AI Engineer (Mid-Level)

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AI Engineer (Mid-Level)

Location: Frisco, TX (Hybrid, Onsite as Required)



Employment Type: Contract

About Us

STAFFXPERT LLC is a trusted talent solutions and staffing partner dedicated to connecting skilled professionals with innovative organizations across technology, engineering, and business domains. We specialize in identifying top talent and matching them with opportunities that drive career growth and business success.

Job Title

AI Engineer (Mid-Level)

Job Summary

STAFFXPERT LLC is seeking an AI Engineer on behalf of our client in Frisco, TX to design, develop, and deploy enterprise-grade AI solutions that address complex business challenges. This role is ideal for a hands-on engineer with experience in Generative AI, Large Language Models (LLMs), AI agents, and cloud-native application development. The selected candidate will collaborate with cross-functional teams to build scalable, secure, and production-ready AI applications that deliver measurable business value.

Key Responsibilities

• Design, develop, and implement enterprise AI and Generative AI applications.

• Build AI-powered solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and prompt engineering techniques.

• Collaborate with business stakeholders, product teams, and technical leaders to translate business requirements into scalable AI solutions.

• Develop and integrate APIs and AI services with enterprise platforms and applications.

• Optimize AI models, workflows, and system performance for scalability, reliability, security, and cost efficiency.

• Partner with AI Architects, Data Engineers, Software Engineers, and Product Owners to deliver production-ready solutions.

• Evaluate emerging AI tools, frameworks, and cloud services to enhance business outcomes.

• Contribute to engineering best practices, reusable AI components, technical documentation, and development standards.

• Support AI proof-of-concepts, pilot programs, and innovation initiatives.

• Stay current with advancements in Generative AI, Agentic AI, cloud technologies, and AI engineering methodologies.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field.

• 4 to 7 years of software engineering experience, including hands-on AI/ML or Generative AI development.

• Strong proficiency in Python.

• Experience with:

  • OpenAI or Azure OpenAI

  • Azure AI Services or AWS Bedrock

  • LangChain and/or LangGraph

  • Large Language Models (LLMs)

  • Retrieval-Augmented Generation (RAG)

  • AI Agents and Prompt Engineering

  • Vector Databases

  • REST API development and integration

  • Docker and Kubernetes

  • Git and cloud-native development practices

  • Cloud platforms such as Microsoft Azure or AWS

• Experience integrating AI solutions with enterprise systems and applications.

• Understanding of AI security, governance, and responsible AI principles.

• Strong analytical, problem-solving, and communication skills.

• Ability to collaborate effectively with both technical teams and business stakeholders.

Preferred Qualifications

• Experience building and deploying production-grade RAG solutions and AI agent frameworks.

• Knowledge of MLOps, CI/CD pipelines, and AI deployment best practices.

• Experience within automotive, manufacturing, or industrial environments.

• Microsoft Azure, AWS, or AI-related certifications.

• Familiarity with enterprise AI architecture and governance frameworks.

Technical Skills

Core Technologies:

• Python

• OpenAI / Azure OpenAI

• Azure AI Services or AWS Bedrock

• LangChain

• LangGraph

• LLMs

• Retrieval-Augmented Generation (RAG)

• AI Agents

• Prompt Engineering

• Vector Databases

• REST APIs

• Docker

• Kubernetes

• Git

• Azure or AWS

Nice-to-Have Skills:

• MLOps

• CI/CD

• AI Governance

• Enterprise AI Architecture

• Manufacturing or Automotive Domain Experience