Founding Staff Engineer in भारत

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Founding Staff Engineer based in India (Remote). As a Founding Staff Engineer, you will be the first engineering hire, working directly with the founders and founding product designer to build and launch an innovative AI-powered interactive storytelling platform. You will own the entire product engineering lifecycle, from backend architecture and data infrastructure to the user-facing reading experience. Your mission will be to solve complex challenges in long-term AI memory, character consistency, narrative quality, and contextual reasoning to create immersive experiences that keep users engaged. You will leverage large language models, AI coding agents, and systematic evaluations to rapidly experiment, validate ideas, and deliver production-ready features. In a high-ownership environment with direct access to experienced founders and senior technical advisers, you will shape the engineering culture, technical architecture, and development standards from the ground up. This role offers competitive compensation, significant autonomy, and a clear opportunity to grow into a Head of Engineering position as the business expands. Accountabilities: - End-to-End Product Engineering: Own the design, development, deployment, and ongoing improvement of the entire consumer product, from database architecture and backend services to frontend interfaces and reader-facing experiences. - Production Infrastructure and Reliability: Build and operate the production systems supporting interactive storytelling, including data models, streaming responses, background jobs, concurrency management, payment processing, credit ledgers, deployment pipelines, and observability.

- AI-Powered Storytelling: Design and improve AI-driven experiences that enable users to interact with fictional characters, influence storylines, and maintain coherent narratives across hundreds of conversational turns. - Memory and Context Management: Develop strategies for persistent story memory, contextual retrieval, character-specific knowledge, relationship tracking, and event continuity to ensure that previous interactions meaningfully influence future story developments. - Model Selection and Orchestration: Evaluate and integrate large language models for different tasks, optimizing model selection, orchestration, inference costs, and response latency while maintaining narrative quality. - Evaluation Frameworks and Benchmarking: Build practical benchmarks, test cases, and evaluation systems to measure narrative consistency, character behavior, contextual accuracy, user experience, and potential failure modes. - Experimentation and Iteration: Design experiments before investing in custom infrastructure, test competing approaches quickly, analyze real-world user behavior, and use evidence to guide product and technical decisions. - AI Agent Integration: Use AI coding agents and development tools to accelerate implementation while maintaining control over architecture, code quality, system integrity, and long-term maintainability. - Technical Architecture and Standards: Establish foundational engineering practices, architectural patterns, documentation, and development standards that enable future engineers to contribute effectively as the team grows. - Data Integrity and Production Debugging: Ensure that individual story interactions and system events can be reconstructed and analyzed, making it possible to investigate failures, diagnose unexpected model behavior, and improve reliability. - Product Quality and User Experience: Maintain high standards across performance, responsiveness, typography, interface state, reliability, and narrative immersion to deliver a polished consumer product.