Senior Backend Engineer building scalable AI services and multi-agent systems in Python. Owns cloud infrastructure with Terraform and optimizes AI model performance, latency, and cost.
200k – 225k/yr
On-site3+ YOEBackend Engineering
About the role
Responsibilities
Design, build, and maintain scalable backend services and APIs for AI-powered features, writing primary production code in Python
Design and implement complex, hierarchical Multi-Agent Systems that perform sophisticated, multi-step tasks
Build robust frameworks to evaluate AI system quality and manage fine-tuning pipelines
Define, deploy, and manage AI infrastructure using Terraform; scale container-based serverless solutions
Analyze tradeoffs between model performance, latency, and cost for managed AI services
Collaborate with frontend engineers and product designers; occasionally work in TypeScript (Node.js) to integrate AI features
Requirements
3–6+ years of backend or full-stack engineering experience with a track record of shipping scalable systems
Deep expertise in Python and its ecosystem for web services and data processing
Strong experience with Infrastructure as Code (Terraform), a major cloud platform (GCP, AWS, or Azure), and deploying containerized applications
Ability to work in a lean, fast-paced R&D environment defining new playbooks for AI-native experiences
Nice-to-Haves
Familiarity with managed AI services (Vertex AI, AWS Bedrock), LLMs, or building advanced AI systems
Experience with model evaluation frameworks (RAGAs, LangSmith, DeepEval) or fine-tuning
Experience with open-source agentic frameworks (LangGraph, CrewAI, Strands)
Background in MLOps, data engineering, or consumer/marketplace/event-driven platforms
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