[Hiring] AI Engineer @G2i Inc.

Role Description

Our client is looking for an AI Engineer to build and operate production agent systems, with a focus on agent orchestration, search, retrieval, and evaluation.

• Develop the backend systems that allow agents to use tools, retrieve relevant information, maintain state, and complete workflows reliably.
• Comfortable taking systems from implementation through production operation and using repeatable evaluations to determine whether changes actually improve results.

What you’ll do:

• 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.

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.
• Practical experience designing agent orchestration or harnesses, including execution control, state management, and tool use.
• Experience with RAG or search systems and an understanding of how filtering, keyword retrieval, embeddings, and reranking work together.
• Experience building repeatable evaluations, comparing approaches, and identifying meaningful improvements.
• Experience with asynchronous processing and reliable workflows.
• Ability to explain architectural decisions, production failures, and the trade-offs behind your solutions.

Nice to have

• Experience in healthcare, staffing, recruiting technology, or related workflows.
• Staff-level technical ownership across architecture, delivery, and production operation.
• Experience improving both retrieval quality and downstream agent task completion.

Interview process

• Resume review
• G2i video screen for external applicants
• Direct technical fit review by Fetch
• Interviews focused on production agent systems, orchestration, tooling, and evaluation.

Target start

Before December.