GEN AI Software Engineer

CEF Solutions Inc. is a Consulting Services, and Business Process Outsourcing (BPO) company specialized in providing BPO Operations, Operations Management, Process Engineering and Innovation, and Cost Optimization solutions to clients in the Customer Service industry. We service some of the largest multinational companies in the world and are expanding quickly by delivering an unmatched end-to-end client experience.

Company website: www.CEF.inc

JOB DESCRIPTION:

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.

ROLE AND 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

QUALIFICATIONS:

• 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

OTHER QUALIFICATIONS:

• Legally authorized to work in the U.S. without any restrictions

• Okay to work 100% on-site in Ridgefield Park, NJ