Generative AI Engineer

AI Engineer / Generative AI Engineer\nLocation: Kochi, Kerala (Onsite)\nJob type: Full-time\n\nJob Summary\nWe are seeking an AI Engineer with 2-4 years of experience in designing, developing, and deploying AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI systems. The ideal candidate should possess strong Python development skills and hands-on experience building intelligent applications that leverage modern AI technologies to solve real-world business problems.\n\nKey Responsibilities\nDesign, develop, and maintain Generative AI applications powered by Large Language Models (LLMs).\nBuild and optimize Retrieval-Augmented Generation (RAG) systems for knowledge retrieval and question-answering use cases.\nDevelop Agentic AI solutions capable of reasoning, planning, tool usage, and workflow automation.\nDesign and implement AI-powered assistants, copilots, and conversational systems.\nIntegrate AI applications with external APIs, databases, and third-party services.\nDevelop scalable backend services and APIs to support AI applications.\nBuild data ingestion, processing, and knowledge management pipelines.\nImplement semantic search and vector search solutions for efficient information retrieval.\nConduct model evaluation, prompt optimization, and performance tuning.\nCollaborate with cross-functional teams to identify and deliver AI-driven business solutions.\nStay up to date with advancements in Generative AI, LLMs, and Agentic AI technologies.\n\nRequired Skills\nProgramming & Development\nPython\nAPI Development (REST APIs)\nBackend Development\nSoftware Design Principles\nGit Version Control\nGenerative AI & LLMs\nLarge Language Models (LLMs)\nPrompt Engineering\nStructured Outputs\nFunction Calling / Tool Calling\nModel Evaluation\nContext Management\nAI Guardrails and Reliability\nAI Architectures\nRetrieval-Augmented Generation (RAG)\nAgentic AI Systems\nMulti-Agent Systems\nAI Workflow Automation\nConversational AI\nKnowledge Retrieval Systems\nSearch & Data Systems\nVector Databases\nEmbeddings\nSemantic Search\nHybrid Search\nData Processing and Transformation\nDatabases\nSQL Databases\nNoSQL Databases\nVector Databases\nGraph Databases\n\nGood to Have\nExperience with cloud platforms such as AWS, Azure, or GCP.\nFamiliarity with managed AI services and model hosting platforms.\nKnowledge of containerization technologies such as Docker.\nExperience integrating AI solutions with enterprise applications and business workflows.\nExposure to document intelligence, information extraction, or automation platforms.\nUnderstanding of scalable system design and distributed architectures.\n\nPreferred Qualifications\nBachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.\nExperience building and deploying AI applications in production environments.\nStrong problem-solving and analytical skills.\nExcellent communication and collaboration abilities.\n\nPriceSenz is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, or disability .