AI Agent Systems Engineer

About Printerpix

Role Overview

• We are seeking an AI Agent Systems Engineer to architect, build, and deploy intelligent autonomous agents capable of executing real operational workflows across our e-commerce ecosystem.
• This is not a basic prompt-engineering role.
• We are looking for engineers with strong software engineering fundamentals who understand how to build reliable, scalable AI systems in production environments.
• You Will Work On Advanced Agent Orchestration Systems Involving
• Tool usage.
• API integrations.
• Workflow automation.
• Memory management.
• Retrieval systems.
• Multi-agent coordination and real-time decision-making.
• The ideal candidate combines strong backend engineering expertise with deep curiosity about modern AI systems and emerging agentic frameworks.

Design And Deploy Ai Agents Capable Of

• Executing multi-step workflows.
• Interacting with internal and third-party APIs.
• Autonomously resolving operational tasks.
• Handling retries and failure recovery and maintaining contextual memory across workflows.

Examples Include

• Order management agents.
• Logistics automation.
• AI customer support systems.
• Internal AI copilots and intelligent operational assistants.

Agent Orchestration & Workflow Systems

• Build scalable orchestration systems using:
• LangGraph.
• CrewAI.
• LangChain.
• State-machine architectures.
• Async processing models and event-driven workflows.

You Should Understand

• Tool routing.
• Agent loops.
• Memory architectures.
• Planning vs execution patterns and multi-agent collaboration systems.

Ai-Powered Marketing Automation

• Develop intelligent systems capable of:
• Monitoring advertising performance.
• Optimizing campaign spend.
• Adjusting targeting strategies and generating automated performance insights using real-time data.

Personalization & Recommendation Systems

• Implement AI pipelines that:
• Analyze customer behavior.
• Reason over transactional and event data and generate personalized product and gifting recommendations.
• AI Infrastructure & Reliability.

Contribute To

• Evaluation pipelines.
• Observability and monitoring.
• Prompt/version management.
• Hallucination mitigation.
• Guardrails.
• Logging/tracing systems.
• Latency optimization and production reliability engineering.

Strong Proficiency In

• Python.
• REST APIs.
• Asynchronous programming.
• System design.
• Debugging and troubleshooting.
• Git/GitHub workflows.
• Backend architecture principles.
• Candidates without strong engineering fundamentals will not be considered.