Jobs Deatils

Job Description :- 

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 outcomes
Technical 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, Selenium

Key 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 capabilities
Preferred 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