FDE Applied AI

Position Title: FDE Applied AI

Location: San Jose, California (remote)

Pay Rate: $75 - $80/hr

About The AES Group:

For over 20 years, The AES Group has been a trusted technology staffing and services partner to some of the world's most innovative enterprises. We bring businesses and talent together to deliver impactful cloud, data, AI, and digital solutions that transform organizations and create lasting value. At AES, we believe partnerships are the cornerstone of sustainable growth. By forging strategic alliances with IT staffing firms, MSPs, and government prime contractors, we amplify our reach, deliver greater value to clients, and accelerate innovation. Our success is built on collaboration, trust, and a shared commitment to solving complex workforce challenges together.

JOB DESCRIPTION:

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 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 AAI 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 end-user adoption.

MINIMUM QUALIFICATIONS:

Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.

• 5 years of experience with software development using Python or similar coding languages.
• Experience architecting AI systems on cloud platforms (e.g., GCP).
• Experience deploying resources via Terraform or similar tools to automate the setup of agents, functions, or networking.
• Experience building full-stack applications that interact with enterprise IT infrastructures and developing external customer projects.

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Last Updated: May 6th, 2026

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