Principal Specialist - AI Application Full Stack
RTX Corporation22 hours ago
Bengaluru, IndiaStaff+
Responsibilities
- Design and develop production-quality full-stack AI applications using modern frontend and backend technologies.
- Build conversational AI, generative AI, intelligent workflow, and agentic application experiences with streaming responses, citations, evidence, and AI-generated artifacts.
- Develop backend services, backend-for-frontend APIs, asynchronous workflows, application state, and enterprise integrations.
- Build human-in-the-loop controls for reviewing, approving, modifying, rejecting, pausing, resuming, canceling, and overriding AI or agent actions.
- Design interfaces that communicate agent activity, progress, tool execution, uncertainty, partial completion, errors, retries, and recovery.
- Integrate applications with enterprise AI services, agent runtimes, platform APIs, identity services, enterprise applications, and data sources.
- Develop reusable components and patterns while maintaining accessibility, performance, security, automated testing, and maintainability.
- Partner with AI Product Design, Applied AI, Platform Engineering, and product teams from prototyping through production deployment and continuous improvement.
Requirements
- Bachelor’s degree in Computer Science or Software Engineering, or an advanced degree with equivalent relevant experience.
- At least 5 years of relevant professional experience, or at least 3 years with an advanced degree.
- At least 3 years of hands-on full-stack software development experience building production web applications and backend APIs or services.
- Strong experience with JavaScript or TypeScript and a modern frontend framework such as React, Next.js, Angular, or Vue.
- Backend development experience with Python, Node.js, Java, .NET, or similar technologies, including building and consuming APIs and services.
- Experience with application architecture, authentication and authorization, state management, asynchronous processing, databases, API integration, and enterprise application integration.
- Strong software engineering fundamentals including source control, code reviews, automated testing, debugging, performance optimization, security, and maintainable code.
- Hands-on experience integrating generative AI, LLM APIs, AI services, or other AI-enabled capabilities into software applications.
- Experience delivering features or applications from design through development, testing, deployment, and production support.
- Preferred experience includes production conversational AI, generative AI, agentic applications, streaming interfaces, long-running workflows, structured model outputs, tool calls, retrieval results, citations, RAG, agent state, and AI-native application patterns.
- Preferred experience includes human-in-the-loop approvals, workflow applications, developer tools, technical consoles, enterprise products, LLMs, agents, context, memory, evaluation, guardrails, AI observability, MCP, cloud services, Kubernetes, design systems, accessibility, telemetry, performance monitoring, and AI-assisted coding tools.
Benefits
- Hybrid work arrangement with regular onsite and offsite work in Bengaluru; onsite ratio is determined with the manager.
- Employees are responsible for commuting to and from the assigned site for hybrid roles.
- Opportunity to build enterprise AI products with global AI, product, platform, architecture, and business teams.
Tech Stack
Categories
About RTX Corporation
RTX Corporation builds aerospace and defense systems through its Collins Aerospace, Pratt & Whitney, and Raytheon businesses, serving commercial aviation, the U.S. government, and allied militaries. Its products range from aircraft engines and avionics to radars, missiles, and command-and-control software, sold via long-term OEM programs and defense contracts. Formed in 2020 by the Raytheon–United Technologies merger, RTX is headquartered in Arlington, Virginia and trades on the NYSE as RTX.