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AI (Python) Engineer (Dallas)
AI (Python) Engineer (Dallas)Trinity Consultants • Dallas, TX, United States
AI (Python) Engineer (Dallas)

AI (Python) Engineer (Dallas)

Trinity Consultants • Dallas, TX, United States
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  • [job_card.full_time]
[job_card.job_description]

Department : Information Technology

Reports To : Manager of Application Development

Location : Dallas, TX (Hybrid)

FLSA Status : This position is exempt from overtime

ROLE

AI (Python) Engineer

Overview

We are seeking an AI Engineer with proven experience in building and scaling AI-powered applications . This role combines hands-on development with AI research and training responsibilities . The ideal candidate will design, prototype, and productionize AI agents , integrate them into enterprise workflows, and publish training resources to help teams adopt and apply AI effectively.

You will work across front-end, back-end, and AI services , leveraging frameworks such as React.js , FastAPI , and Azure AI Foundry , while exploring the latest Generative AI, RAG, and agentic frameworks .

Key Responsibilities

AI Development

  • Design, prototype, and productionize AI agents capable of intelligent communication, information retrieval, and task execution.
  • Develop and optimize high-performance code for LLM-based and Agentic AI models .
  • Drive the roadmap for Generative AI use cases , ensuring scalability and real-world impact.

Collaboration with Teams

  • Partner with transformation, engineering, and business teams to tailor AI agents for domain-specific workflows.
  • Work with AI platform teams to ensure robust infrastructure, observability, and monitoring.

    • Integration & Deployment

  • Lead and contribute to AI projects from POC to production .
  • Deploy, monitor, and scale AI solutions on Azure, AWS, or GCP , using containerized environments (Docker, Kubernetes) .
  • Integrate AI pipelines into front-end and back-end applications .

    • Continuous Learning & Optimization

  • Stay current with cutting-edge AI research (Generative AI, RAG, agentic frameworks).
  • Perform testing, validation, and performance tuning for compliance and reliability.
  • Research and publish internal training resources , workshops, and documentation to upskill teams.

    • Technologies & Tools

  • LLMs : OpenAI, LLaMA, Mistral, Gemini, Claude, Grok
  • Agentic Frameworks : Langchain, CrewAI, A2A, LLaMAIndex, RAG pipelines
  • Programming & Frameworks : Python, FastAPI, SQL, CosmosDB, Flask, Streamlit, Chainlit
  • Frontend : React, Angular
  • Cloud & Deployment : Azure Faundry, Azure OpenAI, Docker, Kubernetes, VectorDBs
  • Other Tools : Hugging Face Transformers, TensorFlow, Cognitive Services

    • Qualifications

    Education

  • Bachelors degree in computer science, Data Science, AI / ML, or related field ( required ).
  • Masters degree ( preferred ).

    • Experience

  • 23 years of hands-on experience in developing, deploying, and scaling AI / ML solutions .
  • Proven success with Generative AI, NLP / NLU, and AI agent frameworks .
  • Experience leading AI-focused projects and collaborating with business & technical stakeholders.

    • Technical Skills

  • Strong proficiency in Python and SQL .
  • Familiarity with front-end technologies (React, Angular).
  • Experience with containerization and cloud services (Azure / AWS / GCP).
  • Solid understanding of prompt engineering, LLM fine-tuning, and RAG techniques .

    • Soft Skills

  • Clear communication able to explain complex AI concepts to technical and non-technical audiences.
  • Collaboration & teamwork works well across engineering, business, and research teams.
  • Adaptability thrives in fast-moving environments with evolving AI tools.
  • Curiosity & learning mindset passionate about exploring and teaching new AI capabilities.
  • Problem-solving & critical thinking proactive in diagnosing issues and designing innovative solutions.
  • Knowledge sharing ability to research and publish training materials to foster AI adoption across the organization.
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