Build and Scale AI Services: Design, build, and maintain scalable backend services and APIs for AI-powered features, writing primary production code in Python.
Architect Multi-Agent Systems: Move beyond standard RAG to design and implement complex, hierarchical Multi-Agent Systems that can perform sophisticated, multi-step tasks.
Implement Evaluation and Fine-Tuning: Build robust frameworks to evaluate the quality of AI systems and manage fine-tuning pipelines to continuously improve model performance.
Own Cloud Infrastructure with IaC: Define, deploy, and manage our AI infrastructure using Terraform. You'll be responsible for scaling our container-based serverless solutions while ensuring reliability and performance.
Optimize for Efficiency: Deeply analyze the tradeoffs between model performance, latency, and cost to make pragmatic, business-aware technical decisions when using managed AI services.
Integrate Across the Stack: Collaborate with our core engineering teams by occasionally working in TypeScript (Node.js) to integrate AI features into our main application.

Requirements

3–6+ years of backend or full-stack engineering experience, with a proven track record of shipping high-quality, scalable systems in fast-paced environments.
Deep expertise in Python and its ecosystem for web services and data processing.
Strong experience with Infrastructure as Code (Terraform), a major cloud platform (e.g., GCP, AWS, Azure), and deploying containerized applications.
A passion for shaping 0→1 products in a lean, fast-paced R&D environment where you'll help define new playbooks for AI-native experiences.
Bonus points for: Pragmatic AI/ML Exposure: Familiarity with managed AI services (e.g., Vertex AI, AWS Bedrock), working with LLMs, or building advanced AI systems is a plus. Experience with model evaluation frameworks (e.g., RAGAs, LangSmith, DeepEval) or fine-tuning is helpful but not required. The ability to think about tradeoffs between cost, latency, and performance is valuable.
Experience with open-source agentic frameworks (e.g., LangGraph, CrewAI, Strands, etc) is a plus.
Experience with MLOps, data engineering, or a background in consumer, marketplace, or event-driven platforms.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonInfrastructure as CodeTerraformTypeScriptNode.jsAI servicesMLOpsdata engineeringmodel evaluation frameworkscontainerized applications

Soft Skills

collaborationproblem-solvingbusiness awarenessadaptabilityinnovation