Senior Generative AI Engineer @ Columbus, OH (Onsite) || W2 Only

HYR Global Source
Columbus, OH, United States
about 2 months ago
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Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$145,600.0 - $156,000.0
Working hours
Regular working hours

Tech stack

Java (Programming Language) JavaScript (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Cloud Engineering DevOps Python (Programming Language) Software Engineering Google Cloud
+11 more
Delivery Pipeline Large Language Models Prompt Engineering Generative AI Backend Event Driven Architecture Kubernetes Information Technology Virtual Agents Api Design Microservices

Job description

  • Build AI-enabled applications, APIs, and automation solutions
  • Develop and optimize prompt patterns and AI agent workflows
  • Design scalable backend services and integrations
  • Implement event-driven systems and deployment pipelines
  • Collaborate with cross-functional teams to deliver secure solutions

Requirements

Work Authorization: U.S. Citizens and Green Card Holders highly preferred, all valid work authorizations may apply. Education Requirement - Bachelor’s Degree in: Computer Science, Information Technology, Or related field Summary of Role - We are looking for a Senior Generative AI Engineer with strong experience in building AI-driven applications, prompt engineering, and cloud-based integrations. This role focuses on developing scalable AI agents, APIs, and event-driven systems across modern cloud platforms. Required Skills - * 8 12 years of software engineering experience

  • Hands-on experience with Generative AI and real-world implementations
  • Strong cloud engineering background with scalable system design
  • Ability to work independently in fast-paced environments
  • Excellent problem-solving and communication skills

Key Skills -

  • Prompt Engineering and AI Model Integration (LLMs, GenAI use cases)
  • Agentic AI development (AI agents, workflows, orchestration)
  • API Development and Integration (REST, microservices)
  • Cloud Platforms: GCP (preferred), AWS or Azure
  • Event-driven architecture (Pub/Sub, messaging systems)
  • CI/CD pipelines and DevOps practices
  • Programming: Python, Java, or JavaScript

Nice to Have (Not Mandatory) -

  • Experience with Vertex AI, Cloud Run, or similar GCP services
  • Full-stack development exposure (backend + UI)
  • Kubernetes and container-based deployments
  • Experience building production-grade AI applications

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

2:17 min

Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum Dominik Krichbaum · World Congress 2026 Europe

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

3:10 min

Understanding the core concepts of API design

Alen Pokos · LIVE

2:08 min

Essential engineering roles in the generative AI space

Mary Grygleski Mary Grygleski · LIVE

3:18 min

Scaling global network engineering through DevOps culture

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