Senior AI Engineer: Generative & Agentic AI on GCP

Robotic Technologies Automation; Florida; On-site; USD 92,000 - 125,000; Full time

Job summary

Robotic Technologies Automation in Sunrise, Florida, seeks a Senior AI Engineer to build, deploy, and support enterprise Generative AI applications and AI agents on an existing platform. The ideal candidate has strong production experience with Python, FastAPI, LangChain, LangGraph, GCP, and GitHub Actions.

You will collaborate with business users, product teams, architects, and engineers to translate requirements into reliable AI solutions, while existing team members support core architecture

Qualifications

• 10+ years of relevant experience, including at least 2 years developing GenAI/LLM solutions.

Responsibilities

• Develop production backend services and REST APIs using Python and FastAPI.
• Build LLM chains, tool integrations, and stateful agent workflows using LangChain and LangGraph.
• Implement orchestration, state management, and human-in-the-loop workflows.
• Integrate enterprise data sources, business systems, and APIs into GenAI applications.
• Design and refine prompts, evaluate output quality, and improve application performance.
• Deploy and operate AI applications on Google Cloud Platform.
• Build and maintain automated build, test, and deployment pipelines using GitHub Actions.
• Support testing, troubleshooting, monitoring, and production improvements.
• Work directly with stakeholders to clarify requirements, communicate technical decisions, and demonstrate solutions.

Skills

Python

FastAPI

LangChain

LangGraph

GCP

GitHub Actions

Job description

Robotic Technologies Automation in Sunrise, Florida, seeks a Senior AI Engineer to build, deploy, and support enterprise Generative AI applications and AI agents on an existing platform. The ideal candidate has strong production experience with Python, FastAPI, LangChain, LangGraph, GCP, and GitHub Actions.

You will collaborate with business users, product teams, architects, and engineers to translate requirements into reliable AI solutions, while existing team members support core architecture