Senior Backend Engineer

About Re:Build

Re:Build’s mission is to ensure the next generation of important products are made, at scale, in America. We revitalize America’s manufacturing base and create meaningful jobs across the country, including in historically deindustrialized regions. Our advanced, end-to-end manufacturing platform partners with industrial companies and innovators to take products from first concept to full-scale production in aerospace and defense, electrification, medical, energy and environment, and robotics and automation.

The way we operate is guided by The Re:Build Way, 16 principles that shape how we collaborate with each other, partner with customers and vendors, and contribute to the communities where we operate.

About the role

Reflow is building the first AI-powered platform purpose-built for hardware product development. We listen across the tools teams already use, maintain a structured picture of every program, and proactively coordinate across disciplines when things change.

This is a ground-floor opportunity for a hands-on backend engineer to build the core services and AI infrastructure powering the platform, with the support of a parent company leading innovation in engineering and manufacturing.

Who We're Looking For

We seek a backend engineer who ships reliable, well-designed systems and takes ownership of the services they build. The ideal candidate has production experience with Python, FastAPI, and PostgreSQL, and is comfortable building REST APIs, background task pipelines, and AI agent infrastructure. You should already use AI coding tools like Cursor, Copilot, or Claude to accelerate your work, with excitement about building the backend that powers the first AI-native platform for complex hardware development.

The senior engineer will work alongside our engineering team, AI researchers, and head of product to:

• Turn unstructured inputs (call transcripts, emails, documents, datasheets) into structured engineering artifacts (requirements, project plans, dependencies)
• Orchestrate ambient AI agents for proactive coordination
• Serve real-time project intelligence to users

Responsibilities

• Design and implement RESTful APIs with OpenAPI specs and auto-generated client SDKs using SQLAlchemy and PostgreSQL
• Develop ingestion pipelines using Celery and Redis that connect to tools teams already use (file storage, messaging, email) and extract structured engineering artifacts from unstructured inputs
• Build and extend agentic AI workflows using LangChain, LangGraph, and related frameworks for structured data extraction, risk detection, dependency analysis, and proactive team coordination
• Integrate LLM APIs (Anthropic Claude, OpenRouter) with streaming (SSE), error handling, and cost optimization
• Deploy and operate services on GCP (Cloud Run, Cloud SQL, Memorystore) with Terraform
• Write well-tested, maintainable code and participate in code reviews to establish engineering best practices

Requirements

• Must Have:
  • 5+ years building production backend systems, with 3+ years in Python
  • Demonstrated proficiency using AI coding tools (Cursor, Copilot, Claude, etc.) to accelerate development
  • Strong experience with FastAPI or similar async Python web frameworks
  • Production experience with PostgreSQL, including schema design, migrations, and query optimization
  • Hands-on experience with task queues and background processing (Celery, Redis, or similar)
  • Understanding of API design, authentication patterns (OIDC/JWT), and service architecture
  • Experience with containerized deployments (Docker) and CI/CD pipelines
  • Ability to balance rapid iteration with maintainable, well-tested code
• Highly Valuable:
  • Have worked in early-stage 0 to 1 startup environments
  • Production experience integrating LLM APIs (Anthropic, OpenAI, etc.) and building AI-powered features with agent orchestration frameworks (LangChain, LangGraph, or similar)
  • Hands-on experience with GCP services (Cloud Run, Cloud SQL, Pub/Sub, Secret Manager) and Infrastructure-as-Code with Terraform
  • Experience with data ingestion pipelines and ETL workflows
  • Background in B2B SaaS platforms, project management tools, or workflow automation products
  • Understanding of hardware development, engineering workflows, or project management concepts (phases, gates, dependencies)

Benefits

• Full health/dental/vision coverage
• Bonus program
• Generous 401(k) matching
• Paid time off
• Annual learning stipend

Compensation

Remote-first, with preference for candidates in Boston, Seattle, Los Angeles, or other cities with Re:Build offices.

The base salary range for this position is $165,000 – $200,000 per year. Actual compensation will be determined based on relevant experience, skills, qualifications, internal equity, and geographic location. In addition to base salary, this role may be eligible for annual incentive compensation and/or long-term incentives, subject to Company plans.

Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.