Senior AI Engineer (Generative AI)
Staffxpert LLC
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Job Title Senior AI Engineer (Generative AI)
Location Plano, TX (Hybrid - 3 Days Onsite per Week)
Job Summary
STAFFXPERT LLC is seeking a Senior AI Engineer on behalf of our client in Plano, TX. This role is ideal for a hands-on AI professional who is passionate about building and deploying enterprise-scale Generative AI solutions. The successful candidate will play a key role in designing, developing, and implementing AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI frameworks, and cloud-native technologies.
The ideal candidate combines strong software engineering expertise with practical experience delivering production-ready AI solutions that drive business value and innovation.
Key Responsibilities
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Design, develop, and deploy scalable AI and Generative AI applications in production environments.
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Build and maintain LLM-powered solutions using modern AI platforms and frameworks.
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Develop Retrieval-Augmented Generation (RAG) solutions leveraging vector databases and enterprise knowledge sources.
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Implement Agentic AI workflows using frameworks such as LangChain and LangGraph.
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Create and integrate RESTful APIs to enable AI capabilities across business applications.
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Collaborate with cross-functional teams to gather requirements and deliver AI-driven solutions.
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Optimize AI applications for performance, scalability, reliability, and cost efficiency.
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Conduct prompt engineering, model evaluation, testing, and continuous improvement of AI systems.
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Deploy and manage applications using containerization and orchestration technologies such as Docker and Kubernetes.
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Support MLOps practices including model deployment, monitoring, and lifecycle management.
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Stay current with emerging AI technologies and contribute to innovation initiatives.
Required Qualifications
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Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field.
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7+ years of software engineering experience with a strong development background.
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3+ years of hands-on experience building and deploying AI/ML or Generative AI solutions.
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Strong proficiency in Python and modern software development practices.
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Experience developing AI applications using:
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OpenAI
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Azure AI Services
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AWS Bedrock
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LangChain
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LangGraph
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Vector Databases (e.g., Pinecone, Chroma, Weaviate, FAISS)
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Experience building and consuming REST APIs.
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Hands-on experience with Docker and Kubernetes.
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Knowledge of cloud platforms such as Azure and AWS.
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Experience implementing RAG architectures and AI agent frameworks.
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Strong analytical, troubleshooting, and problem-solving skills.
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Excellent communication and collaboration abilities.
Preferred Qualifications
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Experience working within automotive, manufacturing, or industrial environments.
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Knowledge of Industry 4.0 initiatives and enterprise digital transformation programs.
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Experience with MLOps, CI/CD pipelines, and AI application monitoring.
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Familiarity with AI governance and responsible AI practices.
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Cloud or AI-related certifications.
Required Skills
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Generative AI
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Large Language Models (LLMs)
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Retrieval-Augmented Generation (RAG)
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Agentic AI
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Python
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OpenAI
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Azure AI
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AWS Bedrock
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LangChain
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LangGraph
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Vector Databases
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REST APIs
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Docker
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Kubernetes
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Cloud Technologies (Azure/AWS)
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MLOps
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Prompt Engineering
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AI Application Development
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