Develop and maintain scalable full-stack applications, optimize backend services with Python, design modern frontend interfaces, and manage cloud infrastructure to deliver robust AI-driven solutions for clients.

• Collaborate with cross-functional teams to design scalable AI architectures • Contribute to innovative projects that leverage generative AI and large language models • Develop and deploy cutting-edge AI solutions • Work with advanced machine learning models and frameworks, focusing on cloud technologies and intelligent AI applications

Role Description HARMAN’s engineers and designers are creative, purposeful and agile. As part of this team, you’ll combine your technical expertise with innovative ideas to help drive cutting-edge solutions in the car, enterprise and connected ecosystem. Every day, you will push the boundaries of creative design, and HARMAN is committed to providing you with the opportunities, innovative technologies and resources to build a successful career. 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. What You Will Do - AI Agent Development - Build agentic AI systems using frameworks such as LangChain, AutoGen, Semantic Kernel, Haystack, or LlamaIndex. - Develop multi-agent architectures for planning, reasoning, tool use, memory, and feedback loops. - Implement autonomous workflows for analytics, operations, customer support, and productivity automation. - Generative AI Solutions - Develop LLM-powered features such as: - Naturallanguage querying - Summarization & explanation engines - Scenario simulation & calculators - Insight generation and anomaly detection - Conversational interfaces - Fine-tune, supervise, or optimize models for domain-specific tasks. - Retrieval-Augmented Generation (RAG) - Build enterprise-grade RAG pipelines for scalable document, metric, and knowledge retrieval. - Implement embeddings, vector databases, chunking, prompt templating, and ranking strategies. - AI Tool Integration - Enable agents to interact with: - Databases - Power BI / Anaplan / ERP / CRM - REST APIs - Python tools & calculators - Business workflows - Build “function calling” capabilities for real-time actions. - MLOps & AIOps - Deploy AI systems using Azure ML, AWS Sagemaker, Vertex AI, or on-prem platforms. - Implement monitoring, guardrails, safety layers, and model evaluation pipelines. - Set up CI/CD for AI workflows. - Collaboration & Solution Design - Work with product, analytics, and engineering teams to design AI use cases. - Create high-level and low-level architecture diagrams. - Ensure scalability, robustness, security, and governance. Qualifications - Experience: 4-6 Years - Technical Skills - Generative AI & LLMs - Strong understanding of GPT, Llama, Mistral, Claude, Gemini - Prompt engineering, prompt chaining, instruction tuning - Experience with open-source and proprietary LLMs - Knowledge of transformers, attention mechanisms, and embeddings - Agentic AI - Hands-on experience with: - LangChain Agents - AutoGen / Autogen Studio - Semantic Kernel Functions & Planners - Multi-Agent Orchestration - Tool-use, planning, reflection, memory systems - RAG Engineering - Vector databases (FAISS, Pinecone, Milvus, Azure AI Search) - Chunking strategies, hybrid search, rerankers - Advanced prompt routing & retrieval chains - Programming - Python (must have) - Knowledge of TypeScript/JavaScript is a plus - Familiarity with API development (FastAPI, Flask) - Cloud & Deployment - Azure AI Studio / AWS Bedrock / GCP Vertex AI - Docker, Kubernetes - DevOps & MLOps practices - Model deployment pipelines - Data & Analytics - SQL, data modeling - Working knowledge of APIs from systems like Power BI, Dataverse, Anaplan, SAP - Basic ML knowledge (supervised, unsupervised, deep learning basics) Benefits - Flexible work environment, allowing for full-time remote work globally for positions that can be performed outside a HARMAN or customer location - Access to employee discounts on world-class Harman and Samsung products (JBL, HARMAN Kardon, AKG, etc.) - Extensive training opportunities through our own HARMAN University - Competitive wellness benefits - Tuition reimbursement - “Be Brilliant” employee recognition and rewards program - An inclusive and diverse work environment that fosters and encourages professional and personal development

Role Description HARMAN’s engineers and designers are creative, purposeful and agile. As part of this team, you’ll combine your technical expertise with innovative ideas to help drive cutting-edge solutions in the car, enterprise and connected ecosystem. Every day, you will push the boundaries of creative design, and HARMAN is committed to providing you with the opportunities, innovative technologies and resources to build a successful career. 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. What You Will Do: - Design, develop, and deploy machine learning and AI solutions to solve business problems - Build and optimize models across areas such as Computer Vision, NLP, and Recommendation Systems - Implement data pipelines and scalable ML workflows using modern frameworks and cloud platforms - Collaborate with cross-functional and distributed teams to gather requirements and deliver solutions - Translate business requirements into technical models and algorithms - Ensure code is secure, scalable, and performance-optimized - Document solutions and communicate technical concepts to non-technical stakeholders Qualifications - Experience: 4-7 Years - Strong experience in Machine Learning, Deep Learning (CNN, RNN) - Reinforcement Learning & Optimization Techniques - Hands-on expertise in TensorFlow, Scikit-learn, Keras, Spark ML - Advanced programming skills in Python (mandatory), along with R / PySpark / Scala - Strong understanding of Linux-based environments - Data structures, algorithms, and model optimization - Experience working with Databricks and large-scale data processing - Hands-on experience with at least one cloud platform: AWS / Azure / Google Cloud - Experience in big data frameworks and distributed computing Benefits - Flexible work environment, allowing for full-time remote work globally for positions that can be performed outside a HARMAN or customer location - Access to employee discounts on world-class Harman and Samsung products (JBL, HARMAN Kardon, AKG, etc.) - Extensive training opportunities through our own HARMAN University - Competitive wellness benefits - Tuition reimbursement - “Be Brilliant” employee recognition and rewards program - An inclusive and diverse work environment that fosters and encourages professional and personal development