# Senior Software Engineer, Backend (AI)

**Company:** [Posh](https://hotfix.jobs/companies/posh)
**Location:** New York, NY
**Role:** Backend Engineering
**Salary:** $200k – $220k/yr
**Experience:** 3+ years
**Skills:** Python, Java, TypeScript, Node.js, Terraform, AWS, GCP, Azure, Docker, Kubernetes
**Posted:** 2026-03-13

> Senior Backend Engineer building scalable AI infrastructure, services, and evaluation pipelines in Python/Java on AWS with Terraform. 3-6+ years experience required.

## Job Description

## 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). 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.
- 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 experience at consumer, marketplace, or event-driven platforms.

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**Apply:** https://hotfix.jobs/jobs/65c2f042-b7ab-4d75-a842-e80247d7a94b
**Canonical:** https://hotfix.jobs/jobs/65c2f042-b7ab-4d75-a842-e80247d7a94b