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# Sr Software Engineer (AI Engineer)

- **Company:** Vertisystem Inc.
- **Location:** Columbus, OH, United States
- **Experience:** Expert
- **Salary:** $187,200.0 - $228,800.0
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Computer Programming, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Software Design Patterns, DevOps, Machine Learning, Scrum Methodology, Cloud Services, Azure Machine Learning, Software Engineering, Systems Integration, Enterprise Software Applications, Data Ingestion, Large Language Models, Prompt Engineering, Kubernetes, Information Technology, Nintex, Machine Learning Operations, Virtual Agents, Api Design, Data Pipelines, Microservices
- **Published:** June 29, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=bc76190dbd45cf30

## About the Role

Do you have experience in Systems integration?, Do you have a Bachelor's degree?, Are you passionate about building next-generation AI solutions that combine Agentic AI, Machine Learning, and enterprise-scale system integration?, * Bachelor's or Master's degree in Computer Science, Software Engineering, AI, Data Science, or a related field.

 * 5+ years of software engineering experience with strong programming expertise.
 * Hands-on experience in both:
 * Agentic AI development
 * Traditional AI/ML model development and deployment
 * Strong experience with:
 * LangChain
 * LangGraph
 * AgentCore
 * n8n or similar orchestration platforms
 * Deep understanding of AI solution architecture and design patterns.
 * Experience with the complete Machine Learning lifecycle.
 * Strong background in Data Engineering, ETL, and data pipelines.
 * Experience with API development, microservices, and enterprise system integration.
 * Cloud expertise in:
 * AWS AI/ML Services
 * Azure AI Stack
 * Strong knowledge of Agile, DevOps, CI/CD, and software delivery best practices., * Experience building enterprise-grade AI assistants and autonomous agent ecosystems.
 * Knowledge of RAG, vector databases, LLM fine-tuning, and prompt engineering.
 * Experience with MLOps and model governance frameworks.
 * Strong leadership, communication, and stakeholder management skills

## Description

* Build and implement Agentic AI solutions, including AI agents and their underlying components.
 * Develop and integrate traditional AI/ML models using structured and unstructured datasets.
 * Create autonomous workflows using orchestration platforms such as n8n and similar tools.
 * Design scalable AI architectures using frameworks like LangChain, LangGraph, and AgentCore.
 * Manage the complete ML lifecycle, including data ingestion, model training, deployment, monitoring, and optimization.
 * Develop and integrate APIs with enterprise systems and third-party platforms.
 * Collaborate with business stakeholders to translate requirements into AI-driven solutions.
 * Participate in Agile ceremonies and contribute as a Business Analyst, Scrum Master, or technical lead when required.
 * Extend DevOps responsibilities into operational support, monitoring, and continuous improvement.
 * Lead technical initiatives and manage project deliverables with minimal supervision.


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