Back
Medium — niche FDE AI role with specialized enterprise integration skills, metro locations, and a recognized analytics employer.
High — requires specialized enterprise AI, LLM and integration experience, reducing cross-industry transferability.
High — multiple mandatory technical skills (LLMs, enterprise integrations, cloud, MCP) and senior leadership expectations.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, build, and deploy production-grade AI applications and integrations on the Cogentiq platform for complex enterprise environments.
Collaborate directly with enterprise customers and internal teams to translate business challenges into scalable, secure AI-powered solutions.
Develop reusable platform capabilities, connectors, SDKs, and ensure reliability and security across deployments.
Strong software engineering skills with proficiency in Python; experience with Java or TypeScript is a plus.
Hands-on experience building AI applications using LLMs, agentic AI, prompt engineering, and AI evaluation.
Experience integrating enterprise systems (e.g., SAP, Salesforce, Workday) with knowledge of enterprise integration patterns and API security (OAuth, JWT, SAML).
Experience developing cloud-native applications using AWS/Azure/GCP, Docker, Kubernetes, and CI/CD pipelines. Work Experience Required: Not explicitly mentioned in the JD.
Engineer comfortable managing end-to-end customer-facing AI solution development including architecture, coding, and deployment in enterprise settings.
Experience with advanced AI orchestration frameworks and protocols like Model Context Protocol (MCP) is highly desirable.
Able to operate in fast-paced, ambiguous environments, translating customer needs into reusable platform enhancements.