MySQL, Redis, Elasticsearch, and ScyllaDB. 9. Containerize applications using Docker and support Kubernetes deployments. 10. Participate in CI/CD pipeline setup, cloud deployment on AWS, and agile SDLC activities. 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 Engineer, and eventually AI/ML Architect or Product Manager, with opportunities to lead cross‑functional AI projects and contribute to patents and publications. Why Join Harman? You will work on industry‑defining automotive AI projects, gain exposure to state‑of‑the‑art LLM technologies, and collaborate with a global team that values creativity and continuous learning. Harman offers competitive compensation, a vibrant learning environment, and the chance to shape the future of connected mobility.