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Generative AI Engineer
Generative AI EngineerArtech • Richardson, TX, United States
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Generative AI Engineer

Generative AI Engineer

Artech • Richardson, TX, United States
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  • [job_card.full_time]
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Title : Generative AI Engineer

Location : Richardson, TX

Salary Range : $51 / hr.

Introduction

We are seeking a highly skilled and experienced professional to design and implement intelligent systems using cutting-edge GenAI frameworks. The ideal candidate will have deep expertise in Python, LangChain, LangGraph, AI agents, Retrieval-Augmented Generation (RAG), and Model Customization Personalization (MCP). You will be responsible for building scalable, modular, and context-aware AI solutions that drive innovation across our enterprise platforms.

Required Skills & Qualifications

(Must-have qualifications that candidates must meet to be considered)

  • Applicants must be able to work directly for Artech on W2
  • Bachelor's degree
  • Minimum of 5+ years of experience in AIML engineering, with hands-on expertise in GenAI technologies
  • 5+ years of experience in Python
  • 4+ years of experience in Generative AI
  • Experience with LangChain, LangGraph, and vector databases (e.g., FAISS, Pinecone, Weaviate)
  • Strong understanding of AI agent frameworks and orchestration strategies
  • Experience implementing RAG architectures and integrating external knowledge sources
  • Familiarity with MCP techniques, including prompt tuning, LoRA, and adapter-based fine-tuning
  • Experience with LLMs (e.g., OpenAI, Anthropic, HuggingFace models)
  • Excellent problem-solving and communication skills

Preferred Skills & Qualifications

(Nice-to-have skills but are not required)

  • Experience with performance optimization of AI models
  • Knowledge of security governance and responsible AI practices
  • Familiarity with integrating GenAI solutions into existing applications and services
  • Day-to-Day Responsibilities

  • Design and develop modular GenAI workflows using LangChain and LangGraph to orchestrate complex reasoning and task execution
  • Build and deploy autonomous AI agents capable of multi-step reasoning, tool usage, and dynamic decision-making
  • Implement Retrieval-Augmented Generation systems using vector databases and retrievers to enhance contextual relevance and accuracy
  • Fine-tune and personalize foundation models using prompt engineering, adapters, and other MCP techniques to align with business-specific use cases
  • Collaborate with engineering teams to integrate GenAI solutions into existing applications and services
  • Monitor and optimize model performance, latency, and reliability across various environments
  • Ensure responsible AI practices, including data privacy, model integrity, and compliance with internal and external standards
  • Stay current with the latest advancements in GenAI, LLMs, and agentic frameworks to continuously improve solution capabilities
  • For immediate consideration please click APPLY to begin the screening process with Alex.

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