Agentic Powered Automation

Job Description:Skill: Agentic Powered Automation (APA) Hands-on experience with: - Building and deploying autonomous agents - LangChain framework for developing applications - Retrieval Augmented Generation (RAG) systems - Large Language Models (LLMs) and their APIs- Solid understanding of safety principles and best practices- Resolving Hallucinations in the outcomesTechnical Skills- Advanced Python programming with expertise in async programming and API development- Experience with vector databases and embedding models- Proficiency in implementing RAG pipelines and knowledge retrieval systems- Familiarity with prompt engineering and LLM optimization techniques- Experience with development frameworks and tools- Knowledge of modern software development practices (Git, CI/CD, testing)-RPA, API, Python, SeleniumKey Responsibilities- Design and implement autonomous agents using LangChain / Crew.ai / SK / Autogen and other relevant frameworks- Develop and optimize RAG systems for improved information retrieval and response generation- Create robust evaluation frameworks for testing agent performance and safety- Implement monitoring and logging systems for agent behavior- Develop documentation and best practices for agent development- Contribute to the improvement of agent architecture and capabilitiesPreferred Skills- Experience with: - Multiple LLM providers (OpenAI, Anthropic, etc.) - Tools for agent orchestration and workflow management - Natural Language Processing (NLP) techniques - Container technologies (Docker, Kubernetes)- Understanding of semantic search and information retrieval concepts- Knowledge of agent alignment and safety considerations Job Description:Skill: Agentic Powered Automation (APA) Hands-on experience with: - Building and deploying autonomous agents - LangChain framework for developing applications - Retrieval Augmented Generation (RAG) systems - Large Language Models (LLMs) and their APIs- Solid understanding of safety principles and best practices- Resolving Hallucinations in the outcomesTechnical Skills- Advanced Python programming with expertise in async programming and API development- Experience with vector databases and embedding models- Proficiency in implementing RAG pipelines and knowledge retrieval systems- Familiarity with prompt engineering and LLM optimization techniques- Experience with development frameworks and tools- Knowledge of modern software development practices (Git, CI/CD, testing)-RPA, API, Python, SeleniumKey Responsibilities- Design and implement autonomous agents using LangChain / Crew.ai / SK / Autogen and other relevant frameworks- Develop and optimize RAG systems for improved information retrieval and response generation- Create robust evaluation frameworks for testing agent performance and safety- Implement monitoring and logging systems for agent behavior- Develop documentation and best practices for agent development- Contribute to the improvement of agent architecture and capabilitiesPreferred Skills- Experience with: - Multiple LLM providers (OpenAI, Anthropic, etc.) - Tools for agent orchestration and workflow management - Natural Language Processing (NLP) techniques - Container technologies (Docker, Kubernetes)- Understanding of semantic search and information retrieval concepts- Knowledge of agent alignment and safety considerations