AI Product Engineer

As an AI Product Engineer at Intellectt Inc., you will play a crucial role in bridging the gap between product development and advanced AI technologies. You will work closely with AI models, APIs, and data pipelines to design and develop AI-driven products that leverage cutting-edge technologies. Your work will contribute to product design, user experience, and deployment strategies, ultimately impacting business outcomes. **Key Responsibilities:** - Collaborate with product managers and AI teams to design and develop AI-driven products using LLMs such as GPT-3.5, GPT-4, and Gemini. - Translate business requirements into AI product features and build functional prototypes to showcase the capabilities. - Develop and integrate LangChain-based workflows, including LangSmith and LangGraph, to facilitate intelligent app interactions. - Implement Retrieval-Augmented Generation (RAG) pipelines and integrate vector databases like ChromaDB to enhance AI performance. - Apply prompt engineering techniques to customize model outputs based on specific product needs and use cases. - Create REST APIs and microservices utilizing Flask or FastAPI to support seamless model integration. - Utilize SQL, PySpark, and Spark SQL for managing and processing structured and unstructured data effectively. - Collaborate with UI/UX teams to ensure a smooth user interaction with AI components. - Support product deployment and monitoring on cloud platforms such as Azure ML or AWS Bedrock. **Required Skills:** - Strong programming skills in Python, SQL, PySpark, and Spark SQL. - Understanding of Generative AI, LLMs, and prompt engineering. - Experience with LangChain, LangGraph, and LangSmith. - Familiarity with vector databases and embedding techniques. - Exposure to cloud platforms like Azure ML or AWS Bedrock. - Development of REST APIs using Flask or FastAPI. - Excellent problem-solving skills and a product-oriented mindset. **Preferred Qualifications:** - Bachelor's degree in Computer Science, AI/ML, Data Science, or a related field. - Internship or academic experience in AI product development or applied NLP. - Familiarity with MLOps concepts and product lifecycle best practices. - Basic understanding of UI/UX principles and user-centric design. As an AI Product Engineer at Intellectt Inc., you will play a crucial role in bridging the gap between product development and advanced AI technologies. You will work closely with AI models, APIs, and data pipelines to design and develop AI-driven products that leverage cutting-edge technologies. Your work will contribute to product design, user experience, and deployment strategies, ultimately impacting business outcomes. **Key Responsibilities:** - Collaborate with product managers and AI teams to design and develop AI-driven products using LLMs such as GPT-3.5, GPT-4, and Gemini. - Translate business requirements into AI product features and build functional prototypes to showcase the capabilities. - Develop and integrate LangChain-based workflows, including LangSmith and LangGraph, to facilitate intelligent app interactions. - Implement Retrieval-Augmented Generation (RAG) pipelines and integrate vector databases like ChromaDB to enhance AI performance. - Apply prompt engineering techniques to customize model outputs based on specific product needs and use cases. - Create REST APIs and microservices utilizing Flask or FastAPI to support seamless model integration. - Utilize SQL, PySpark, and Spark SQL for managing and processing structured and unstructured data effectively. - Collaborate with UI/UX teams to ensure a smooth user interaction with AI components. - Support product deployment and monitoring on cloud platforms such as Azure ML or AWS Bedrock. **Required Skills:** - Strong programming skills in Python, SQL, PySpark, and Spark SQL. - Understanding of Generative AI, LLMs, and prompt engineering. - Experience with LangChain, LangGraph, and LangSmith. - Familiarity with vector databases and embedding techniques. - Exposure to cloud platforms like Azure ML or AWS Bedrock. - Development of REST APIs using Flask or FastAPI. - Excellent problem-solving skills and a product-oriented mindset. **Preferred Qualifications:** - Bachelor's degree in Computer Science, AI/ML, Data Science, or a related field. - Internship or academic experience in AI product development or applied NLP. - Familiarity with MLOps concepts and product lifecycle best practices. - Basic understanding of UI/UX principles and user-centric design.