Gen AI with Reranking andor Embedding

Job Summary:
We are seeking a highly skilled Gen AI professional with experience in Reranking and/or embedding to join our team in Irving TX. The ideal candidate will have handson experience with Large Language Models (LLMs) and a strong background in product development using LLMs. Experience with Chat IVR and Banking is a plus. The candidate should also have expertise in Vector Database & Graph DB and the ability to create effective embeddings chunking and indexing for RAG.

Key Responsibilities:

1. Utilize Large Language Models (LLMs) in product development projects.
2. Implement Reranking and/or Embedding techniques to enhance search functionality.
3. Collaborate with teams working on Chat IVR and Banking projects to integrate AI solutions.
4. Work with Vector Database & Graph DB (e.g. Pinecone Milvus Neo4j) to create effective embeddings chunking and indexing for RAG.
5. Develop and deploy Transformer/Neural Network models for various applications.
6. Utilize Open AI APIs and Open Source LLMs (e.g. Llama2 Mistral Mixtral) in AI projects.
7. Understand and utilize frameworks like Langchain Haystack for Agentic Workflows.
8. Create embeddings using MPNET Ada models.
9. Apply advanced techniques like HyDE MMR LLM reranking for effective semantic search.

Qualifications:

• Bachelors degree in computer science Engineering or related field.
• Previous experience working with Large Language Models (LLMs) in product development projects.
• Experience with Reranking and/or Embedding techniques.
• Experience in Chat IVR Banking domains is a plus.
• Handson experience with Vector Database & Graph DB (e.g. Pinecone Milvus Neo4j).
• Strong understanding and experience with Transformer/Neural Network models.
• Familiarity with Open AI APIs and Open Source LLMs (e.g. Llama2 Mistral Mixtral).
• Knowledge of frameworks like Langchain Haystack for Agentic Workflows.
• Experience creating embeddings using MPNET Ada models.
• Familiarity with advanced techniques like HyDE MMR LLM reranking for semantic search.

Additional Information:

• This is a fulltime position based in Irving TX.
• Salary is negotiable based on experience.
• Candidates must be authorized to work in the United States without requiring visa sponsorship (USC GC H1B Transfer GCEAD TN).

Join our team and be part of an innovative organization.