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# AI Engineer--Remote--H1B and USC

- **Company:** Usc, Inc.
- **Location:** United States (Remote available)
- **Contract:** Contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Application Integration Architecture, User Authentication, BigQuery, Cloud Storage, Code Generation, Computer Programming, Continuous Integration, D3.Js, Data Visualization, Software Design Patterns, Github, Monitoring of Systems, Identity and Access Management, Python (Programming Language), PostgreSQL, Automation of Marketing, MySQL, OAuth, Octopus Deploy, Query Optimization, Role-Based Access Control, OpenAI, JSON Web Token, Salesforce.Com, Software Engineering, SQLAlchemy, TypeScript, Smartsheet, Google Cloud, Enterprise Software Applications, Okta, GitHub Copilot, ReactJS, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Generative AI, AI Coding Agents, Backend, Langfuse — LLM Observability and Analytics Platform, Agentic-AI, Git, Fastapi, Salesforce Sales Cloud, Adobe, AI Platforms, Few-Shot Learning, LangSmith, Kubernetes, Google Cloud Functions, React Redux, Google Gemini, Docker
- **Published:** October 22, 2026
- **Apply:** https://www.dice.com/job-detail/57858c41-9bdc-491b-ac87-ae66ffe3d55b

## About the Role

* Experience with AI Coding Assistants like GitHub Copilot and Windsurf.
 * Proficiency in Generative AI Application Development and Design Patterns.
 * Experience with GenAI cloud platforms such as Google Cloud Vertex AI, Gemini, and OpenAI.
 * Knowledge in LLM Observability and Tracing using tools like LangFuse or LangSmith.
 * Expertise in Prompt Engineering techniques including chain-of-thought, few-shot learning, and structured outputs.
 * Proficiency in Python, FastAPI, async programming, Pydantic, SQLAlchemy ORM.
 * Experience with React, TypeScript, Zustand state management, Material-UI (MUI), and data visualization libraries such as D3.js.
 * Experience with MySQL/PostgreSQL databases, query optimization, and Alembic migrations.
 * Familiarity with Git, CI/CD, GitHub Actions, ArgoCD, Docker, and docker-compose.
 * Experience with Google Cloud Platform, particularly Vertex AI, Cloud Run, BigQuery, Cloud Storage, and IAM.
 * Knowledge of Authentication and Authorization including OAuth 2.0, Okta, JWT, and RBAC.
 * Experience with Kubernetes and container orchestration.

## Description

We are seeking a highly skilled AI Engineer to design, develop, and maintain an enterprise platform for AI agents within a Google Cloud environment. This role will involve integrating AI agents with enterprise applications and developing agent capabilities within Salesforce, leveraging advanced technologies and frameworks., * Design, develop, and maintain an enterprise platform for building, deploying, and supporting AI agents within a Google Cloud environment.

 * Develop and implement AI agents that support business and marketing workflows, including campaign management, budgeting, advertising spend, reporting, and brand performance.
 * Integrate AI agents with enterprise applications and data sources including Salesforce, Sigma, Adobe, Smartsheet, and other marketing platforms.
 * Develop agent capabilities within Salesforce and the existing brand portal environment, leveraging Salesforce Sales Cloud, Lightning Web Components (LWC), APIs, and existing integrations.
 * Build and maintain agentic AI workflows using Generative AI technologies, including LLM orchestration, prompt engineering, RAG, tool/API calling, structured outputs, and multi-step agent workflows.
 * Leverage Google Cloud and Vertex AI services to develop, deploy, and support enterprise AI applications and agent capabilities.
 * Use AI coding assistants to accelerate software development, while reviewing, validating, troubleshooting, and improving AI-generated code to ensure quality and accuracy.
 * Develop and support backend services and APIs using Python and technologies such as FastAPI to enable communication between AI agents, enterprise applications, and business data sources.
 * Evaluate and troubleshoot agent behavior, application integrations, and production issues across the AI platform and connected enterprise systems.
 * Implement monitoring and observability for AI applications, including agent performance, traces, errors, token usage, system performance, and cost.
 * Collaborate with product teams, architects, solution engineers, and business stakeholders to translate marketing and brand requirements into scalable agentic AI solutions.
 * Support the deployment, ongoing maintenance, optimization, and operational readiness of AI agents and the underlying agent platform.
 * Provide technical guidance on agent development, AI-assisted software development, integration patterns, and GenAI development best practices.