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# Software Engineer

- **Company:** Nmk Global Inc.
- **Location:** San Diego, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Python (Programming Language), Machine Learning, Enterprise Software Applications, Chatbots, Pytorch, Large Language Models, Prompt Engineering, Generative AI, Low Latency
- **Published:** May 16, 2026
- **Apply:** https://www.dice.com/job-detail/d3ed089c-4fcd-4f72-9cec-802ac065866e

## About the Role

* 6+ years of experience in Python development for AI/ML applications
 * 6+ years of experience with PyTorch
 * Strong understanding of AI agents and autonomous systems
 * Experience in chatbot development and/or voice-based conversational AI systems
 * Hands-on experience with RAG systems including vector databases, embeddings, retrieval strategies, and prompt engineering
 * Familiarity with LLM providers such as OpenAI, Anthropic, Google, and Meta
 * Strong understanding of Transformer architecture and attention mechanisms
 * Experience integrating AI capabilities into enterprise applications

## Description

We are seeking a highly skilled Software Engineer with strong expertise in AI/ML development, conversational AI, and modern LLM technologies. The ideal candidate will be responsible for designing and developing AI agents, autonomous systems, chatbots, voice-based systems, and scalable AI-powered applications.

The candidate should have strong hands-on experience in Python, PyTorch, RAG systems, LLM integrations, and cloud-native AI solution development.

Core Responsibilities

 * Design and develop AI agents and autonomous systems capable of complex task execution and intelligent decision-making
 * Build conversational AI solutions including chatbots and voice-based customer service systems
 * Develop AI-powered integrations across platforms and enterprise applications
 * Create and optimize Retrieval-Augmented Generation (RAG) systems for enhanced AI application performance
 * Implement and optimize machine learning models using PyTorch
 * Evaluate and deploy appropriate LLMs based on accuracy, latency, cost, and user experience
 * Collaborate with cross-functional teams to translate business requirements into scalable AI solutions
 * Architect and maintain production-grade AI systems with focus on scalability, reliability, and performance


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