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Lead AI Engineer with GCP

Cleveland

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Indexed description

Job Title: Lead AI Engineer

Location: Cleveland, OH

Work Arrangement: Onsite (5 days/week in office)

Employment Type: Contract

Duration: 12 months

Domain: Financial Services / Contact Center Technology

Pay Rate: $55.00/hr W2 | $66.00/hr C2C

Application Deadline: August 20, 2026


SKILLS REQUIRED

Primary (Must-Have):

• Hands-on development experience in Node.js / TypeScript

• Cloud-native solution design and delivery on Google Cloud Platform (GCP)

• Implementation and integration of LLMs, conversational AI platforms, and agentic AI frameworks

• Experience with IVR, voice bots, and Contact Center Technologies

• Microservices, APIs, and distributed systems architecture

• Hands-on Kubernetes experience (GKE cluster setup and platform operations)


Secondary (Good to Have):

• Experience with agentic frameworks (Gemini, LangGraph, LangChain)

• Experience with Agentic "Vibe Coding" / AI-assisted rapid prototyping tools

• Voice flow design, call routing, containment strategies, and agent escalation

• Enterprise SRE principles, CI/CD pipelines, and Infrastructure as Code (IaC)

• Experience in regulated or financial services environments (PII / PCI compliance)


POSITION OVERVIEW

The Lead AI Engineer will join the Contact Center Technology team as a senior hands-on individual contributor to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions. Reporting to the Contact Center Technology Engineering Director, this role will drive end-to-end technical execution on Google Cloud Platform (GCP) to significantly improve customer self-service containment and agent handoff efficiency.


ROLES & RESPONSIBILITIES

• Design, code, and deploy AI-powered IVR and voice bot microservices using Node.js / TypeScript on Google Cloud Platform (GCP).

• Develop, test, and optimize prompts, workflows, and multi-agent orchestration strategies utilizing Gemini, LangGraph, and LangChain.

• Own end-to-end engineering delivery of complex AI conversational features, ensuring low latency, high availability, and scalability.

• Lead technical architecture reviews, establish engineering best practices, and perform code reviews while contributing heavily to daily development.

• Collaborate with product, voice, and operations teams to integrate contact center technology, call routing, and SRE-driven observability models.


BENEFITS

Medical | Dental | Vision | 401(k)


EEOC Compliance:

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment.


DISCLAIMER

AI Usage Policy: Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.

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