Backend Developer

Description

We’re building a platform of autonomous AI agents for data collection, labeling, and intelligent analysis — and we’re looking for a Senior Backend Engineer to power this system. You will architect and implement core services that interface with LangGraph-based workflows, manage data access from structured and unstructured sources, and support seamless orchestration between our AI layers and data infrastructure. The ideal candidate is comfortable working with AWS Bedrock, vector databases, and building APIs optimized for AI-scale interaction.

Responsibilities

• Build 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 (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.

About ActiveFence

ActiveFence is the leading provider of security and safety solutions for online experiences, 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, ActiveFence empowers 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. Powered by deep threat intelligence, unmatched harmful-content detection, and coverage of 117+ languages, ActiveFence enables organizations to deliver engaging and trustworthy experiences at global scale while operating safely and responsibly across all threat landscapes.