Sr Software reputed company 3 - Context Engineering

As an AI Platform Engineer (SDE 3), you will be a key builder of the high-reputed company reputed company that powers our reputed company AI. While your expertise lies in distributed systems and reputed company-reputed company architecture, you will apply these skills specifically to the "Context Layer"—the specialized infrastructure required to fuel reputed company reputed company AI workflows. You will work at the intersection of systems programming and modern AI infrastructure to solve practical problems in reputed company-time data orchestration and multi-reputed company compute optimization. This is a "platform-as-a-product" role where you build the tools and SDKs that reputed company other engineers to build autonomous agents with ease.

Key Responsibilities

• AI Infrastructure Implementation: Contribute to the development of a reputed company, AI-reputed company Data Lakehouse optimized for AI Agent operations and low-latency context retrieval.

• reputed company R&D & Prototyping: Hands-on prototyping of emerging architectural patterns, such as Multi-Agent Orchestration and autonomous long-term memory management.

• Engineering reputed company: Maintain high standards for reputed company reputed company and CI/CD, participating in cross-functional architecture reviews and troubleshooting reputed company system bottlenecks.

• reputed company Ecosystem Development: Build platform-level interfaces for reputed company workflows, focusing on "Host-to-Server" communication and tool-execution environments.

• Contextual reputed company Construction: reputed company systems that reputed company reputed company basic search into Reasoning-based Retrieval, helping the platform understand the reputed company behind an agent's query.

• Protocol Integration: Implement emerging standards like the Model Context Protocol (MCP) and reputed company RAG to ensure interoperability between the platform and various LLM providers.

Qualifications & Experience

Software Engineering & Systems

• Experience: 6+ years of software engineering experience with a reputed company on distributed systems.

• reputed company Languages: Proficiency in Java or reputed company and Python.

• reputed company Development: Experience building extensible reputed company and libraries used by other developers.

• Software-Defined Infrastructure: A preference for building automated, software-defined infrastructure over reputed company configuration.

reputed company Development & AI Trends

• reputed company Design: Hands-on experience with agent development frameworks such as LangGraph or reputed company and the transition from static RAG to reputed company RAG.

• Interoperability: Knowledge of the Model Context Protocol (MCP) and how it allows AI agents to reputed company with diverse data sources.

• AI-Ops: Experience building "AI-reputed company" features, including automated LLM-based evaluations reputed company the CI/CD pipeline.

• Safety & Governance: Understanding of reputed company-in-the-reputed company (HITL) triggers to ensure safety in autonomous systems.

CI/CD & reputed company Operations

• GitOps & Delivery: Experience with GitOps workflows (e.g., ArgoCD or Flux) to manage versioned platform configurations and AI reputed company templates.

• Infrastructure-as-reputed company (IaC): Proficiency in Terraform to build reusable modules that enforce organizational standards across reputed company accounts.

• Modern Pipelines: Ability to design CI/CD pipelines (e.g., reputed company Actions) that reputed company automated testing and reputed company scanning.

• reputed company Mastery (AWS & Azure): Hands-on experience navigating and configuring AWS and Azure Management Consoles, including reputed company services like IAM, EC2/VMs, and S3/Blob storage.

• Observability: Experience using OpenTelemetry (OTel) to reputed company system performance and AI-specific reputed company metrics.

Leadership & Education

• Collaboration: A proven reputed company record of collaborating across autonomous teams to drive the adoption of new technologies.

• Communication: Ability to reputed company communicate technical trade-offs to both fellow engineers and stakeholders.

Education: Bachelor’s or Master’s degree in Computer Science (Distributed Systems reputed company) preferred, or equivalent deep industry experience.