Explicitly focused on agentic AI and agent SDKs (MCP, Anthropic/OpenAI/Vertex), so it's about building and iterating on agent systems with frontier models.
About the Role
Hands-on AI Engineer to design, build, and deploy production-grade agentic AI systems for enterprise, focusing on multi-agent orchestration, tool integration, and robust safety guardrails. Fully remote within the US (East Coast time zone preferred) with minimal travel.
Job Description
Role
We are seeking a highly hands-on AI Engineer to design, build, and deploy production-grade agentic AI systems for enterprise environments. The role focuses on multi-agent orchestration, complex tool execution, dynamic context and memory management, and implementing production-grade safety guardrails.
Key Responsibilities
- Design and deploy autonomous and multi-agent orchestration workflows to execute complex, multi-step enterprise processes.
- Implement structured tool-use frameworks and integrate external APIs and services using protocols such as the 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 agentic workflows.
- Deploy, scale, and maintain agentic microservices on cloud infrastructure using containerized and serverless platforms.
Requirements
- Demonstrated, hands-on experience building, testing, and shipping autonomous agent systems and tool-calling workflows into production.
- Strong proficiency in at least one major model ecosystem (Anthropic, OpenAI, or GCP Vertex AI) and related agent SDKs and protocols.
- Experience building and deploying distributed applications on Google Cloud Platform (GKE, Cloud Run, Pub/Sub, BigQuery).
- Solid software engineering foundations: software design patterns, API integrations, structured outputs (Pydantic/JSON schemas), and microservices architecture.
Tech & Tools (explicitly mentioned)
Anthropic (Claude Agent SDK, Model Context Protocol), OpenAI (OpenAI Agents SDK, Responses API, File Search), GCP Vertex AI (Gemini, Google ADK / Vertex AI Agent Engine), GKE, Cloud Run, Pub/Sub, BigQuery, Pydantic, JSON schemas, containerized and serverless platforms.
Location & Work Model
- Remote within the United States (East Coast time zone slightly preferred). Minimal travel required.
- Fully remote US-based role with high execution autonomy.
Engagement Highlights
- Ship enterprise-scale, production agent systems beyond proof-of-concept.
- Work directly with state-of-the-art agent SDKs, Model Context Protocol, and multi-model ecosystems across Anthropic, OpenAI, and GCP.