Job Title: GEN AI Software Engineer Contract Period: 9/15/2024 – 8/31/2025 Work location: Ridgefield Park, NJ We're seeking a skilled engineer to lead the development of cutting-edge RAG applications using state-of-the-art LLM technologies. The ideal candidate will have a strong background in AI and NLP, with hands-on experience in building and optimizing LLM-based systems. This role requires expertise in integrating LLM solutions via APIs with both third-party tools and in-house applications. Experience with AWS Bedrock is highly valued, and familiarity with microservices architecture in cloud environments is a significant plus. Primary Responsibilities:Design and implement RAG (Retrieval-Augmented Generation) systems Integrate and optimize Large Language Models (LLMs) via APIs Develop efficient information retrieval and extraction systems Build and manage databases and vector stores Apply Natural Language Processing (NLP) techniques Monitor performance and continuously improve systems Integrate LLM solutions with other third-party tools and in-house applications Design and implement APIs for seamless integration of LLM capabilities Requirements:Bachelor's degree or higher in Computer Science, Artificial Intelligence, or related field (Master's preferred) Proficiency in Python programming Deep understanding of LLMs, RAG systems, and API integration Experience with NLP and machine learning Strong skills in database and API development Knowledge of distributed systems and cloud computing Expertise in integrating AI models with various software solutions Preferred Qualifications:Contributions to open-source LLM projects Experience building AI systems in large-scale production environments Experience with vector databases (e.g., Pinecone, Faiss) Proficiency with relevant libraries such as Transformers, Hugging Face Experience with AWS Bedrock for AI/ML model deployment and management Experience with microservices architecture (MSA) in cloud environments Familiarity with LLM API providers (e.g., OpenAI, Anthropic, Cohere) Suggested Tech Stack:Language: Python Frameworks: PyTorch or TensorFlow, FastAPI or Flask for API development Databases: PostgreSQL, MySQL, MongoDB, Vector Stores: Pinecone, Faiss Cloud Platforms: AWS (including Bedrock), Google Cloud, or Azure Integration Tools: Apache Kafka, RabbitMQ Total Experience: Years GEN AI: Years Python: Years PyTorch or TensorFlow, FastAPI or Flask: Years LLM / API (OpenAI, Anthropic, Cohere): Years PostgreSQL, MySQL, MongoDB: Years RAG systems: Years Natural Language Processing (NLP): Years AWS (including Bedrock), Google Cloud, or Azure Excellent Communication Skills
