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AI Engineer GenAI / Agentic Systems

Expert In Recruitment Solutions

Dallas, TX

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JOB DETAILS
SKILLS
Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Benchmarking, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Docker, Enterprise Data Integration, GCP (Good Clinical Practices), Machine Tool, Mentoring, Microsoft Windows Azure, Ontology, Problem Solving Skills, Python Programming/Scripting Language, REST (Representational State Transfer), Scalable System Development, Team Player, Test Automation, User Interface/Experience (UI/UX)
LOCATION
Dallas, TX
POSTED
30+ days ago
What You'll Do
  • Build GenAI applications leveraging foundation models and advanced architectures such as GraphRAG.
  • Develop autonomous AI agents using modern agentic frameworks.
  • Design and deploy RAG and GenAI services using Python (FastAPI), Docker, and cloud platforms (AWS, Azure, or GCP).
  • Build scalable REST APIs that power LLM-driven applications integrated with enterprise data sources.
  • Implement LLM evaluation frameworks using tools such as Ragas, LangSmith, or custom benchmarks to measure answer relevance, groundedness, and hallucination rates.
  • Apply LLMOps/MLOps practices, including CI/CD pipelines, prompt/version management, automated testing, and monitoring of latency, cost, and response quality.
  • Develop systems leveraging embeddings at scale, knowledge graphs, and ontology extraction.
  • Collaborate across engineering teams, mentor developers, and help drive innovation in GraphRAG and agentic AI architectures.
What You'll Bring
  • 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 embeddings, knowledge graphs, ontology extraction, and advanced RAG/GraphRAG implementations.
  • Full-stack development experience (Python back end + modern front end).
  • Experience deploying AI workloads to AWS, Azure, or GCP.
  • Familiarity with LLMOps/MLOps tooling and model evaluation frameworks.
  • Strong problem-solving, communication, and collaboration skills.

About the Company

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Expert In Recruitment Solutions

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