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
Bachelor’s degree in computer science, Data Science, AI/ML, or related field (
required
).
Master’s degree (
preferred
).
Experience
2–3 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.