AI (Python) Engineer (Dallas)Trinity Consultants • Dallas, TX, US

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AI (Python) Engineer (Dallas)

Trinity Consultants • Dallas, TX, US

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[job_card.part_time]

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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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