Requirements:
- 7 Years of relevant experience in platform consulting or software development.
- Strong proficiency in Python programming language.
- Experience with prompt engineering and working with large language models.
- Knowledge of RAG basics and their application in AI solutions.
- Hands-on experience with OpenAI API and other LLM APIs.
- Familiarity with the LangChain framework.
- Experience using Hugging Face libraries and models.
- Working knowledge of vector databases such as Pinecone or FAISS.
- Excellent problem-solving and communication skills.
- Ability to work independently and as part of a team.
Responsibilities:
- Develop and implement platform solutions using Python and AI technologies.
- Apply prompt engineering techniques to optimize large language model interactions.
- Utilize RAG (Retrieval-Augmented Generation) basics to enhance data retrieval and generation processes.
- Integrate and work with LLM APIs specifically the OpenAI API to build intelligent applications.
- Employ LangChain framework for building language model applications.
- Leverage Hugging Face tools and models for natural language processing tasks.
- Work with vector databases such as Pinecone or FAISS for efficient similarity search and retrieval.
- Collaborate with clients and internal teams to gather requirements and deliver tailored solutions.
- Provide technical guidance and mentorship to junior team members.
- Stay updated with the latest trends and advancements in AI and platform technologies.
Requirements: 7 Years of relevant experience in platform consulting or software development. Strong proficiency in Python programming language. Experience with prompt engineering and working with large language models. Knowledge of RAG basics and their application in AI solutions. Hands-on experien...
Requirements:
- 7 Years of relevant experience in platform consulting or software development.
- Strong proficiency in Python programming language.
- Experience with prompt engineering and working with large language models.
- Knowledge of RAG basics and their application in AI solutions.
- Hands-on experience with OpenAI API and other LLM APIs.
- Familiarity with the LangChain framework.
- Experience using Hugging Face libraries and models.
- Working knowledge of vector databases such as Pinecone or FAISS.
- Excellent problem-solving and communication skills.
- Ability to work independently and as part of a team.
Responsibilities:
- Develop and implement platform solutions using Python and AI technologies.
- Apply prompt engineering techniques to optimize large language model interactions.
- Utilize RAG (Retrieval-Augmented Generation) basics to enhance data retrieval and generation processes.
- Integrate and work with LLM APIs specifically the OpenAI API to build intelligent applications.
- Employ LangChain framework for building language model applications.
- Leverage Hugging Face tools and models for natural language processing tasks.
- Work with vector databases such as Pinecone or FAISS for efficient similarity search and retrieval.
- Collaborate with clients and internal teams to gather requirements and deliver tailored solutions.
- Provide technical guidance and mentorship to junior team members.
- Stay updated with the latest trends and advancements in AI and platform technologies.
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