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Hire a AI Automation Engineer
Automate the unscalable. Custom GPT agents, LLM integrations, and intelligent systems that streamline operations and cut costs by 10x.
Job Description
AI is no longer just a tool—it's infrastructure. Marco's AI Automation Engineers are trained to build GPT agents, integrate LLMs with your tech stack, and ship internal tools that automate everything from content creation to customer onboarding. Ideal for teams who want to go beyond simple prompts and build intelligent, connected systems that run at scale.
What does an AI automation engineer do? They design, develop, and deploy AI-powered automation systems using frameworks like LangChain, CrewAI, and custom GPT APIs. Day-to-day work includes building multi-step prompt chains, connecting AI tools to CRMs and databases via API, and creating internal copilots that eliminate repetitive tasks. A remote AI automation engineer typically costs $2,000–$2,500/month through Marco—compared to $9,500/month for a U.S.-based equivalent—making it one of the highest-ROI hires for companies investing in AI infrastructure.
Tasks
- Build and deploy GPT-powered agents and tools
- Write and chain prompts using frameworks like LangChain or CrewAI
- Integrate LLMs with CRMs, databases, and SaaS tools via API
- Implement automation using Python, JavaScript, or low-code platforms
- Monitor agent behavior, accuracy, and performance
- Collaborate with product, ops, and marketing to scope use cases
- Stay updated on the latest in open-source LLM tools and frameworks
- Document systems for long-term maintenance and scaling
Qualifications
- 3–6 years in software engineering or automation
- Proficient in Python, JavaScript, or relevant scripting languages
- Experience with LLM frameworks (LangChain, Semantic Kernel, etc.)
- Strong understanding of API integrations and system design
- Comfortable working independently to scope and ship solutions
- Bonus: Experience with GPT-4, Claude, and open-source LLMs
