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Senior Engineer

India, Hyderabad/Bangalore · Job Posted June 28, 2026
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Job Responsibility

  • Design and develop AI-driven applications using LLMs and advanced reasoning workflows
  • Build and optimize Retrieval-Augmented Generation (RAG) pipelines, embeddings, and vector search systems
  • Implement tool-integrated AI systems that interact with multiple data sources
  • Improve response quality, explainability, and structured outputs from AI systems
  • Work with frameworks such as LangChain, LangGraph, or similar orchestration tools
  • Design and build scalable data pipelines for structured and unstructured data
  • Develop real-time and batch data processing systems
  • Model and optimize data for analytics, forecasting, and AI consumption
  • Ensure data quality, governance, and observability
  • Work with large-scale, time-series, and IoT datasets
  • Define end-to-end architecture for AI and data platforms
  • Build and manage microservices/serverless applications on cloud platforms
  • Ensure scalability, reliability, and performance optimization

Requirements

  • BTech degree in Computer Science or related discipline, MTech degree preferred
  • 6+ years of overall experience architecting, building, and maintaining cost-efficient, scalable cloud and data-driven environments for the organization
  • Agile/Scrum certified professional with experience running sprint ceremonies and managing deliverables
  • Minimum of 1 or 2 years of facilitating Agile ceremonies with strong delivery capabilities
  • Experience interacting with stakeholders and conducting regular meetings to ensure effective project delivery
  • Minimum of 10 years hands-on experience in designing, developing, and deploying complex distributed, serverless, data-intensive, and microservices-based applications
  • Minimum of 5 years hands-on experience implementing distributed applications in a highly virtualized cloud environment (AWS preferred)
  • Minimum of 3 years hands-on experience architecting and developing serverless and event-driven applications across multiple environments
  • Project experience architecting, implementing, and optimizing data platforms, AI-driven systems, and cloud-based services for business teams or consumers
  • Understanding of cloud-native capabilities of one or more providers (AWS, GCP, Azure) and ability to build scalable AI/data solutions leveraging these services
  • Extensive experience migrating from legacy systems and implementing modern cloud-based, data-driven architectures
  • Experience with infrastructure components, distributed systems, data pipelines, middleware, and service-oriented architectures
  • Strong technical and analytical skills with significant experience in software development, data engineering, and AI/ML-based systems
  • Knowledge in architecting, deploying, troubleshooting, and operating highly scalable and intelligent systems
  • customer-facing implementation experience is desirable

What we offer

  • Competitive total rewards package
  • Other benefits and well‑being programs may be included

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