Description

You will design, develop, and deploy generative AI solutions and advanced LLM-based applications for enterprise use.

Responsibilities

• Design and maintain advanced AI models and integrate them into existing workflows.
• Build scalable AI systems using Transformer architectures and vector or graph databases.
• Develop semantic search experiences using techniques like HyDE, MMR, and LLM reranking.
• Collaborate with product, engineering, and design teams to define project goals and use cases.
• Document technical workflows to ensure project continuity and knowledge transfer.

Required Skills

• 5+ years of experience developing and deploying LLM-based applications.
• Proficiency in Python, PyTorch, or TensorFlow.
• Experience with OpenAI API, Google Gemini, and Open Source LLMs such as Llama2, Mistral, or Mixtral.
• Hands-on experience with Langchain and Haystack frameworks.
• Expertise in Vector/Graph Databases including Pinecone, Milvus, or Neo4j.
• Strong understanding of Transformer/Neural Network architectures and deep learning principles.
• Experience integrating speech-to-text tools into AI systems.
• Experience with Copilot or Amazon CodeWhisperer (Amazon Q).
• Proficiency with DevOps tools including Jenkins, BitBucket, Jira, and Confluence.
• Knowledge of Java, C++, and data preprocessing for large datasets.
• Bachelor's degree in Computer Science, Artificial Intelligence, or Machine Learning.

Preferred Skills

• Master's degree in a related technical field.
• Familiarity with NLP and computer vision for generative AI applications.

Key Skills

Education

Bachelor's degree in Computer Science