AI Engineer - Agentic Systems
Job Overview
Summary We are seeking a highly hands-on AI Engineer with a proven track record of shipping agentic AI systems into production for enterprise environments.
In this role, you will design, build, and deploy production-grade AI agents capable of multi-agent orchestration, complex tool execution, and dynamic context management.
Job Description
You will implement robust safety guardrails and integrate frontier models using leading agent frameworks and cloud infrastructure. This position is remote within the US (East Coast time zone slightly preferred) with minimal travel required.
Implement structured tool-use frameworks and integrate external APIs and services using protocols such as Model Context Protocol (MCP).
Implement production-grade guardrails, schema enforcement, latency optimization, and defensive exception handling across all agentic workflows.
Deploy, scale, and maintain agentic microservices on cloud infrastructure using modern containerized and serverless platforms.
Framework & Model SDK Expertise: Strong proficiency in at least one major model ecosystem: Anthropic (Claude Agent SDK, Model Context Protocol), OpenAI (OpenAI Agents SDK, Responses API, File Search), or GCP Vertex AI (Gemini, Google ADK / Vertex AI Agent Engine).
Key Responsibilities
- In this role, you will design, build, and deploy production-grade AI agents capable of multi-agent orchestration, complex tool execution, and dynamic context management.
- You will implement robust safety guardrails and integrate frontier models using leading agent frameworks and cloud infrastructure.
- Tasks and Deliverables Design and deploy autonomous and multi-agent orchestration workflows capable of executing complex, multi-step enterprise processes.
- Engineer advanced prompt strategies, dynamic context management, and memory layers to optimize model performance and reasoning accuracy.
- Required Experience Production Agent Experience: Demonstrated, hands-on software engineering experience building, testing, and shipping autonomous agent systems and tool-calling workflows into production environments.
- Cloud Infrastructure (GCP): Experience building and deploying distributed applications on Google Cloud Platform, using services such as GKE, Cloud Run, Pub/Sub, and BigQuery.
- Engagement Highlights Enterprise Production Scale: Move beyond proof-of-concept builds to deploy actual, living agent systems that automate mission-critical enterprise processes.
Required Skills and Qualifications
- This position is remote within the US (East Coast time zone slightly preferred) with minimal travel required.
- Required Experience Production Agent Experience: Demonstrated, hands-on software engineering experience building, testing, and shipping autonomous agent systems and tool-calling workflows into production environments.
- Cloud Infrastructure (GCP): Experience building and deploying distributed applications on Google Cloud Platform, using services such as GKE, Cloud Run, Pub/Sub, and BigQuery.
USA Jobs Today role summary
Role Summary
AI Engineer - Agentic Systems at Toptal is a remote United States position and is listed as Full Time.
Summary We are seeking a highly hands-on AI Engineer with a proven track record of shipping agentic AI systems into production for enterprise environments.
Review the employer's original description and official application page before applying; USA Jobs Today organizes source-supported details for readability without changing stated requirements.
Application Checklist
- Review the stated qualifications, including: This position is remote within the US (East Coast time zone slightly preferred) with minimal travel required. Required Experience Production Agent Experience: Demonstrated, hands-on software engineering experience building, testing, and shipping autonomous agent systems and tool-calling workflows into production environments.
- Confirm that the official application page still lists the role as open.
- Verify the work location and any United States eligibility or work-authorization requirements.
- Tailor your resume to the responsibilities and qualifications stated by Toptal.
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Work Location and Schedule
This role is listed as Remote USA with location information shown as Remote USA. The employment type is Full Time.
About the Company
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