Applied AI Engineer

Company: Arbor TekSystems

Location: Mountain View, CA (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-09-21

About this role

Role: Applied AI Engineer- Forward Deployed Engineer (FDE)

Location: Remote

Job Type: Contract

As a Forward Deployed Engineer (FDE) in Applied AI, you are the "Agent Engineer" and the primary driver for our customers' most critical AI initiatives. You take initial conversational prototypes and transform them into production-ready solutions, owning the end-to-end engineering lifecycle, including the transition from "Art of the Possible" to real-world business value and scalable, secure AI systems.

This is a high-travel, high-impact role focused on leading technical delivery for Conversational AI pilots and establishing the first Customer User Journeys (CUJs) for our largest customers at their sites. This role requires a deep understanding of software engineering, Machine Learning Operations, and cloud infrastructure.

Job Responsibilities:

Serve as the lead developer for complex Conversational AI and CX applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable ROI.

Architect and code conversational flows that are not just functional but optimized for the "connective tissue" between Google's Conversational AI products (Gemini-powered Conversational Agents/CX, Customer Engagement Suite, and Contact Center AI) and customers' live infrastructure, including APIs, legacy data silos, and security perimeters.

Build high-performance evaluation (Eval) pipelines and observability frameworks to optimize complex agentic workloads, focusing on reasoning loops, tool selection, and reducing latency while maintaining production-grade security and networking.

Identify repeatable field patterns and technical "friction points" in Google's AI stack, converting them into reusable modules or product feature requests for Engineering teams.

Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high ...

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