Role: AI Prompt Engineer with a Data Engineering background Location : Charlotte, NC Duration: Long term contract Overview: We re seeking a creative and technically strong AI Prompt Engineer with a Data Engineering background to join our growing Local Solutions team. This role will be instrumental in building an interactive AI data product with robust ingestion frameworks, lineage tracking, and dynamic prompt-response capabilities. Key Responsibilities: Design and implement prompt engineerin
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12+ years of proven work experience in QA with an emphasis on QA automation.
5+ years of demonstrable experience in automation technologies including Rest Assured, Playwright, Selenium, Junit, TestNG, Gherkin, JMeter etc. and scripting languages (Java, Python)
Strong experience in services/API testing and automation
In-depth knowledge of test management software (e.g., Jira and xRay)
Proficiency in usage of SQL queries for databases or large datasets
Expertise with CI tools (GitHub, Te
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Role Purpose
The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters
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Qualifications:
Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or related field
Proven track record in medical NLP or domain-specific LLM projects.
Strong understanding of transformer architectures, embedding models, and prompt engi
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Proven ability to orchestrate bare metal linux systems at scale including building automation for firmware updates, bios config management, configuring PXE environments.• Deep Linux systems experience including troubleshooting network interfaces, developing and applying configuration management, security best practices and monitoring and alerting.• Strong automation mindset. Expert knowledge in 1 or more orchestration tools such as MaaS, Salt, Chef, Ansible or Puppet.• Strong communication skill
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We are seeking a skilled and innovative Software Engineer to leverage GitHub Copilot and Generative AI capabilities to enhance software development workflows, improve productivity, and drive innovation. The ideal candidate will have a strong background in software development, experience with AI-powered tools, and a passion for integrating cutting-edge technologies into development processes.
Key Responsibilities:
Utilize GitHub Copilot to assist in writing, debugging, and optimizing code ac
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Role Overview:
Seeking a highly skilled AI Security Engineer to join the Shared Security Services Engineering team. The engineer will be responsible for developing, deploying, and maintaining enterprise-grade security solutions specifically focused on protectingAI/ML resources and models from emerging security threats.
Key Responsibilities:
Collaborate with AI/ML and security architecture teams to define and deliver secure AI solutions.
Design and implement protection against p
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Skills :
ML/DL Frameworks: TensorFlow, PyTorch, Keras, Scikit-learn, XGBoost
DevOps / MLOps: GitHub, GitHub Actions, CI/CD pipelines
DevSecOps: RBAC, SSO / SCIM, OAuth, Snowflake’s security model
Data Visualization: Power BI, Angular
Monitoring & Orchestration: Dagster, Airflow, Grafana, Prometheus
Data Ingestion: Airbyte, Snowpipe Files & Streaming, Kafka, APIs
Data Processing: Dataiku, Spark, Snowflake (streams / tasks / dynamic tables ), Python, SQL
Compute: Snowflake Warehous
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Key ResponsibilitiesEnsure the reliability and performance of production systemsDevelop and maintain dashboards to provide monitoring and system insightsImplement instrumentation and logging for enhanced system observabilityDesign and maintain automated tests to ensure code qualityDrive logging and automation initiatives across the stackFocus on development within the server-side stack
Required QualificationsProficient coding experience in C++ or similar programming languagesPrior work on AI
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Advanced experience in production grade Machine Learning Model design and implementation including LLMs, Model Evaluation and MLOps.
In depth exposure and experience in designing and implement machine learning models using Google Vertex AI & Python in the context of Conversational AI.
Collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient AI solutions.
Design, build, and deploy machine learning models on the Google Clou
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AI/ML Solution Development: Design, develop, and implement scalable and robust AI/ML models and solutions to address Infrastructure monitoring, issues, utilization.
Agentic AI Systems: Lead the research, design, and development of autonomous AI agents that can perform multi-step, multi-layer tasks with minimal human intervention
SDLC Integration: Seamlessly integrate AI/ML models and agentic AI systems into existing SDLC tools and workflows (e.g., CI/CD pipelines, version control systems, pr
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