AI Engineer
Locationbengaluru, in
Typefull-time
SeniorityMid
Experience4+ yrs
Company size10,000+ people
PostedOct 9, 2026 · 4d ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Develop and implement GenAI solutions tailored to business requirements
Design, train, and fine-tune machine learning models using industry best practices
Conduct data preprocessing, feature engineering, and comprehensive model evaluation
Fine-tune Large Language Models (LLMs) using advanced techniques such as Retrieval-Augmented Generation (RAG)
Build and optimize RAG pipelines using Azure-native tools, implementing semantic search and chunking strategies
Integrate vector storage solutions (Azure AI Search, Pinecone, Milvus) for efficient data retrieval
Orchestrate AI workflows using Prompt Flow and Azure OpenAI Service (GPT-4o and related models) via Python SDKs
Apply prompt engineering techniques to enhance model performance and user experience
Collaborate with software development teams to seamlessly integrate AI models into user-facing applications
Leverage Python and ML libraries (Hugging Face, Scikit-learn, LangChain) to build scalable solutions
B.E
4+ Years
Skills
Python
Hugging Face
Scikit-learn
LangChain
Azure
Prompt Flow
Azure OpenAI Service
GPT-4o
Azure AI Search
Pinecone
Milvus
Company Description
Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world’s leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 27,000+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.
Job Description
**Core Responsibilities:**
•
Develop and implement GenAI solutions tailored to business requirements
•
Design, train, and fine-tune machine learning models using industry best practices
•
Conduct data preprocessing, feature engineering, and comprehensive model evaluation
•
Fine-tune Large Language Models (LLMs) using advanced techniques such as Retrieval-Augmented Generation (RAG)
•
Build and optimize RAG pipelines using Azure-native tools, implementing semantic search and chunking strategies
•
Integrate vector storage solutions (Azure AI Search, Pinecone, Milvus) for efficient data retrieval
•
Orchestrate AI workflows using Prompt Flow and Azure OpenAI Service (GPT-4o and related models) via Python SDKs
•
Apply prompt engineering techniques to enhance model performance and user experience
•
Collaborate with software development teams to seamlessly integrate AI models into user-facing applications
•
Leverage Python and ML libraries (Hugging Face, Scikit-learn, LangChain) to build scalable solutions
Qualifications
B.E
Additional Information
4+ Years