Job Description :
- Design develop and deploy AI agents capable of performing autonomous tasks.
- Build and fine-tune solutions using LLMs (e.g. OpenAI Gemini Claude Mistral LLaMA).
- Proficient in Retrieval-Augmented Generation (RAG) systems and experienced with vector databases leveraging these technologies to enhance AI model performance and scalability
- Implement communication between agents using agent orchestration frameworks.
- Automate workflows for sales project management accounting and localization.
- Collaborate with backend and frontend teams to integrate AI services.
- Conduct prompt engineering and evaluation of model outputs.
- Ensure the scalability and performance of AI systems in production environments.
Job Requirement :
- 1 years of experience in AI/ML engineering or applied NLP.
- Strong experience with LLMs and frameworks like LangChain AutoGen or CrewAI.
- Solid Python skills; familiarity with FastAPI or Flask is a plus.
- Experience with vector databases (e.g. Pinecone Weaviate ChromaDB).
- Experience deploying models using Docker or cloud environments.
- Understanding of multi-agent systems and conversational workflows.
- Familiarity with version control (Git) and CI/CD practices.
Job Description : - Design develop and deploy AI agents capable of performing autonomous tasks. - Build and fine-tune solutions using LLMs (e.g. OpenAI Gemini Claude Mistral LLaMA). - Proficient in Retrieval-Augmented Generation (RAG) systems and experienced with vector databases leveraging these te...
Job Description :
- Design develop and deploy AI agents capable of performing autonomous tasks.
- Build and fine-tune solutions using LLMs (e.g. OpenAI Gemini Claude Mistral LLaMA).
- Proficient in Retrieval-Augmented Generation (RAG) systems and experienced with vector databases leveraging these technologies to enhance AI model performance and scalability
- Implement communication between agents using agent orchestration frameworks.
- Automate workflows for sales project management accounting and localization.
- Collaborate with backend and frontend teams to integrate AI services.
- Conduct prompt engineering and evaluation of model outputs.
- Ensure the scalability and performance of AI systems in production environments.
Job Requirement :
- 1 years of experience in AI/ML engineering or applied NLP.
- Strong experience with LLMs and frameworks like LangChain AutoGen or CrewAI.
- Solid Python skills; familiarity with FastAPI or Flask is a plus.
- Experience with vector databases (e.g. Pinecone Weaviate ChromaDB).
- Experience deploying models using Docker or cloud environments.
- Understanding of multi-agent systems and conversational workflows.
- Familiarity with version control (Git) and CI/CD practices.
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