Senior Staff Engineer ( AI )
HybridHyderabad, Telangana, India
Job Summary
Design and build foundational platform capabilities for agentic AI systems, including orchestration, lifecycle management, memory patterns, and runtime policy controls. Establish agent discovery and reuse mechanisms as shared primitives while defining durable architectural patterns for multi-agent coordination and failure handling. Partner with enterprise teams to integrate AI workflows into existing systems and maintain a bird's-eye view of initiatives to reduce fragmentation. Mentor engineers and influence technical direction through hands-on contribution and design leadership. This individual contributor role requires 8+ years of cloud-native systems experience, proficiency in Python or Java, and expertise in LLM integration and public cloud platforms. Based in Hyderabad with a hybrid schedule, this position reports to the Director of Engineering.
Required Qualifications
- 8+ years of experience in designing, building, and operating cloud-native software systems in production environments, with depth in platform, infrastructure, or distributed systems
- Expertise to tradeoffs across scalability, reliability, security, cost, and developer experience
- Experience designing or operating systems that incorporate LLMs or AI models as core components, including managing model interaction, control flow, and failure modes
- Proficiency in Python (and/or Java or Scala) for building backend services, frameworks, or SDKs
- Experience with public cloud platforms (AWS preferred), including compute, networking, storage, and security primitives
- Demonstrated experience owning and evolving shared platform architectures over time, including setting boundaries, managing tradeoffs, and adapting designs as scale and requirements change
- Proven ability to drive architectural alignment across teams through technical influence, design reviews, reference architectures, and hands-on collaboration rather than formal authority
- Exposure to agent frameworks, multi-agent systems, or AI orchestration tools
- Experience designing systems with explicit state management, lifecycle control, and correctness guarantees across asynchronous and long-running workflows
- Experience working with orchestration systems, workflow engines, or event-driven architectures
- Experience with authentication, authorization, and delegated access patterns, including OAuth 2.0 and related standards, as applied to service-to-service and user-mediated workflows
- Experience building internal developer platforms, shared services, or reusable runtime frameworks
- Staying hands-on with emerging AI capabilities and tools that informs system and platform design decisions
- #LI-hybrid based in Hyderabad
- Individual contributor role (Non Managerial)
Desired Qualifications
- Experience with public cloud platforms (AWS preferred), including compute, networking, storage, and security primitives
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