
51 - 200 employees
Founded 2021
🤖 Artificial Intelligence
🤝 B2B
🏢 Enterprise
Artificial Intelligence • B2B • Enterprise
Shuru is a product, AI, and technology consulting firm that partners with businesses to deliver strategic consulting, full-cycle product and custom software development, and curated engineering team extension. Their AI-native engineering teams build scalable AI applications, data engineering and analytics, cloud/DevOps, and API integrations to modernize systems and accelerate product delivery. Shuru operates globally with a remote-first model and emphasizes high ownership, design thinking, and measurable outcomes for enterprise and startup clients.
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51 - 200 employees
Founded 2021
🤖 Artificial Intelligence
🤝 B2B
🏢 Enterprise
Artificial Intelligence • B2B • Enterprise
Shuru is a product, AI, and technology consulting firm that partners with businesses to deliver strategic consulting, full-cycle product and custom software development, and curated engineering team extension. Their AI-native engineering teams build scalable AI applications, data engineering and analytics, cloud/DevOps, and API integrations to modernize systems and accelerate product delivery. Shuru operates globally with a remote-first model and emphasizes high ownership, design thinking, and measurable outcomes for enterprise and startup clients.
• Design and maintain scalable ETL/ELT pipelines and data workflows. • Integrate structured and unstructured data from APIs, databases, and third-party platforms. • Build and manage data warehouses, data lakes, and real-time processing systems. • Ensure data quality, reliability, security, and monitoring. • Prepare data for AI, analytics, and machine-learning use cases. • Gradually contribute to voice-agent workflows, including speech-to-text, text-to-speech, LLM integrations, and conversation analytics. • Collaborate with AI, product, and engineering teams to develop production-ready AI solutions.
• 4+ years of experience in data engineering. • Strong proficiency in Python and SQL. • Experience with ETL/ELT pipelines, data modelling, and workflow orchestration. • Hands-on experience with cloud platforms such as AWS, Azure, or GCP. • Knowledge of tools such as Airflow, Spark, Kafka, Snowflake, BigQuery, or Databricks. • Understanding of APIs, microservices, and real-time data processing. • Strong interest in learning and working with LLMs, voice AI, and agentic workflows within the next six months.
• Work on international projects: Be part of a global team working with clients from across the world. • Remote-first culture: Enjoy the flexibility of a remote workplace, allowing you to work from anywhere. • Regular team outings: Even with remote work, we believe in building strong team bonds through regular social and team-building events. • Collaborative & growth-oriented: Learn from senior engineers, work in a collaborative environment, and grow professionally with opportunities for career development. • Competitive Salary and Benefits
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