AI Engineer - Agentic Systems
Exact salary band and monthly in-hand breakdown will be confirmed during the ATS technical evaluation.
- Target Role:AI Engineer - Agentic Systems
- Employer:Toptal
- Work Mode:REMOTE
- Location:Remote (United States)
- Compensation:Competitive Remote Compensation (Official)
- Experience:2+ Years
- Recruiter SLA:7-Day Truth Teller Guarantee
- Candidate Fee:₹0 (Zero Placement Fee Guarantee)
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About the Role
Headquarters: 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. 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. Tasks and Deliverables Design and deploy autonomous and multi-agent orchestration workflows capable of executing complex, multi-step enterprise processes. Implement structured tool-use frameworks and integrate external APIs and services using protocols such as Model Context Protocol (MCP). Engineer advanced prompt strategies, dynamic context management, and memory layers to optimize model performance and reasoning accuracy. 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. 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. 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). Cloud Infrastructure (GCP): Experience building and deploying distributed applications on Google Cloud Platform, using services such as GKE, Cloud Run, Pub/Sub, and BigQuery. Core Software Engineering: Strong foundation
Requirements & Qualifications
- Strong problem solving foundations, knowledge of modern engineering practices, and interest in technology systems.
Perks & Benefits
- Official mentor support
- verified hiring timeline
- and career progression.
The employer seeks candidates proficient in the following core technologies:
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Verified Direct Application Link
Official position sourced directly from Toptal's verified career portal.
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How do I apply for AI Engineer - Agentic Systems at Toptal?▼
Click "Apply on Official Site" on this page to be routed directly to Toptal's official applicant tracking system (EXTERNAL). RoleNest connects you directly with ₹0 candidate fees and activates automated 7-day follow-up telemetry in your dashboard.
What is the compensation or stipend for this role?▼
The verified package for this role is Competitive Remote Compensation (Official) (REMOTE). RoleNest enforces transparent compensation benchmarking to eliminate guessing before candidates invest time in assessments.
Who is eligible to apply for this opening?▼
Engineers with 2+ years of experience proficient in Software Engineering, Problem Solving, System Architecture are encouraged to apply.
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Truth Teller tracks candidate application timestamps and recruiter response telemetry. If Toptal does not update your application status within 7 business days, RoleNest provides polite, ATS-tailored follow-up email templates and highlights active matching roles to keep your momentum high.
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