Live opening · Posted 8 days ago
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Company Description Cruq AI is an AI-native agent platform that delivers powerful automation to transform operations for enterprises and scale-ups. The platform offers a modular architecture and a comprehensive library of pre-built agents across domains such as data entry, customer service, compliance, finance, HR, healthcare, IT, and legal. Its AgentOS enables multi-agent collaboration, flexible deployment, and automation of end-to-end workflows with high accuracy and continuous operation. Cruq AI integrates with existing enterprise systems, provides advanced data handling through database, memory, and retrieval-augmented generation, and supports centralized management of AI-driven workflows. With proven cost reductions and customizable AI solutions, Cruq AI helps organizations accelerate processes, reduce overhead, and maintain a competitive edge through intelligent automation.
Role Description The Senior Software Engineer, Robot Data Infrastructure will design, build, and maintain the data infrastructure that powers Cruq AI’s agent platform and robotic workflows in a full-time remote role. This position will focus on developing scalable back-end services, data pipelines, and APIs that enable reliable data ingestion, storage, retrieval, and processing for multi-agent systems. The engineer will collaborate with cross-functional teams to define data architecture, optimize performance, and ensure robustness, observability, and security across the platform. Daily responsibilities include writing clean, testable code, conducting code reviews, troubleshooting production issues, and improving system reliability and throughput. The role also involves contributing to technical design documents, mentoring other engineers, and driving best practices for software development and data infrastructure.
Qualifications
Strong foundation in Computer Science, including data structures, algorithms, and distributed systems.
Proficiency in Software Development and Programming, with experience building production-grade services and tools.
Hands-on expertise in Back-End Web Development, including APIs, microservices, and data-intensive systems.
Practical experience with Object-Oriented Programming (OOP) and modern software design principles.
Experience designing and operating data infrastructure (e.g., streaming systems, data lakes, ETL pipelines, message queues).
Knowledge of cloud platforms (such as AWS, GCP, or Azure) and containerization/orchestration tools (e.g., Docker, Kubernetes).
Familiarity with relational and NoSQL databases, caching layers, and performance optimization techniques.
Ability to work effectively in a remote, collaborative environment, with strong communication and documentation skills.
Prior experience in AI, ML, or automation platforms is a plus.
Bachelor’s or higher degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
Work arrangement
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