Associate Engineer - AI/ML with Python

HARMAN Automotive typically conducts four rounds: an initial aptitude test, a technical interview focusing on Python, AI/ML concepts and system design, an online coding challenge to assess algorithmic skills, and a final HR interview to evaluate cultural fit and communication. The difficulty is moderate to high, with emphasis on practical project experience and problem‑solving ability. Candidates should practice coding on platforms, review LLM fundamentals, and be ready to discuss past projects in detail.

HARMAN Automotive fosters an inclusive, innovation‑driven culture where employees are encouraged to experiment and share ideas. The company offers a balanced work‑life environment with flexible timings, mentorship programs, and clear growth pathways.

Bachelor's degree (or final‑year student) in Computer Science, AI/ML, Data Science, or a related engineering discipline. Minimum 60% aggregate (or CGPA equivalent). No active backlogs at the time of joining. Up to 1 year of relevant academic or project experience in AI/ML, Python development, or full‑stack engineering. Strong fundamentals in data structures, algorithms, and software engineering principles.

Round 1: Aptitude & Logical Reasoning → Round 2: Technical Interview (core Python, AI/ML concepts, system design) → Round 3: Coding Challenge (online platform) → Round 4: HR Interview

HARMAN Automotive is a global leader in connected car technology, audio solutions, and digital transformation. With a heritage that dates back to the 1920s, the company has evolved from a pioneer in sound engineering to a multi‑disciplinary technology powerhouse that serves automotive OEMs, lifestyle brands, and enterprise customers worldwide. Operating across more than 30 countries, HARMAN combines deep domain expertise with cutting‑edge research to deliver in‑vehicle infotainment, advanced driver‑assistance, and immersive audio experiences. The organization’s culture emphasizes innovation, collaboration, and continuous learning, offering employees access to state‑of‑the‑art labs, cloud platforms, and a portfolio of iconic brands such as JBL, Mark Levinson, and Revel. The role of Associate Engineer – AI/ML with Python is designed for fresh graduates or early‑career professionals who are passionate about building intelligent, agentic AI systems. You will work within a fast‑moving agile team to design, develop, and deploy AI‑driven workflows that leverage Large Language Models (LLMs), Retrieval‑Augmented Generation (RAG), and autonomous planning components. Your day‑to‑day responsibilities will include creating end‑to‑end pipelines using LangChain or LlamaIndex, building RESTful services with Django, Flask, or FastAPI, and integrating vector databases such as Pinecone or Milvus for semantic search. You will also containerize applications with Docker, orchestrate deployments on Kubernetes, and assist in CI/CD automation on AWS. Collaboration with product managers, data scientists, and hardware engineers will be essential to translate business requirements into scalable micro‑services. Key responsibilities: 1. Design and implement Agentic AI workflows using LLMs, tools, planners, and memory modules. 2. Build LLM‑powered applications with LangChain, LlamaIndex, or similar frameworks. 3. Develop robust REST APIs and backend services using Django, Flask, FastAPI, or Vert.x. 4. Create Retrieval‑Augmented Generation pipelines with vector stores 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. Use Celery for asynchronous task processing and background AI jobs. 8. Manage databases and search engines 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, LLMs (OpenAI, LLaMA), LangChain, LlamaIndex, Django, Flask, FastAPI, Vert.x, MySQL, Redis, ElasticSearch, ScyllaDB, Docker, Kubernetes, AWS, Git, CI/CD tools. Growth path: HARMAN offers a clear career ladder from Associate Engineer to Senior Engineer, Lead Engineer, and Principal Architect, with regular performance reviews, mentorship programs, and opportunities to work on flagship automotive projects. The company invests heavily in employee upskilling through internal training, certifications, and exposure to emerging technologies. Why join HARMAN: You will be part of a world‑renowned brand that shapes the future of mobility and audio experiences. The role provides hands‑on experience with cutting‑edge AI and cloud‑native technologies, a collaborative environment that values ideas, and a supportive culture that rewards innovation and excellence.