Role: Senior AI Engineer, Agentic Systems – W2 Role

Location: Columbus, OH / Plano, TX (Onsite)

H1B transfers are acceptable

Position Summary

We are seeking a Senior AI Engineer, Agentic Systems to design, build, and operate production-grade agentic AI solutions for enterprise-scale use cases. This role requires hands-on experience shipping AI systems into production, operating them reliably, debugging real-world failure modes, and exposing enterprise capabilities as tools or skills for LLM-powered agents. The ideal candidate combines strong Python engineering, practical agent orchestration experience, and the ability to partner with business stakeholders to own use cases from concept through production delivery.

·   7+ years of software engineering experience, with demonstrated experience building and shipping production systems.

·   Hands-on production experience with agentic AI or GenAI applications, including deployment, monitoring, debugging, and operating agents at scale.

·   Strong Python engineering skills, with the ability to work effectively in production AI and agentic system environments.

·   Java experience or willingness to work daily within a Java service layer, especially where enterprise systems require integration with existing backend services.

·   Experience with agent frameworks and orchestration technologies, including LangChain and/or LangGraph.

·   Familiarity with production infrastructure for AI systems, including Kubernetes-based deployment environments.

·   Ability to explain shipped system architecture and failure modes, including what was deployed, how it was monitored, where it failed, and how issues were resolved.

·   Comfort working in a senior contract delivery model where the expectation is faster delivery and limited ramp-up investment.

·   Experience with LangGraph as a production orchestration layer.

·   Experience with vLLM or comparable model-serving infrastructure.

·   Experience in regulated-industry or financial-services technology environments, especially where enterprise scale and production-path stakes are important.

·   Experience working with business stakeholders to deliver end-to-end AI use cases, not only platform or prototype work.

·   Ability to operate in an onsite or hybrid delivery model, especially in a market such as NYC where the attachment notes a deeper finance-AI contractor pool.