Job
Description
Intellectt Inc. is a forward-thinking technology solutions provider, committed to driving innovation through Artificial Intelligence, Cloud, and Digital Transformation services. As we expand our AI-focused product portfolio, we are looking to onboard AI Product Engineers who are passionate about building impactful, intelligent solutions by combining technical acumen with product thinking. Position Overview We are seeking five AI Product Engineers with 1–2 years of experience who can bridge the gap between product development and advanced AI technologies. This role involves working closely with AI models, APIs, and data pipelines, while also contributing to product design, user experience, and deployment strategies. You will work at the intersection of technology , user experience , and business outcomes . Key Responsibilities Collaborate with product managers and AI teams to design and develop AI-driven products leveraging LLMs (GPT-3.5, GPT-4, Gemini). Translate business requirements into AI product features and work on building functional prototypes. Develop and integrate LangChain-based workflows, including LangSmith and LangGraph , to enable intelligent app interactions. Implement Retrieval-Augmented Generation (RAG) pipelines and integrate vector databases (e.g., ChromaDB) to enhance AI performance. Apply prompt engineering to customize model outputs based on product needs and use cases. Build REST APIs and microservices using Flask or FastAPI to support model integration. Work with SQL , PySpark , and Spark SQL to manage and process structured and unstructured data. Collaborate with UI/UX teams to ensure seamless user interaction with AI components. Support product deployment and monitoring on Azure ML or AWS Bedrock . Required Skills Strong programming skills in Python , SQL , PySpark , Spark SQL Understanding of Generative AI , LLMs , and prompt engineering Experience with LangChain , LangGraph , LangSmith Familiarity with vector databases and embedding techniques Exposure to cloud platforms : Azure ML or AWS Bedrock REST API development using Flask or FastAPI Excellent problem-solving skills and product-oriented mindset Preferred Qualifications Bachelor’s degree in Computer Science, AI/ML, Data Science, or 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 Show more Show less
