Lead AI Engineer with GCP

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

Employment Type:

Contract

Duration: 12 months

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

Final date to receive applications:
August 20, 2026

• 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)

• Experience with agentic frameworks (Gemini, Lang Graph, Lang Chain)
• 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)

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.

• Design, code, and deploy AI-powered IVR and voice bot microservices using Node.js / Type Script on Google Cloud Platform (GCP).
• Develop, test, and optimize prompts, workflows, and multi-agent orchestration strategies utilizing Gemini, Lang Graph, and Lang Chain.
• 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.

• Medical | Dental | Vision | 401(k)

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

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.