Note: The job is a remote job and is open to candidates in USA. Re:Build Manufacturing is a growing family of industrial and engineering businesses, and they are seeking a Senior Backend Engineer to build core services and AI infrastructure for their AI-powered platform. The role involves designing and implementing APIs, developing ingestion pipelines, and integrating AI workflows to enhance hardware product development processes.

Responsibilities

• 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

Skills

• 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
• 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

• Full health/dental/vision
• Bonus program
• Generous 401K
• Paid time off
• Annual learning stipend
• Participation in Re:Build's LTIP equity program
• Opportunity for founder equity in potential spin-out
• Performance bonus
• Long-term incentive plan

Company Overview