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Apprentice Generative Ai Engineer Jobs in Ohio (NOW HIRING)

$93K - $128K/yr

Background We are looking for a Senior Generative AI Engineer to design, build, and ship production-grade Generative AI and Agentic AI applications that delivery business value across the ...

New

Generative AI Architect

Cleveland, OH · On-site

$61 - $80.25/hr

Generative AI Architect Location : Cleveland, OH (Onsite) Job Responsibilities: • Design and own the end-to-end architecture for GenAI-powered product features. • Guide engineering teams on best ...

... generative AI), rigorous analytical thinking, and the operational context needed to ensure ... The Applied AI Engineer embeds directly with operational leaders to translate real-world business ...

... generative AI), rigorous analytical thinking, and the operational context needed to ensure ... The Applied AI Engineer embeds directly with operational leaders to translate real-world business ...

... generative AI), rigorous analytical thinking, and the operational context needed to ensure ... The Applied AI Engineer embeds directly with operational leaders to translate real-world business ...

... generative AI), rigorous analytical thinking, and the operational context needed to ensure ... The Applied AI Engineer embeds directly with operational leaders to translate real-world business ...

POSITION SUMMARY Flexjet is seeking a skilled and innovative AI Engineer to design, develop, and ... or generative AI Familiarity with MLOps tools (e.g., Docker, Kubernetes, CI/CD pipelines ...

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POSITION SUMMARY Flexjet is seeking a skilled and innovative AI Engineer to design, develop, and ... vision, or generative AI • Familiarity with MLOps tools (e.g., Docker, Kubernetes, CI/CD ...

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POSITION SUMMARY Flexjet is seeking a skilled and innovative AI Engineer to design, develop, and ... generative AI · Familiarity with MLOps tools (e.g., Docker, Kubernetes, CI/CD pipelines) · ...

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Flexjet is seeking a skilled and innovative AI Engineer to design, develop, and deploy machine ... vision, or generative AI • Familiarity with MLOps tools (e.g., Docker, Kubernetes, CI/CD ...

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Apprentice Generative Ai Engineer information

What is the difference between Apprentice Generative Ai Engineer vs Junior Data Scientist?

AspectApprentice Generative Ai EngineerJunior Data Scientist
Required CredentialsBasic understanding of AI, programming, and machine learning fundamentalsBachelor's degree in Data Science, Computer Science, or related field
Work EnvironmentHands-on training in AI development teams, often in tech companies or startupsData analysis, modeling, and reporting in various industries
Employer & Industry UsageTech companies focusing on AI products, research labs, startupsFinance, healthcare, marketing, and other data-driven sectors

The Apprentice Generative Ai Engineer role is focused on gaining practical experience in AI development, often with mentorship, while a Junior Data Scientist typically handles data analysis and modeling tasks. Both roles require foundational knowledge, but the Apprentice role emphasizes learning and skill development in generative AI technologies.

What are the most commonly searched types of Generative Ai Engineer jobs in Ohio? The most popular types of Generative Ai Engineer jobs in Ohio are:
What are popular job titles related to Apprentice Generative Ai Engineer jobs in Ohio? For Apprentice Generative Ai Engineer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Apprentice Generative Ai Engineer jobs in Ohio look for? The top searched job categories for Apprentice Generative Ai Engineer jobs in Ohio are:
What cities in Ohio are hiring for Apprentice Generative Ai Engineer jobs? Cities in Ohio with the most Apprentice Generative Ai Engineer job openings:
Senior Generative AI Engineer

$93K - $128K/yr

Other

Posted 6 days ago

New


Job description

This is a Canada based Full Time role and looking for only Canadian Citizen, Permanent Resident - Canada.
Note: Data Scientist candidates will not be workbale.

JD:
 
Background
 
We are looking for a Senior Generative AI Engineer to design, build, and ship production-grade Generative AI and Agentic AI applications that delivery business value across the organization. This role is focused on building AI applications and services at scale. You will be responsible for building robust, secure, and highly scalable systems that integrate with leading cloud-based AI services. 
You will work alongside product managers, designers, and other engineers as an individual contributor. You are expected to own features end-to-end, and to deliver high-quality, reusable code that scales beyond a single use case.
 
Key Responsibilities
 
Software Engineering and Execution
•    Design, build, and ship production-grade Generative and Agentic AI features and applications
•    Own features end-to-end from technical design through implementation, testing, deployment and operation
•    Build reusable, well-abstracted components and shared utilities (e.g., RAG building blocks, agent scaffolding, evaluation harnesses, prompt utilities) to enable faster delivery of future
 
Generative and Agentic AI products
•    Build multi-agent systems using frameworks such as LangChain, LangGraph, Claude Agent SDK and Google ADK
•    Integrate with leading LLM and foundation model APIs, including Azure OpenAI, Google Vertex AI, and AWS Bedrock
•    Build Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, chunking strategies, embeddings, vector search, and re-ranking
•    Build clean, well-tested RESTful and/or gRPC APIs with a focus on reliability, security, and performance
•    Implement observability, tracing, evaluation, guardrails for Generative and Agentic AI applications
•    Deploy and operate services on major cloud providers (e.g., Google Cloud Platform, AWS, and Azure) leveraging managed services
•    Participate actively in code reviews and design discussions, sharing knowledge with peers
 
Required Qualifications 
•    5-7 years of professional software engineering experience with at least 3 years of experience building AI/ML software products
•    Bachelor’s degree in Computer Science or a related field (Master’s degree preferred)
•    Strong proficiency in Python, with deep software engineering fundamentals (abstraction, modularity, system design, testing, performance)
•    Hands-on experience building and shipping Generative and Agentic AI applications, including LLM integration, prompt engineering, and/or agentic workflows
•    Practical experience integrating cloud-hosted LLM APIs such as Azure OpenAI, Vertex AI, and/or AWS Bedrock
•    Experience with agent frameworks (e.g., LangChain, LangGraph, Google ADK, Claude Agent SDK) and vector databases (e.g., Pinecone, Weaviate, pgvector, Open Search, AlloyDB)
•    Hands-on experience with Google Cloud Platform (Google Cloud Platform), Amazon Web Services (AWS), or Azure
•    Solid understanding of API design, distributed systems, and cloud-native architecture
•    Track record of taking systems from design through production deployment and operation 
 
Preferred Qualifications 
•    Experience with containerization and orchestration (Docker, Kubernetes)
•    Knowledge of Generative AI Risk Management frameworks (NIST RFM)
•    Experience supporting developer platforms or internal tooling