AI Agent Engineer (Remote)

Hire Feed; India; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Hire Feed is seeking an Agent Engineer to build and operate LLM agents in production, ensuring visibility into usage and accountability for reliability across systems. You will ship agent systems that real users depend on and design evaluation methods to measure performance changes.

You will develop and maintain long-running workflows, monitor adoption dynamics, and build internal infrastructure for agent memory and tooling surfaces, collaborating with internal teams to optimize costs and

Qualifications

• Experience designing agent systems with real-world reliability requirements.
• Familiarity with agent evaluation frameworks and performance tracking.
• Knowledge of long-running agent execution, including scheduled tasks.
• Understanding of internal tool adoption dynamics and user behavior patterns.
• Ability to debug and troubleshoot complex distributed agent architectures.
• Proficiency with agent tooling surfaces and interoperability standards.
• Experience integrating agents with company data and internal systems.
• Background in monitoring agent costs and resource utilization.

Responsibilities

• Ship agent systems that real users depend on and resolve issues when they fail.
• Design and implement evaluation methods to measure agent performance improvements or degradations.
• Develop and maintain long-running agent workflows, including scheduled jobs and cloud sandboxes.
• Observe internal user adoption of agent tools and identify barriers to widespread use.
• Build and maintain internal infrastructure for agent memory, reusable skills, and tooling surfaces.

Skills

Agent reliability design

Agent evaluation frameworks

Long-running agent execution

Internal tool adoption

Debug distributed architectures

Agent tooling surfaces

Agent data integration

Cost and resource monitoring

Job description

We are hiring for one of our clients, seeking an Agent Engineer to build and operate LLM agents in production. The role requires visibility into how agents are actually used within a company and accountability for their reliability.

Key Responsibilities:

• Ship agent systems that real users depend on and resolve issues when they fail.


• Design and implement evaluation methods to measure agent performance improvements or degradations.


• Develop and maintain long-running agent workflows, including scheduled jobs and cloud sandboxes.


• Observe internal user adoption of agent tools and identify barriers to widespread use.


• Build and maintain internal infrastructure for agent memory, reusable skills, and tooling surfaces.

Required Skills & Qualifications:

• Experience designing agent systems with real-world reliability requirements.


• Familiarity with agent evaluation frameworks and performance tracking.


• Knowledge of long-running agent execution, including scheduled and persistent tasks.


• Understanding of internal tool adoption dynamics and user behavior patterns.


• Ability to debug and troubleshoot complex distributed agent architectures.


• Proficiency with agent tooling surfaces and interoperability standards.


• Experience integrating agents with company data and internal systems.


• Background in monitoring agent costs and resource utilization.

More About the Opportunity:

This role offers the chance to work on foundational agent infrastructure that powers internal tools across an organization. Candidates will contribute to shaping how teams interact with AI systems in production environments.

Equal Opportunity Employer:

We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.