AI Model Developer

Job Title: AI Model Developer,

Duration : Long-term,

Location : Remote,

Job Summary:

We are seeking a skilled and innovative AI Model Developer to join our team. The ideal candidate will have a strong background in working with Large Language Models (LLMs) and developing advanced AI solutions to enhance our company’s capabilities. This role will involve creating, fine-tuning, and deploying models that leverage cutting-edge AI techniques to improve consumer experiences.

Key Responsibilities:

• Develop and implement models using OpenAI’s ChatGPT API or similar LLMs, focusing on prompt engineering and fine-tuning techniques.
• Utilize retrieval-augmented generation (RAG) methods to enhance model performance and information retrieval capabilities.
• Write Python scripts for data processing, API integration, and model deployment.
• Work with APIs, including OpenAI and RESTful APIs, to integrate AI models into existing systems.
• Manage and manipulate structured and unstructured data using SQL and MongoDB.
• Utilize Azure Databricks for data processing and model training.
• Implement embedding models for efficient vector data storage and retrieval.
• Document all processes, changes, and system designs to ensure clear communication and traceability.
• Troubleshoot AI model integration issues and ensure optimal performance.
• Work with distributed data systems such as Databricks and Spark.
• Conduct clustering, embedding creation, and evaluation for structured, semi-structured, and unstructured data.
• Apply model alignment and bias mitigation strategies.
• Evaluate embeddings, retrievers, and generation models using LangSmith, MLflow, and custom evaluation functions.

Required Qualifications:

• Experience with OpenAI's ChatGPT API or similar LLMs, including Azure OpenAI for generation and embeddings.
• Familiarity with fine-tuning LLMs and prompt engineering, particularly in Azure OpenAI.
• Proficiency in Python for scripting, data processing, and API integration.
• Experience working with APIs (e.g., OpenAI, RESTful APIs).
• Proficient in SQL and experienced with MongoDB, including vector storage, indexing, and retrieval.
• Experience with vector databases such as Pinecone and FAISS.
• Experience with databases such as Redis, MongoDB, and SQL Server.
• Experience with embedding models for vector storage and retrieval.
• Strong problem-solving skills and ability to debug AI models and resolve integration issues.
• Excellent documentation skills for tracking changes, models used, and system designs.
• Familiarity with LangChain and LangGraph frameworks.
• Experience with Pinecone for vector storage and retrieval.