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Mid-level metro role with moderate employer brand and specialized iPaaS/LLM requirements reduces applicant density.
Enterprise integration and platform-specific skills limit transferability, though core engineering skills remain somewhat transferable.
Explicit 5+ years plus mandatory iPaaS, LLM integration, and specific tech stacks creates strict filters.
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Design, build, and deploy scalable integration solutions and AI-powered automations across multiple domains to support business growth and operational efficiency.
Develop and maintain AI chatbots and transform business processes by integrating enterprise platforms and data systems using modern iPaaS tools and cloud architectures.
Own and manage multiple integration projects end-to-end, including technical documentation, support processes, and escalation handling to ensure quality and operational stability.
Minimum 5 years experience designing and building enterprise integration solutions, preferably in Sales or Customer Success domains.
Proven experience with AI agents/chatbots integration using LLMs (OpenAI GPT, Google Gemini, Anthropic Claude) and external APIs/databases.
Proficient with Enterprise iPaaS platforms (Celigo, Snaplogic, Boomi, Mulesoft) and APIs (REST, SOAP) plus 2+ years with JSON and XML schema design.
Technical skills: JavaScript, cloud apps (Salesforce, HubSpot, NetSuite, etc.), OAuth 2.0/SAML2/JWT authentication, SQL, Snowflake, AWS S3, Redshift; BS/BA in Information Systems/CS or equivalent experience preferred.
Experienced in end-to-end project ownership with strong business acumen and ability to translate complex technical requirements into scalable integration solutions.
Comfortable working flexibly across time zones with cross-functional stakeholders, demonstrating accountability and a problem-solving orientation.
Skilled in integrating AI-driven workflows with enterprise ecosystems, with a focus on automation in Revenue and Customer Success lifecycles and proficiency in prompt engineering and context management.