Agentic AI Engineer

About CoffeeBeans ConsultingCoffeeBeans is a fast-growing software consulting firm known for solving complex business problems using cutting-edge engineering, AI, and data science. Our teams deliver end-to-end solutions across ML and GenAI, with a strong focus on building production-grade systems that drive measurable value for clients in fintech, retail, healthcare, logistics, and beyond.Experience: 3–6 YearLocation: Bangalore (Should be willing to travel to Indonesia, 6 months-1 year) or HyderabadJobRole OverviewWe are looking for a skilled Agentic Engineer / Data Scientist with hands-on experience in designing, architecting, and developing advanced agentic systems and intelligent solutions. The ideal candidate will have a strong foundation in modern AI frameworks and experience building scalable, production-grade AI systemsKey Responsibilities. Write Prompt optimization. Write evals. Custom guardrails for domain context that are non-trivial. Used mlflow/langsmith or similar tools for debuggingDesign and develop agentic systems and AI-driven solutionArchitect scalable workflows for multi-agent systemImplement and optimize RAG (Retrieval-Augmented Generation) pipelineWork with vector embeddings and vector databaseBuild and manage agent orchestration frameworkDevelop end-to-end AI workflows, including data ingestion, processing, and inferencCollaborate with cross-functional teams to deliver AI-powered solutionContinuously evaluate and integrate emerging AI tools and frameworkRequired Skills & Qualification3–6 years of experience in Data Science, Machine Learning, or AI EngineerinStrong experience in agent engineering and agent-based architectureHands-on experience withRAG pipelineVector embeddings and semantic searcMulti-agent orchestration and workflow desigProficiency in Python and relevant ML/AI librarieExperience withLangChain (mandatoryLangGraph (mandatorySolid understanding of LLMs and prompt engineerinStrong problem-solving and system design skills