Description

You will design, develop, and deploy generative AI solutions using large language models and orchestration frameworks.

Responsibilities

• Build and deploy Gen AI solutions using OpenAI API and open-source models like Llama2, Mistral, and Mixtral.
• Develop scalable AI systems leveraging Transformer architectures and Vector or Graph databases.
• Integrate speech-to-text functionality using Whisper or Google TTS for chatbots and IVR systems.
• Implement semantic search experiences using HyDE, MMR, and LLM reranking techniques.
• Collaborate with product, engineering, and design teams to integrate AI solutions into existing workflows.

Required Skills

• 5+ years of experience developing and deploying LLM-based applications.
• Proficiency in Python.
• Hands-on experience with Langchain and Haystack frameworks.
• Experience with Vector and Graph databases including Pinecone, Milvus, and Neo4j.
• Solid understanding of Transformer and Neural Network architectures.
• Practical experience creating embeddings using MPNET and Ada models.
• Experience integrating speech-to-text tools into AI systems.
• Degree in any graduate field.

Preferred Skills

• Familiarity with Java or C++.

Key Skills

Education

Any Graduate