[Hiring] Senior Backend Engineer - AI Product @Re:Build Manufacturing

Role Description

If you've worked alongside hardware teams, you know the damage that results from a missed change request or critical context that was never relayed to the right person. Reflow exists to close that gap. We're building the first AI-powered platform purpose-built for hardware product development, one that listens across the tools teams already use, maintains a structured picture of every program, and proactively coordinates across disciplines when things inevitably change.

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

What You'll Do

• Designing and implementing RESTful APIs with OpenAPI specs and auto-generated client SDKs using SQLAlchemy and Postgres
• Developing 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
• Building and extending agentic AI workflows using LangChain, LangGraph, and related frameworks for structured data extraction, risk detection, dependency analysis, and proactive team coordination
• Integrating LLM APIs (Anthropic Claude, OpenRouter) with streaming (SSE), error handling, and cost optimization
• Deploying and operating services on GCP (Cloud Run, Cloud SQL, Memorystore) with Terraform
• Writing well-tested, maintainable code and participating in code reviews to establish engineering best practices

Qualifications

• 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

Requirements

• 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 experience 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

• Real Impact: The opportunity to build purpose-built tooling for an entire industry that has never had it
• Customer Access: Direct exposure to hundreds of real hardware projects annually through Re:Build's engineering and manufacturing companies
• Technical Growth: Hands-on work with cutting-edge AI technologies solving novel technical challenges
• Autonomy: Backed by Re:Build while operating with startup independence
• Benefits: Full health/dental/vision, bonus program, generous 401K, paid time off, annual learning stipend
• Equity & Growth: Participation in Re:Build's LTIP equity program and opportunity for founder equity in potential spin-out

Compensation & Location

• Location: Remote-first, with preference for candidates in Boston, Seattle, Los Angeles, or other cities with Re:Build offices
• Compensation: Base salary range of $165,000 to $215,000 with performance bonus and long-term incentive plan offered. Potential equity stake under independent spinout scenario.