Senior AI Engineer (Generative AI)

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., Design, develop, and deploy scalable AI and Generative AI applications in production environments. Build and maintain LLM-powered solutions using modern AI platforms and frameworks. Develop Retrieval-Augmented Generation (RAG) solutions leveraging vector databases and enterprise knowledge sources. Implement Agentic AI workflows using frameworks such as LangChain and LangGraph. Create and integrate RESTful APIs to enable AI capabilities across business applications. Collaborate with cross-functional teams to gather requirements and deliver AI-driven solutions. Optimize AI applications for performance, scalability, reliability, and cost efficiency. Conduct prompt engineering, model evaluation, testing, and continuous improvement of AI systems. Deploy and manage applications using containerization and orchestration technologies such as Docker and Kubernetes. Support MLOps practices including model deployment, monitoring, and lifecycle management. Stay current with emerging AI technologies and contribute to innovation initiatives., Agentic AI Python OpenAI Azure AI AWS Bedrock LangChain LangGraph Vector Databases REST APIs Docker Kubernetes Cloud Technologies (Azure/AWS) MLOps Prompt Engineering AI Application Development, AI Engineer Location: Plano, TX Type: Contract Work Mode: Onsite Final F2F round in person initial screening and then Amdocs Teams videos interview. Total 3 rounds Locals on…

• 16 hours ago
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Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field. 7+ years of software engineering experience with a strong development background. 3+ years of hands-on experience building and deploying AI/ML or Generative AI solutions. Strong proficiency in Python and modern software development practices. Experience developing AI applications using: OpenAI Azure AI Services AWS Bedrock LangChain LangGraph Vector Databases (e.g., Pinecone, Chroma, Weaviate, FAISS) Experience building and consuming REST APIs. Hands-on experience with Docker and Kubernetes. Knowledge of cloud platforms such as Azure and AWS. Experience implementing RAG architectures and AI agent frameworks. Strong analytical, troubleshooting, and problem-solving skills. Excellent communication and collaboration abilities. Preferred Qualifications Experience working within automotive, manufacturing, or industrial environments. Knowledge of Industry 4.0 initiatives and enterprise digital transformation programs. Experience with MLOps, CI/CD pipelines, and AI application monitoring. Familiarity with AI governance and responsible AI practices. Cloud or AI-related certifications. Required Skills Generative AI Large Language Models (LLMs)