Software Application Development Engineer
HybridBengaluru, Karnataka, India
Job Summary
Design, develop, and maintain full-stack applications enabling AI-driven self-help, self-heal, and autonomous operations capabilities. Implement AI-powered remediation workflows, agentic AI solutions, and Model Context Protocol integrations across enterprise systems. Integrate AI/LLM services and workflow orchestration engines to enable autonomous detection, diagnosis, remediation, and recovery. Build scalable backend services, APIs, and microservices supporting intelligent orchestration platforms, while developing front-end dashboards for workflow monitoring. Collaborate with cross-functional teams to onboard new automation use cases and ensure the reliability, security, and observability of AI services. Participate in architecture reviews, code reviews, testing, and production support activities. This role drives continuous improvement of autonomous operations and AI-powered employee support experiences within Intel's IT infrastructure team.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Information Technology, Software Engineering, or a related field
- 5+ years of experience in Full Stack Software Development
- Strong proficiency in Python, JavaScript/TypeScript or similar programming technologies
- Hands-on experience developing modern web applications using React, Angular, or comparable front-end frameworks
- Experience designing and developing RESTful APIs, microservices, and enterprise integration solutions
- Strong knowledge of cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform
- Experience with automation frameworks, workflow orchestration, and scripting technologies
- Strong understanding of databases, including SQL and NoSQL platforms
- Experience with DevOps practices, CI/CD pipelines, source control management, monitoring, and production deployments
- Good understanding of enterprise application architecture, system integration, security, and operational support models
- Excellent problem-solving, troubleshooting, and analytical skills
Desired Qualifications
- Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, or AI orchestration frameworks
- Knowledge of Model Context Protocol (MCP) architecture and enterprise integrations
- Experience building AI-powered automation, self-healing, or autonomous operations solutions
- Familiarity with ServiceNow, ITSM platforms, and enterprise workflow automation
- Experience with containerization and cloud-native technologies such as Docker and Kubernetes
- Knowledge of observability, telemetry, operational analytics, and AIOps platforms
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