Mid-Level AI Engineer (Generative AI)

STAFFXPERT LLC is seeking a Mid-Level AI Engineer on behalf of our client in Frisco, TX to design, develop, and deploy enterprise AI solutions that address complex business challenges. This role is ideal for a software engineer with hands-on experience in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and cloud-native development. The successful 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 deploy enterprise AI and Generative AI solutions. Build intelligent applications using LLMs, RAG frameworks, AI Agents, and prompt engineering techniques. Collaborate with business stakeholders to translate requirements into scalable technical solutions. Develop and integrate RESTful APIs with enterprise applications and AI services. Optimize AI systems for performance, scalability, security, and cost efficiency. Implement AI workflows using frameworks such as LangChain and LangGraph. Work closely with architects, engineers, product owners, and data teams to deliver production-ready solutions. Evaluate emerging AI technologies, tools, and cloud services to support innovation initiatives. Contribute to technical documentation, reusable components, coding standards, and AI best practices. Support proof-of-concept (PoC) initiatives and pilot programs related to AI adoption.

Bachelor’s degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field. 4 7 years of software engineering experience with hands-on AI/ML or Generative AI development. Strong proficiency in Python. Experience working with: OpenAI and/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 Docker and Kubernetes Git and cloud-native development Experience integrating AI solutions into enterprise systems and applications. Understanding of AI security, governance, and responsible AI practices. Strong analytical, problem-solving, and communication skills. Ability to collaborate effectively with both technical and business stakeholders. Preferred Qualifications Experience building production-grade RAG applications and AI agent solutions. Knowledge of MLOps, CI/CD pipelines, and AI deployment best practices. Experience with Azure and/or AWS cloud environments. Exposure to enterprise AI architecture and scalable solution design. Experience within manufacturing, automotive, or industrial domains. Relevant cloud, AI, or machine learning certifications.