Mastering High-Performance API Development

1 day ago

Cebu City, Central Visayas, Philippines beBeeBackendDeveloper Full time ₱1,200,000 - ₱1,500,000
Senior Backend Engineer Position

We are seeking a seasoned Senior Backend Engineer to spearhead the development of our autonomous AI system. As a key member of our team, you will be responsible for designing and implementing core services that interface with LangGraph-based workflows, manage data access from structured and unstructured sources, and ensure seamless orchestration between our AI layers and data infrastructure.

Key Responsibilities
  • Design and develop performant, production-grade backend APIs and services using AWS Lambda, EC2, and RDS.
  • Integrate structured and unstructured data access layers with LangGraph and LangSmith agents.
  • Architect retrieval pipelines using vector databases to enable semantic search for AI agents.
  • Coordinate with data engineers to support RAG workflows across a shared data lake.
  • Develop and maintain task routing, memory management, and agent orchestration logic.
  • Contribute to platform-level observability, metrics, logging, and diagnostics for agentic tasks.
  • Deploy and manage MCP servers to wrap scraping, proxy, and JS-rendering tooling as standardized Model Context Protocol (MCP) services.
Requirements
  • 4+ years of backend development experience with strong programming skills in Python and Node.js.
  • Deep experience with serverless architectures, microservices, and AWS including Lambda, EC2, and RDS.
  • Familiarity with LangGraph, LangChain, or equivalent AI orchestration frameworks.
  • Working knowledge of vector databases and semantic search.
  • Solid database and API design expertise particularly with PostgreSQL.
  • Experience building scalable, low-latency backend systems for AI or data platforms.
Preferred Qualifications
  • Experience with agentic AI systems or orchestration of multi-agent workflows.
  • Understanding of RAG patterns in production.
  • Comfortable with Databricks and Unity Catalog data integration strategies.
  • Exposure to AWS Bedrock and large model orchestration in cloud-native environments.

About us: We are a leading provider of security and safety solutions safeguarding more than 3 billion users top foundation models and the world's largest enterprises and tech platforms every day.

As a trusted ally to major technology firms and Fortune 500 brands that build user-generated and GenAI products we empower security AI and policy teams with low-latency Real-Time Guardrails and a continuous Red Teaming program that pressure-tests systems with adversarial prompts and emerging threat techniques.

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