AI Engineer

Role: AI Engineer

Location: Dallas TX
Employment Type: Contract

Key Skills AI Python Rag LLM

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 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

• 7 8 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.