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Job Title: AI EngineerLocation: Hyderabad, IndiaWork Mode: Work from OfficeEmployment Type: Full-TimeNumber of Positions: 5Position OverviewWe are hiring AI Engineers with 5 years of experience to join our dynamic team in Hyderabad. The ideal candidates will have a solid foundation in Large Language Models (LLMs), LangChain, and Generative AI (GenAI) frameworks. This is a great opportunity to work on innovative AI solutions, contributing to projects that integrate LLMs, prompt engineering, RAG pipelines, and cloud-based deployments.Key ResponsibilitiesContribute to the design and development of AI-powered applications utilizing LLMs (GPT-3.5, GPT-4, Gemini).Assist in building LangChain-based pipelines and workflows, including LangSmith and LangGraph.Support the implementation of Retrieval-Augmented Generation (RAG) frameworks using vector databases such as ChromaDB.Apply prompt engineering techniques to optimize model responses and improve contextual accuracy.Develop RESTful APIs using Flask or FastAPI to enable model consumption in production environments.Write and manage data workflows using SQL, PySpark, and Spark SQL.Deploy and monitor models on Azure Machine Learning or AWS Bedrock platforms.Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders.Required SkillsProficiency in Python, SQL, PySpark, and Spark SQLHands-on experience with LLMs: GPT-3.5, GPT-4, GeminiKnowledge of LangChain, LangSmith, LangGraphFamiliarity with Vector Databases (e.g., ChromaDB) and embeddingsExperience with prompt engineering and RAG-based architecturesExposure to cloud platforms such as Azure ML or AWS BedrockStrong understanding of REST APIs and version control systems (Git/GitHub)Preferred QualificationsBachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related fieldInternship or academic project experience in NLP, LLMs, or GenAI technologiesFamiliarity with MLOps tools and practices (e.g., CI/CD, Airflow)Strong problem-solving abilities, attention to detail, and a collaborative minds