Senior Agentic AI Engineer

Senior Agentic AI Engineer
Remote — United States
Full-Time
About the Opportunity
Recruits Lab is partnering with a high-growth technology company building a large-scale Agentic AI engineering organization. The team is hiring multiple engineers to design, build, deploy, and improve production AI agents used in complex enterprise environments.
This is a hands-on engineering role for someone who has gone beyond prototypes and has experience shipping reliable AI systems that use tool calling, planning, memory, retrieval, orchestration, evaluation, and observability.
What You’ll Do
Build and deploy production-grade agentic AI systems
Design multi-step workflows involving reasoning, planning, memory, and tool use
Integrate agents with enterprise systems, APIs, databases, and internal platforms
Improve reliability, latency, evaluation, monitoring, and failure recovery
Build RAG and retrieval systems where appropriate
Develop evaluation frameworks for agent quality and task completion
Debug complex LLM and tool-orchestration failures
Collaborate with product and engineering teams to move AI systems from prototype to production
Help establish engineering standards and best practices for agentic systems
What We’re Looking For
Approximately 4–8+ years of software engineering experience
Strong hands-on experience building production AI/ML or LLM-based systems
Proven experience with agentic AI, not just prompt engineering or chatbot development
Strong Python engineering skills
Experience with frameworks such as LangGraph, LangChain, AutoGen, LlamaIndex, or similar
Experience with tool/function calling, agent orchestration, memory, RAG, and structured outputs
Strong understanding of LLM evaluation, observability, reliability, and production monitoring
Experience integrating AI systems with APIs and enterprise applications
Strong software engineering fundamentals, system design, and debugging ability
Especially Valuable
Experience deploying agentic systems in regulated or enterprise environments
Experience with platforms such as Salesforce, ServiceNow, Slack, Jira, SharePoint, or SQL-based systems
Experience with human-in-the-loop workflows
Experience building evaluation harnesses and automated testing for AI agents
Experience improving reliability of multi-agent or multi-step AI systems
Requirements
Must be based in the United States
Must be authorized to work in the U.S. without current or future sponsorship
Full-time employment only
Strong professional English communication skills
Significant hands-on engineering experience required
Ideal Background
You’ve personally built AI systems that do more than answer questions. You’ve shipped agents that take actions, interact with tools, manage state, recover from failures, and operate reliably in real production environments.
This is not a prompt-engineering-only role. Production engineering depth is essential.

Work arrangement
Yes