AI Engineer

Responsible for Agentic Development using Python LibrariesKey ResponsibilitiesDesign, develop, and deploy AI agents using Python libraries and frameworks.Build agentic AI workflows for autonomous task execution, reasoning, and decision-making.Integrate Large Language Models (LLMs), APIs, and external tools into AI-powered applications.Develop multi-agent systems for collaboration and complex problem-solving.Work with Python libraries and frameworks such as LangChain, LangGraph, CrewAI, and AutoGen.Implement Retrieval-Augmented Generation (RAG), vector databases, and semantic search.Develop AI agents for workflow automation, data processing, and business process optimization.Integrate AI models with databases, REST APIs, and third-party services.Implement prompt engineering, context management, memory, and tool-calling capabilities.Test, debug, optimize, and monitor AI agent performance, accuracy, and reliability.Follow best practices for AI security, data privacy, scalability, and deployment.Collaborate with development teams to build and maintain production-ready AI solutions.Required SkillsStrong proficiency in Python programming.Knowledge of AI, Machine Learning, Natural Language Processing (NLP), and Generative AI.Hands-on experience with agentic AI frameworks and orchestration tools.Understanding of REST APIs, JSON, databases, and asynchronous programming.Familiarity with LLM providers such as OpenAI, Anthropic, or Google Gemini.Experience with vector databases such as FAISS, ChromaDB, or Pinecone.Knowledge of Git, Docker, cloud platforms, and application deployment.Strong analytical, problem-solving, and communication skills.Education & QualificationsB.Tech – Computer Science, Information Technology, Artificial Intelligence, or a related field.BCA – Bachelor of Computer Applications.M.Tech – Computer Science, Artificial Intelligence, Data Science, or a related field.MCA – Master of Computer Applications.Ph.D. – Computer Science, Artificial Intelligence, Machine Learning, or a related research field.Preferred Experience: Practical experience in Python development, Generative AI, LLM integration, and building autonomous AI agents or agentic workflows. Relevant projects and hands-on expertise may be considered alongside formal qualifications.Education & QualificationsB.TechBCAPh.DM.TechMCA