Senior AI Engineer

Senior AI Engineer, Agentic Systems:

Location: Columbus, OH/ Wilmington, DE / Plano, TX (5 Days Onsite) -

Duration: 12 Months

Employment Type: W2

Need Local Candidates as the final round of interview will be in-person.

Not open for H1B or H1B transfer

Position Summary

The Senior AI Engineer, Agentic Systems will design, build, deploy, and operate production-grade agentic AI systems that support enterprise-scale use cases. The role emphasizes shipped production experience, system reliability, orchestration, monitoring, debugging, and the ability to expose enterprise capabilities as tools or skills for LLM-powered agents.

Core Responsibilities

· Build and operate production agentic AI systems, including deployed, monitored, and debugged agents running at scale.

· Own agentic use cases end-to-end, partnering directly with business stakeholders from problem definition through delivery and operational support.

· Design orchestration patterns for autonomous or semi-autonomous agents using modern agent frameworks and production orchestration layers.

· Develop enterprise capabilities as tools or skills for LLMs, enabling agents to interact with business systems and workflows in a controlled, scalable way.

· Engineer reliable backend services for agentic workloads, with emphasis on Python-based development and integration with Java service layers where required.

· Implement and support production infrastructure for AI workloads, including environments where Kubernetes and model-serving components such as vLLM may be part of the stack.

· Evaluate and communicate system failure modes, including the ability to walk through shipped systems, operational issues, debugging approaches, and mitigation strategies.

· Collaborate with vendor, engineering, and business teams to deliver solutions with limited ramp-up time, consistent with expectations for senior contract engineering talent.

· Maintain a production-first engineering standard, ensuring the role does not over-index on framework familiarity at the expense of real deployment experience.

Required Qualifications

· 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.

Preferred Qualifications

· 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.