Intelligent Systems Developer

2 weeks ago

thane, India beBeeArtificial Full time

AI EngineerAs an AI engineer, you will play a crucial role in architecting and implementing end-to-end full-stack solutions for Agentic AI applications.The ideal candidate will have a deep understanding of large language models (LLMs), including their architectures, prompt engineering, retrieval-augmented generation (RAG), and semantic search methodologies.Key Responsibilities:Architect and implement scalable, secure, and compliant chatbot interfaces that serve enterprise needs.Design, develop, and deploy intelligent agents using frameworks such as LangChain and LangGraph.Develop and maintain robust data pipelines using Python, Snowflake SQL, and various AWS-native services.Integrate graph databases like Neo4j and vector databases to enable semantic search capabilities and contextual reasoning.Deploy scalable AI services on cloud platforms including AWS (Bedrock, Lambda, ECS), Azure AI, and GCP.Required Skills:Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.5+ years of professional software engineering experience with at least 3 years focused on AI/ML and large language model-based systems.Advanced proficiency in Python programming.Hands-on experience with LangChain, LangGraph, AutoGen, CrewAI, LlamaIndex or similar AI frameworks.Deep understanding of LLM architectures, prompt engineering, retrieval-augmented generation (RAG), and semantic search methodologies.Experience working with embedding-based search systems and graph technologies such as Neo4j and GraphRAG.Benefits:Opportunity to work on cutting-edge AI projects.Collaborative and dynamic work environment.Professional development opportunities.Other Requirements:Strong communication skills.Ability to work independently and collaboratively as part of a team.

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