Forward Deployed Engineer (Applied AI)

RapinnoTech - APAC & USA; United States; On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Travel up to 50%

Job summary

RapinnoTech - APAC & USA is seeking a Forward Deployed Engineer (FDE) in Applied AI. You will be the Agent Engineer, leading technical delivery for Conversational AI pilots and building CUJs at customer sites.

You bring 12+ years in software and ML Ops, strong Python, experience on GCP, Terraform, and full-stack integration with enterprise IT. Travel up to 50% is expected.

Qualifications

• Bachelor’s degree in engineering, Computer Science, or related field.
• 12+ years total experience with at least 5 years in software development (Python or similar).
• Experience architecting AI systems on cloud platforms (GCP).
• Experience deploying resources via Terraform to automate agents, functions, or networking.
• Hands-on with Conversational AI product suites (Gemini CX, CES, CCAI, CCaaS).

Responsibilities

• Lead technical delivery for Conversational AI pilots at customer sites.
• Establish first Customer User Journeys (CUJs) for large accounts.
• Own end-to-end engineering lifecycle from prototype to production.

Skills

Python

Cloud platforms

Terraform

Full-stack development

AI deployment

Distributed systems debugging

Education

Bachelor’s degree in engineering or Computer Science

Tools

Gemini-powered CX

CES

CCAI

CCaaS

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.

Minimum Qualifications:

• Bachelor’s degree in engineering, Computer Science, a related field, or equivalent practical experience.
• Overall 12+ years with at least 5 years of experience with software development using Python or similar coding languages.
• Experience architecture 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.
• Hands-on experience implementing and customizing Google’s Conversational AI product suite, including Conversational Agents (Gemini-powered CX), Customer Engagement Suite (CES), Contact Center AI (CCAI) and Contact Center as a Service (CCaaS).

Preferred skills:

• Master’s or PhD in AI, Computer Science, or a related technical field.
• Experience implementing multi-agent systems using frameworks like ReAct and self-reflection.
• Experience debugging Agent logic and optimizing tool selection, including tracing conversation IDs across microservices to identify and resolve failures in real-time.
• Experience connecting agents to enterprise knowledge bases and optimizing RAG chunking to prevent hallucinations.
• Track record of troubleshooting live, high-traffic systems during critical windows.
• Ability to travel up to 50% of the time.