AI Automation & Integration Engineer
17h ago
Key details
- Work style
- Remote
- Level
- Senior
- Job type
- Contract
- Experience
- 5–7 yrs
- Function
- Software engineering
- Focus area
- AI / ML
- Posted
- 17h ago
Skills
About the role
We are looking for an AI Automation & Integration Engineer to maintain, optimize, and expand our client's existing automation ecosystem while developing new AI-powered features and intelligent workflows.
The company operates on an interconnected technology stack that includes Trello, a custom-built in-house CRM, Jotform, Zapier, and Make. The initial priority for this role will be to understand how these systems work together, troubleshoot existing integrations, identify inefficiencies, and improve the reliability of workflows supporting healthcare-related business operations.
Beyond maintenance, this person will help build the next generation of internal operations by transforming manual, multi-step business processes into intelligent workflows powered by AI agents and automation. The goal is to develop systems that can execute tasks, coordinate information, interact with external tools, and escalate decisions to humans when necessary, while maintaining appropriate standards for data accuracy, security, and confidentiality in a healthcare environment.
Location: remote, LATAM only
Timezone: Central US Time
About Us:
Abstra is a fast-growing top Latin American tech talent to U.S. companies and beyond. Founded by U.S.-bred engineers with over 15 years of experience, Abstra specializes in sourcing skilled professionals across a wide range of technologies to meet our clients’ needs, driving innovation and efficiency.
Responsibilities
- Maintain, troubleshoot, and optimize automation workflows across Trello, a custom CRM, Jotform, Zapier, Make, and other connected systems.
- Improve workflow reliability, data synchronization, and system performance across the organization's technology ecosystem.
- Design and implement AI-powered automations, agentic workflows, and LLM-based solutions that streamline business operations.
- Build integrations using APIs, webhooks, and secure authentication methods to connect internal and third-party platforms.
- Develop and optimize AI capabilities including prompt engineering, tool calling, RAG strategies, context management, and workflow orchestration.
- Collaborate with stakeholders to identify automation opportunities and deliver scalable, business-impacting solutions.
- Ensure systems meet security, confidentiality, and compliance standards appropriate for a healthcare environment.
- Monitor, test, document, and continuously improve automation and AI solutions.
Required Experience
- 5-7+ years of experience in automation, systems integration, software engineering, or related technical roles.
- 3+ years building and supporting production AI applications, AI agents, or LLM-powered workflows.
- Strong experience with automation platforms such as Zapier, Make, n8n, or similar tools.
- Hands-on experience with REST APIs, webhooks, authentication methods, and third-party integrations.
- Proficiency in Python and working knowledge of JavaScript and/or TypeScript.
- Experience with LLM APIs, prompt engineering, RAG architectures, context engineering, and AI orchestration frameworks such as LangChain or LangGraph.
- Strong understanding of SQL, data modeling, system troubleshooting, testing, and debugging.
- Experience handling confidential or regulated data and applying secure development and access-control practices.
- Healthcare or other regulated-industry experience preferred.
- Fluent English communication skills (C1 level or equivalent), both written and spoken.
What We Offer:
- Competitive compensation paid in USD.
- 20 days of paid time off (PTO) per year.
- Opportunities for professional growth and career development.
- Company-provided equipment.
- A collaborative, inclusive, and multicultural work environment.
- The opportunity to contribute to meaningful projects alongside a talented and supportive team.
Pre-Employment Verification
As part of our standard onboarding process, candidates who successfully complete the interview process and accept an employment offer will be required to complete an employment verification check, and background check. This process will confirm job titles and dates of employment with two previous employers and is a standard requirement for all new employees joining the company.
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