Design and build production AI agent systems for clients across industries, from scoping through deployment and iteration.
Lead technical discovery workshops to identify high-value automation opportunities in client workflows.
Select and integrate the right agent frameworks, platforms, and models for each engagement (LangChain, LangGraph, CrewAI, Claude Managed Agents, custom orchestration, and others as the landscape evolves).
Design human-in-the-loop workflows, approval gates, and escalation paths so agent systems operate safely in client environments, especially in regulated or risk-sensitive industries.
Translate complex AI capabilities into clear, actionable recommendations for non-technical stakeholders.
Collaborate with LaunchPad Lab’s engineering and design teams to deliver end-to-end solutions.
Own LaunchPad Lab’s internal agent automation roadmap. Identify processes ripe for agent-driven improvement and build the solutions.
Evaluate new agent frameworks, platforms, and tooling.
Develop reusable agent architectures, prompt libraries, and patterns that accelerate delivery across the consultancy.
Contribute to the AI practice’s positioning, thought leadership, and go-to-market efforts with technical credibility.
Mentor other engineers on AI patterns, tools, and best practices as the practice grows.

2+ years of professional software engineering experience with strong fundamentals.
2+ years of hands-on experience building AI agent systems, including autonomous or semi-autonomous agents deployed in production environments.
Deep working knowledge of agent orchestration frameworks (LangChain, LangGraph, CrewAI, LlamaIndex, Claude Managed Agents, or equivalent). You should have opinions about their tradeoffs.
Experience with agent design patterns including prompt engineering, RAG architectures, tool/function calling, agent memory management, and evaluation frameworks.
Experience with MCP (Model Context Protocol), A2A (Agent-to-Agent Protocol), or other emerging agent interoperability standards.
Demonstrated ability to lead client-facing technical conversations, translate business problems into technical solutions, and present to senior stakeholders.

AI Agent Engineer

Key skills