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Design, develop, and deploy AI agents to automate complex workflows and business processes.
Build agentic AI applications using LLMs and Generative AI technologies.
Develop multi-agent systems that collaborate to solve complex problems.
Integrate AI agents with external APIs, databases, and enterprise applications.
Implement tool calling, function calling, memory management, and task planning.
Develop Retrieval-Augmented Generation (RAG) pipelines for knowledge-based applications.
Work with frameworks such as LangChain, LangGraph, CrewAI, or AutoGen.
Design prompt engineering strategies to improve agent performance and response quality.
Implement guardrails, validation, monitoring, and error-handling mechanisms.
Evaluate AI agent accuracy, reliability, latency, and cost.
Optimize agent workflows for scalability, efficiency, and security.
Collaborate with cross-functional teams to identify automation opportunities.
Document system architecture, workflows, and technical implementation.
Requirements
Strong programming knowledge of Python.
Understanding of Artificial Intelligence, Machine Learning, and Generative AI.
Knowledge of LLMs, prompt engineering, and transformer-based models.
Familiarity with AI agent frameworks such as LangChain, LangGraph, CrewAI, or AutoGen.
Understanding of tool calling, function calling, and agent orchestration.
Knowledge of RAG, embeddings, vector databases, and semantic search.
Experience with REST APIs, JSON, and database integration.
Familiarity with vector databases such as FAISS, Chroma, Pinecone, or Weaviate.
Understanding of Git, debugging, and software development best practices.
Strong analytical, problem-solving, and communication skills.
Skills Required
- Strong programming knowledge of Python
- Understanding of Artificial Intelligence, Machine Learning, and Generative AI
- Knowledge of LLMs, prompt engineering, and transformer-based models
- Familiarity with AI agent frameworks such as LangChain, LangGraph, CrewAI, or AutoGen
- Understanding of tool calling, function calling, and agent orchestration
- Knowledge of RAG, embeddings, vector databases, and semantic search
- Experience with REST APIs, JSON, and database integration
- Familiarity with vector databases such as FAISS, Chroma, Pinecone, or Weaviate
- Understanding of Git, debugging, and software development best practices
- Strong analytical, problem-solving, and communication skills
What We Do
Training Basket is a global provider of advanced IT Training and Certification Programs for individuals and organizations. Our primary objective is to bridge the gap between corporations seeking skilled professionals and students aspiring to secure satisfying employment. We strive to create a win-win situation for all stakeholders involved. At Training Basket, we understand the evolving needs of the IT industry and the importance of staying updated with the latest technologies and skills. Our comprehensive IT Certification Courses are designed to equip students and professionals with the knowledge and expertise required to excel in today's competitive job market. Remember, success is not a destination; it's a journey and we are here to walk that path with you. Dare to dream and strive for greatness; together, we will create a future that knows no bounds. Welcome to Training Basket – where passion meets excellence!
Why Work With Us
Industry-Vetted Curriculum: The courses are meticulously designed to provide a comprehensive understanding of the subject matter, ensuring students receive a well-rounded education in their chosen field.
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