AI Engineer - Agentic Systems

Jobverse.io; Austin (MN); On-site; USD 120,000 - 170,000; Full time

Job summary

HR Pundits Inc. is seeking an AI Engineer to design, build, and operate agentic AI systems in production environments.

You will develop production-ready agent workflows and multi-agent orchestration that integrate with enterprise systems. You will implement multi-agent roles, handle state, retries, and failure paths, and expose tools to agents via function-calling and Model Context Protocol servers, wrapping internal APIs safely.

Qualifications

• Experience building production-grade AI agents and workflows.
• Familiarity with large language model tooling and multi-agent frameworks.
• Ability to design safe, scalable agent capabilities and tool integrations.
• Strong problem-solving and collaboration skills.

Responsibilities

• Build and ship LLM-powered agents that plan, call tools, and complete multi-step tasks.
• Develop multi-agent workflows including planner, executor, reviewer, and specialist roles.
• Expose tools to agents via function-calling and MCP servers, wrapping internal APIs and enterprise systems as safe capabilities.
• Design state handling, retries, and graceful failure paths for agent orchestration.

Skills

LLM-powered agents

LangChain

LangGraph

Tools

LangChain

LangGraph

Orchestration frameworks

Job description

HR Pundits Inc is hiring an AI Engineer to design, build, and operate agentic AI systems. The role focuses on developing production-ready agent workflows, multi-agent orchestration, and tools that connect agents with enterprise systems.

Responsibilities

• Build and ship LLM-powered agents that plan, call tools, and complete multi-step tasks using frameworks such as LangChain, LangGraph, or equivalent orchestration libraries
• Implement multi-agent workflows — planner, executor, reviewer, and specialist roles — including state handling, hand-off logic, retries, and graceful failure paths
• Design and expose tools to agents via function-calling and Model Context Protocol (MCP) servers, wrapping internal APIs, databases, and enterprise systems as safe, well-scoped agent capabilities