AI Implementation Engineer @ Whopper Technologies | Jobright.ai
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AI Implementation Engineer jobs in United States
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Whopper Technologies · 3 hours ago

AI Implementation Engineer

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IT Services and IT Consulting

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Responsibilities

Collaboration: Work with AI architect, infrastructure, and other engineers to develop and deploy AI models based on jointly created designs.
Operations: Ensure scalability, reliability, and security of AI and data orchestration systems. Design systems to produce ethical, unbiased output.
Support: Provide SME-level support, documentation, and guidance for implemented AI processes.
Governance and Improvement: Monitor and improve AI systems based on performance metrics and user feedback. Implement governance and observation methodologies to provide transparency to model operations.
Data Preparation: Design and implement processes to improve data quality, synthesize data, produce training sets, and generally prepare data for AI usage.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

AI Solution DesignMachine LearningData SciencePythonJavaPrompt EngineeringAzureAWSData ProductsLangChainTensorFlowPyTorchRetrieval Augmented GenerationDevOpsCI/CDAPI DevelopmentCloud Computing CertificationData Engineering CertificationAI Certification

Required

Proven experience as a Data Engineer, AI Engineer, or similar role, with a focus on production, customer-facing implementation of data orchestration and AI technologies.
Proficiency in programming languages (Python, Java), familiarity with related AI/ML frameworks (ex. LangChain, TensorFlow, PyTorch).
Experience with prompt flows, prompt engineering best practices, and AI patterns (ex. Retrieval Augmented Generation (RAG)).
Development and production deployment experience with data products on public cloud platforms (Azure and AWS preferred).
Strong development practices including source control, testing methodologies, and, preferably, DevOps or CI/CD processes and tooling.
Familiarity with vector databases, search indexes, and embeddings.
Education: Bachelor’s degree in Computer Science, Engineering, or a related field.

Preferred

Experience with application and API development practices is a plus.
Relevant certifications in AI, data engineering, or cloud computing are a plus.

Company

Whopper Technologies

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Whopper Technologies: Leading IT Professionals Empowering Global Fortune 5000 Enterprises.

Funding

Current Stage
Early Stage
Company data provided by crunchbase
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Orion

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