AI Agent Engineer

Job not on LinkedIn

🕒 April 20

🌽 Illinois – Remote

🌽 Illinois – Remote

💵 $125k - $175k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🤖 Artificial Intelligence

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LaunchPad Lab

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤝 B2B

🏢 Enterprise

☁️ SaaS

B2B • Enterprise • SaaS

LaunchPad Lab is a technology consulting firm specializing in building high-impact digital products that drive business results. By leveraging expertise in web app development, mobile app development, UX/UI design, and Salesforce development, they offer transformative digital solutions tailored to align with their clients' strategic goals. LaunchPad Lab positions itself as a strategic digital partner, focusing on collaboration to tackle unique business challenges and opportunities. Their services include AI automation and cutting-edge technological strategies to enhance product delivery and business growth.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Health Insurance (company pays 100% of employee PPO premium) • Dental Insurance (company pays 100% of employee premium) • Vision Insurance (company pays 100% of premium) • 401(k) with up to 4% company match • $1,000 annual conference budget • Flexible work and vacation schedule