Senior Generative AI Engineer @ Columbus, OH (Onsite) || W2 Only
HYR Global Source
Columbus, United States of America
6 days ago
Role details
Contract type
Temporary to permanent Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Senior Compensation
$ 156KJob location
Remote
Columbus, United States of America
Tech stack
Java
JavaScript
API
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Cloud Computing
Cloud Engineering
DevOps
Python
Software Engineering
Google Cloud Platform
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