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Medium — specialized AI+enterprise integration skills but strong brand and metro location increase applicant density.
Medium — core backend and cloud skills transfer, but enterprise integrations and LLM experience raise domain specificity.
High — role requires specific AI, enterprise-integration, backend, and cloud skills with strict technical expectations.
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Design, develop, and deploy production-grade AI applications and integrations on the Cogentiq platform for enterprise customers.
Build reusable connectors, APIs, and platform capabilities based on customer deployment learnings.
Collaborate directly with enterprise customers and internal teams to deliver AI solutions, troubleshoot deployments, and improve platform scalability and reliability.
Proficiency in Python; experience with Java or TypeScript is a plus.
Work Experience Required: Not explicitly mentioned in the JD.
Experience integrating with enterprise applications such as SAP, Salesforce, Workday, ServiceNow, SharePoint, Snowflake, or Databricks.
Experience building cloud-native applications using AWS, Azure, or GCP, including Docker and Kubernetes.
Engineers comfortable working at the intersection of software engineering, AI, enterprise integration, and customer collaboration.
Experience with Large Language Models, Agentic AI frameworks, AI orchestration, and enterprise integration patterns.
Ability to lead architecture discussions, conduct technical workshops, and translate customer requirements into scalable, reusable AI platform solutions.