engineering
Posted Mar 13Senior Software Engineer, Backend (AI)
at Poshenergy
New York City, United StatesOn-site
Responsibilities
- Scale container-based solutions while ensuring reliability and performance.
- - Build Evaluation Pipelines: Create robust frameworks to evaluate AI system quality and continuously improve model performance.
Requirements
- ABOUT THE ROLE We're looking for a Senior Backend Engineer to join our AI Platform team, a small, fast-moving group building the backend infrastructure that powers AI-native product experiences at Posh.
- You'll design, build, and scale the services, APIs, and cloud infrastructure that our AI features run on.
- You'll be building the reliable, performant platform that makes our AI products work in production.
- Your work will include architecting data flows, building evaluation pipelines, deploying containerized services, and integrating AI capabilities into our core product.
- WHAT YOU'LL DO - Design and Scale Backend Services: Build and maintain scalable backend services and APIs that power AI-driven features, writing production code primarily in Java, and Python. - Own Cloud Infrastructure: Define, deploy, and manage AI infrastructure using Terraform on a major cloud platform (AWS).
- - Optimize for Cost, Latency, and Performance: Make pragmatic, business-aware decisions about the tradeoffs between model quality, response time, and infrastructure cost when working with managed AI services.
- - Integrate Across the Stack: Collaborate with core engineering by occasionally working in TypeScript (Node.js) to connect AI features into Posh's main application.
- - Support Agent Architecture: Build the backend systems and data flows that power our multi-step, autonomous AI workflows, ensuring they are reliable, observable, and scalable.
- WHAT WE'RE LOOKING FOR - 3 to 6+ years of backend or full-stack engineering experience, with a 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 (GCP, AWS, or Azure), and deploying containerized applications. - Comfort operating in a 0→1 environment where you'll help define new patterns and practices for AI-native product development. BONUS POINTS -
- Experience with managed AI services (Vertex AI, AWS Bedrock, etc.), working with LLMs in production, or building evaluation frameworks (RAGAs, LangSmith, DeepEval). - Familiarity with agentic frameworks (LangGraph, CrewAI, Strands) or multi-agent system design. - Background in MLOps, data engineering, or