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Senior, niche FDE role in metro Bangalore with AI skills yields moderate applicant competition.
Requires specialized enterprise integration and AI deployment experience, limiting cross-industry transferability.
Multiple mandatory technical domains required (backend, LLM/AI, enterprise integrations, cloud) increasing filter strictness.
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Design, develop, and deploy production-grade AI applications using the Cogentiq platform for enterprise customers.
Build and maintain integrations with enterprise applications (e.g., SAP, Salesforce, Workday) and develop reusable connectors, APIs, SDKs, and microservices.
Collaborate with customers and internal teams to deliver AI solutions, troubleshoot production deployments, and contribute platform improvements from deployment learnings.
Proficiency in Python; experience with Java or TypeScript is a plus.
Experience building production-grade backend applications, REST APIs, microservices, and distributed systems.
Hands-on experience with AI-powered applications involving LLMs, Agentic AI, RAG, prompt engineering, and AI evaluation techniques.
Experience integrating enterprise applications and platforms (e.g., SAP, Salesforce, Workday, ServiceNow) with understanding of API-first architectures and authentication mechanisms.
Engineer comfortable with both coding production-grade software and engaging directly with enterprise customers to translate business challenges into AI solutions.
Experience working in fast-paced, evolving environments requiring ownership, architecture leadership, and rapid prototyping.
Preference for candidates with knowledge of enterprise cloud-native deployments (AWS, Azure, or GCP) and modern cloud platform engineering tools such as Docker, Kubernetes, and CI/CD.