AI Engineer- AI Native Engineering

Job Title: AI Engineer- AI Native Engineering Company: Mercedes-Benz Group Job Category: Data Science Roles & Responsibilities: Role Purpose The AI Engineer will design, develop and integrate AI\-enabled capabilities into enterprise and manufacturing applications. The role will focus on Generative AI, intelligent automation, data integration and AI\-assisted software engineering while building strong foundations in production\-grade AI engineering. Key Responsibilities1\. Generative AI \& Agentic Solutions * Develop applications using LLMs and Generative AI. * Build RAG\-based solutions using enterprise documents and structured/unstructured data. * Develop AI agents and tool\-based workflows for engineering and business processes. * Implement prompt engineering, structured outputs and function/tool calling. * Evaluate AI responses for accuracy, relevance and reliability. 2\. AI Application Engineering * Develop APIs and backend services using Python and FastAPI. * Integrate AI capabilities into existing enterprise applications. * Build reusable AI services/components rather than standalone prototypes. * Develop proof\-of\-concepts and mature them toward production solutions. * Write clean, modular and testable code. 3\. Data \& Knowledge Integration * Connect AI solutions with enterprise databases, APIs, documents and engineering systems. * Implement document ingestion, chunking, embedding and retrieval pipelines. * Work with SQL, REST APIs, JSON and structured/unstructured datasets. * Exposure to vector databases/search technologies such as Azure AI Search, PostgreSQL/pgvector or equivalent. 4\. AI\-Native Software Engineering * Use AI coding assistants effectively across development, testing and documentation. * Build automated unit and integration tests. * Participate in code reviews and engineering quality practices. * Work with Git, CI/CD, containers and DevSecOps pipelines. * Contribute to reusable engineering accelerators and automation. 5\. Manufacturing AI Use Cases Work with domain experts to develop solutions such as: Role Purpose The AI Engineer will design, develop and integrate AI\-enabled capabilities into enterprise and manufacturing applications. The role will focus on Generative AI, intelligent automation, data integration and AI\-assisted software engineering while building strong foundations in production\-grade AI engineering. Key Responsibilities1\. Generative AI \& Agentic Solutions * Develop applications using LLMs and Generative AI. * Build RAG\-based solutions using enterprise documents and structured/unstructured data. * Develop AI agents and tool\-based workflows for engineering and business processes. * Implement prompt engineering, structured outputs and function/tool calling. * Evaluate AI responses for accuracy, relevance and reliability. 2\. AI Application Engineering * Develop APIs and backend services using Python and FastAPI. * Integrate AI capabilities into existing enterprise applications. * Build reusable AI services/components rather than standalone prototypes. * Develop proof\-of\-concepts and mature them toward production solutions. * Write clean, modular and testable code. 3\. Data \& Knowledge Integration * Connect AI solutions with enterprise databases, APIs, documents and engineering systems. * Implement document ingestion, chunking, embedding and retrieval pipelines. * Work with SQL, REST APIs, JSON and structured/unstructured datasets. * Exposure to vector databases/search technologies such as Azure AI Search, PostgreSQL/pgvector or equivalent. 4\. AI\-Native Software Engineering * Use AI coding assistants effectively across development, testing and documentation. * Build automated unit and integration tests. * Participate in code reviews and engineering quality practices. * Work with Git, CI/CD, containers and DevSecOps pipelines. * Contribute to reusable engineering accelerators and automation. 5\. Manufacturing AI Use Cases Work with domain experts to develop solutions such as: Work Location: Karnataka, India Availability: Full time

* Bachelor's/Master's degree in Computer Science, AI, Data Science, Information Technology or related engineering discipline * Strong programming fundamentals in Python * Understanding of REST APIs and backend application development * Fundamentals of Generative AI and LLMs * Understanding of RAG, embeddings and vector search * Working knowledge of SQL and data handling * Git and modern software\-development practices * Strong analytical and problem\-solving skills Qualifikationen Description \- ExternalJob Description: AI Engineer (1\-4 Years Overall Experience) * Bachelor's/Master's degree in Computer Science, AI, Data Science, Information Technology or related engineering discipline * Strong programming fundamentals in Python * Understanding of REST APIs and backend application development * Fundamentals of Generative AI and LLMs * Understanding of RAG, embeddings and vector search * Working knowledge of SQL and data handling * Git and modern software\-development practices * Strong analytical and problem\-solving skills Benefits Mitarbeiterrabatte möglich Gesundheitsmaßnahmen Mitarbeiterhandy möglich Essenszulagen Betriebliche Altersversorgung Hybrides Arbeiten möglich Mobilitätsangebote Mitarbeiter Events Coaching Flexible Arbeitszeit möglich Parkplatz Betriebsarzt Gute Anbindung Barrierefreiheit Kinderbetreuung Kantine, Café Kontakt Mercedes\-Benz Research and Development India Private Limited Brigade Tech Gardens, Katha No. 119560037 BengaluruDetails zum Standort Jacob Cyril E\-Mail: jacob.cyril@mercedes\-benz.com Key Skills: Data Science, Python, SQL Salary: Not disclosed