AI Engineer - Agentic Systems

pofft Technology Inc.; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

pofft Technology Inc. is seeking an AI Engineer to design, build, and deploy production-grade agentic systems capable of multi-agent orchestration, tool use, and dynamic context management. The role emphasizes robust safety guardrails and integration with frontier models on modern cloud infrastructure.

The engineer will ship agentic workflows, implement external API integrations, and advance memory and prompt strategies for enterprise-grade AI solutions. Remote US-based role, with minimal travel.

Qualifications

• Hands-on production experience with autonomous agent systems.
• Experience with major model SDKs (Anthropic, OpenAI, or Vertex AI).
• Experience deploying distributed apps on Google Cloud Platform (GKE/Cloud Run).
• Strong knowledge of API integrations and microservices patterns.

Responsibilities

• Design and deploy autonomous agent orchestration workflows.
• Implement tool-use frameworks and external API integration.
• Develop advanced prompt strategies and memory management.
• Apply guardrails, schema enforcement, and error handling in production.
• Deploy and maintain agentic microservices on cloud infrastructure.

Skills

Multi-agent orchestration

Tool integration frameworks

Prompt engineering

Cloud deployment

Microservices architecture

API integrations

Structured outputs (JSON/Pydantic)

Tools

Anthropic Claude Agent SDK

OpenAI Agent SDK

Vertex AI Agent Engine

GKE

Cloud Run

Pub/Sub

BigQuery

Job description

AI Engineer - Agentic Systems USA Only 2 gün 5 saat 20 dakika önce yayınlandı. Full-Time We Work Remotely -

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 in software design patterns, API integrations, structured outputs (Pydantic/JSON schemas), and microservices architecture.

Location: Based in the US (East Coast time zone slightly preferred).

Engagement Highlights

Enterprise Production Scale: Move beyond proof-of-concept builds to deploy actual, living agent systems that automate mission-critical enterprise processes.

Frontier Tech Stack: Work directly with state-of-the-art agent SDKs, Model Context Protocol, and multi-model ecosystems across Anthropic, OpenAI, and GCP.

Remote Autonomy: Enjoy a fully remote US-based role with high execution agency and low friction.