AI Engineer - GenAI / Agentic Systems

Dallas, TX, US • Posted 1 day ago • Updated 11 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Large Language Models (LLMs)
  • Generative Artificial Intelligence (AI)
  • Docker
  • Cloud Computing
  • LangSmith
  • Continuous Integration
  • Continuous Delivery
  • Management
  • Automated Testing
  • Ontologies
  • Extraction
  • Computer Science
  • Machine Learning (ML)
  • Software Engineering
  • Python
  • Artificial Intelligence
  • Amazon Web Services
  • Microsoft Azure
  • Google Cloud Platform
  • Google Cloud
  • Machine Learning Operations (ML Ops)
  • Evaluation
  • Conflict Resolution
  • Problem Solving
  • Communication
  • Collaboration

Summary

Our client is seeking an AI Engineer - GenAI / Agentic Systems to design and build enterprise-grade generative AI applications leveraging modern LLM architectures. This role focuses on developing agentic AI systems, RAG pipelines, and scalable APIs that integrate large language models with enterprise data platforms.
Responsibilities & Qualifications
  • Build GenAI applications leveraging foundation models and advanced architectures such as GraphRAG
  • Develop autonomous AI agents using modern agentic frameworks
  • Design and deploy RAG-based services using Python (FastAPI), Docker, and cloud platforms
  • Build scalable REST APIs powering LLM-driven applications integrated with enterprise data sources
  • Implement LLM evaluation frameworks using tools such as Ragas, LangSmith, or custom benchmarks
  • Apply LLMOps/MLOps practices including CI/CD pipelines, prompt management, automated testing, and monitoring
  • Develop systems leveraging embeddings, knowledge graphs, and ontology extraction
  • Collaborate with engineering teams and contribute to advanced GraphRAG and agentic AI architectures
Requirements
  • Degree in Computer Science, AI/ML, or related field
  • 5+ years of AI/ML-focused software engineering experience
  • Production experience building LLM-based or agentic AI systems
  • Strong expertise in Python and modern AI frameworks
  • Experience with RAG / GraphRAG implementations and embeddings at scale
  • Experience deploying AI workloads to AWS, Azure, or Google Cloud Platform
  • Familiarity with LLMOps/MLOps tooling and model evaluation frameworks
  • Strong problem-solving, communication, and collaboration skills
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91166607
  • Position Id: 6a8bc8bf77fd31e8da80a2b74a4834bc
  • Posted 1 day ago
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