Remote opportunity at
ToptalAI Engineer - Agentic Systems
Toptal is hiring a remote AI Engineer specializing in Agentic Systems to build, design, and launch production-grade AI agents for enterprise settings. This position focuses on…
Career Tools
About This Role
Toptal is hiring a remote AI Engineer specializing in Agentic Systems to build, design, and launch production-grade AI agents for enterprise settings. This position focuses on multi-agent orchestration, dynamic context management, complex tool execution, and the integration of frontier models alongside cloud infrastructure and robust safety guardrails. Candidates will work with state-of-the-art agent software development kits and multi-model ecosystems to automate mission-critical corporate workflows. The role suits an experienced software…
Job Description
Toptal is hiring a remote AI Engineer specializing in Agentic Systems to build, design, and launch production-grade AI agents for enterprise settings. This position focuses on multi-agent orchestration, dynamic context management, complex tool execution, and the integration of frontier models alongside cloud infrastructure and robust safety guardrails. Candidates will work with state-of-the-art agent software development kits and multi-model ecosystems to automate mission-critical corporate workflows. The role suits an experienced software engineer with a proven background in delivering autonomous agent architectures into live production environments.
This is a remote opportunity based in the United States, with a slight preference given to candidates in the East Coast time zone. Minimal travel is required for the position. Engagement highlights include working with advanced technologies such as the Model Context Protocol, utilizing containerized and serverless platforms on Google Cloud Platform, and enjoying high execution autonomy.
Responsibilities
- Design and launch autonomous and multi-agent orchestration workflows to handle multi-step enterprise processes
- Set up structured tool-use frameworks and connect external services and APIs via protocols like Model Context Protocol
- Develop advanced prompt strategies, memory layers, and dynamic context management to improve model performance and reasoning
- Build production-grade exception handling, latency optimization, schema enforcement, and safety guardrails
- Maintain, scale, and deploy agentic microservices utilizing serverless and containerized cloud platforms
Requirements
- Demonstrated hands-on software engineering experience shipping autonomous agent systems and tool-calling workflows into production
- Proficiency in at least one major model ecosystem such as Anthropic, OpenAI, or GCP Vertex AI
- Experience building and deploying distributed applications on Google Cloud Platform using GKE, Cloud Run, Pub/Sub, and BigQuery
- Strong foundation in microservices architecture, API integrations, structured outputs, and software design patterns
- Based in the United States with a slight preference for the East Coast time zone
Benefits
- Fully remote work arrangement within the United States
- High execution agency and low friction environment
- Opportunity to work directly with frontier technology stacks and multi-model ecosystems
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this position remote?
Yes, this role is remote within the United States, with a slight preference for candidates located in the East Coast time zone.
What travel is required for this role?
The position requires minimal travel.
What technical experience is required?
Candidates must have hands-on experience shipping autonomous agent systems into production, proficiency in major model ecosystems like Anthropic, OpenAI, or GCP Vertex AI, and experience with GCP infrastructure and software design patterns.
What is the salary for this position?
The job posting does not specify the salary for this role.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.