Principal Engineer, AI Platform

Job Role: Full Stack Principal Engineer, AI Platform Office Location: Andheri East, Mumbai Ph.D Required About Accrete Accrete is an agentic managed services company: an AI workforce that does high-stakes, judgement-heavy work for government and enterprise clients — at the economics of software, not labor. At the core is Accrete’s Knowledge Engine, a dynamic context graph that captures an organization’s tacit knowledge, resolves data across silos, and builds a living, auditable ground truth. Expert agents reason against that ground truth to act on complex, high-stakes decisions — not just answer questions about them. From national security to commercial operations, Accrete delivers the work on one platform, with unlimited expert agents and expert judgement. About the Role We are seeking a Full Stack Principal Engineer to join our AI Platform team . The ideal candidate will have a PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field and a strong background in designing and building AI-driven systems. You will play a pivotal role in architecting, building, and scaling the platform that powers Accrete's AI products and agentic systems. This is a hands-on technical leadership role . You will work across the full technology stack while driving architectural decisions, solving complex engineering challenges, and shaping the technical direction of the AI Platform. You will collaborate closely with software engineers, ML engineers, data scientists, and product teams to turn advanced AI capabilities into reliable, scalable, and production-ready systems. What You'll Do Architecture & Technical Leadership Lead the architecture, design, and development of core components of the AI Platform. Drive technical direction across frontend, backend, infrastructure, and platform services. Design scalable, reliable, secure, and maintainable systems for complex AI agent workloads. Solve complex and ambiguous technical problems and make sound architectural decisions considering scalability, performance, reliability, cost, and time-to-market. Identify architectural bottlenecks and technical risks and proactively drive solutions. Establish engineering best practices across system design, code quality, testing, security, observability, and maintainability. Full-Stack & AI Platform Development Design and build end-to-end features across frontend and backend systems. Develop scalable APIs, services, and core libraries that power AI applications and agents. Build developer-facing tools and intuitive interfaces for interacting with AI models, agents, and data. Design and develop infrastructure for securely running and orchestrating AI agents and AI workloads in production. Integrate AI/ML models, data pipelines, and emerging AI capabilities into production systems. Build modular platform components that can evolve with advances in AI technology. Scalability, Innovation & Collaboration …