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AI Engineer--Remote--H1B and USC

CogniSoft TechnologiesUnited States🇺🇸United States

Why this role stands out

Accelerate your career by engineering cutting-edge AI agent platforms within a dynamic Google Cloud environment, offering you the perfect blend of high-impact technical challenges and the freedom of a fully remote work culture. You will thrive in this role if you are a forward-thinking developer passionate about building sophisticated LLM-driven workflows and integrating advanced AI solutions into enterprise ecosystems. This is an exceptional opportunity to sharpen your expertise in Generative AI—apply today to help shape the future of intelligent automation.

Quick overview

SeniorityMid Senior
Work modeRemote
LocationUnited States
DockerFastAPIMySQLGitOAuthArgoCDBigQueryD3.jsGitHub ActionsGoogle CloudJWTLLMPythonZustandGenerative AIReactPostgreSQLKubernetesTypeScriptPrompt EngineeringCI/CDRAGIAMOkta

Job description

AI Engineer - Remote

Job 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.

Responsibilities

  • 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.

Essential Skills

  • 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.

Job 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.

Responsibilities

  • 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.

Essential Skills

  • 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.

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