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
