Remote AI Engineer: Production Agent Orchestration & Search

G2i Inc.; United States; Remote; USD 170,000 - 230,000; Full time

Job summary

G2i Inc. is seeking an AI Engineer to build and operate production agent systems, focusing on orchestration, search, retrieval, and evaluation.

You will develop backend systems enabling agents to use tools, retrieve information, maintain state, and complete workflows reliably. The role requires hands-on experience with LLM agents, strong backend fundamentals, and ability to drive system improvements from implementation through production.

Qualifications

• Hands-on experience building, deploying, and operating LLM agent systems used in production.
• Strong backend engineering fundamentals, with TypeScript experience or proficiency in an equivalent backend language.
• Experience designing agent orchestration or harnesses, including execution control, state management, and tool use.
• Experience with asynchronous processing and reliable workflows.

Responsibilities

• Build and improve production LLM agents and the orchestration layer that controls their execution.
• Design tool-calling systems, including tool interfaces, validation, error handling, and recovery.
• Develop retrieval pipelines combining structured filters, keyword search, embeddings, and reranking.
• Build repeatable evaluations and experiments to measure agent behavior, retrieval quality, and regressions.
• Implement durable, asynchronous workflows that handle retries, interruptions, and long-running tasks.
• Investigate production failures and improve reliability, latency, cost, and observability.
• Apply strong backend engineering practices to AI features used in real recruiting workflows.

Skills

LLM agent systems (production)

Backend engineering fundamentals

TypeScript experience

Job description

G2i Inc. is seeking an AI Engineer to build and operate production agent systems, focusing on orchestration, search, retrieval, and evaluation.

You will develop backend systems enabling agents to use tools, retrieve information, maintain state, and complete workflows reliably. The role requires hands-on experience with LLM agents, strong backend fundamentals, and ability to drive system improvements from implementation through production.