TechniPros
Data Scientist (Generative AI / Agentic AI)-Plano, TX/Oklahoma City, OK/Little Rock, AR/Springfield, MO/Denver, CO
Plano, Texas, USA · Contract
Sponsorship not specifiedDetected 41 days ago
Distributed SystemsCode ReviewGitVector DatabasesAWSGCPAzureCloud PlatformsCI/CDMachine LearningData EngineeringData ScienceLLMsRAGAgentic AIMLOpsAI OrchestrationAgileControlsAR/VRCollaboration
About the role
- We are seeking an experienced Data Scientist with expertise in Generative AI and Agentic AI to join a high-impact initiative based in Plano, TX.
- The ideal candidate will possess strong hands-on experience as an Individual Contributor in Machine Learning Engineering and have deep knowledge of modern AI architectures, LLM-powered applications, MLOps, and cloud platforms.
Responsibilities
- Build and support Agentic AI architectures, including multi-agent systems and agent-based workflows.
- Develop and optimize Retrieval-Augmented Generation (RAG) pipelines and LLM-powered applications.
- Implement Model Context Protocol (MCP) and context engineering techniques to improve AI system performance.
- Design and orchestrate AI workflows using modern AI orchestration frameworks.
- Build and maintain MLOps pipelines supporting model lifecycle management, CI/CD, monitoring, and automation.
- Support software development best practices including code reviews, version control, and collaborative development workflows.
- Work with cloud-native AI and data platforms to deploy and manage production workloads.
- Collaborate with data engineering teams to support scalable data pipelines and feature engineering processes.
- This role requires collaboration with cross-functional AI teams to build scalable, production-grade intelligent systems.
Nice to have
- Experience with AI agent frameworks and orchestration platforms.
- Experience designing scalable, production-grade AI systems.
- Exposure to vector databases and semantic search technologies.
- Experience working with cloud-native AI services.
- Knowledge of responsible AI, model governance, and AI security practices.
- Familiarity with distributed systems and microservices architectures.
- Experience supporting large-scale AI initiatives in enterprise environments.
- Best Regards: Lucy Rose Phone: Email:
Benefits
- Design, develop, and deploy advanced Machine Learning and Generative AI solutions.
- Collaborate with Machine Learning Engineers, Data Scientists, and AI practitioners to deliver scalable AI solutions.
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