Senior Backend Software Engineer

2 weeks ago


Imus, Calabarzon, Philippines beBeeBackend Full time $180,000 - $250,000
Overview

Our team is seeking a skilled Backend Developer to play a key role in powering our autonomous AI platform. The ideal candidate will design and implement core backend services that interface with LangGraph-based workflows, manage data access from various sources, and support seamless orchestration between our AI layers and data infrastructure.

Responsibilities
  1. Create high-performance, production-grade backend APIs and services using AWS Lambda, EC2, and RDS.
  2. Integrate structured and unstructured data access layers with LangGraph and LangSmith agents.
  3. Develop architect retrieval pipelines using vector databases to enable semantic search for AI agents.
  4. Coordinate with data engineers to support RAG workflows across a shared data lake.
  5. Design and maintain task routing, memory management, and agent orchestration logic.
  6. Contribute to platform-level observability, metrics, logging, and diagnostics for agentic tasks.
  7. 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 (Python, Node.js).
  • Deep experience with serverless architectures, microservices, and AWS (Lambda, EC2, RDS).
  • Familiarity with LangGraph, LangChain, or equivalent AI orchestration frameworks.
  • Working knowledge of vector databases (Chroma, Pinecone) 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.

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