Senior Backend Engineer - AI for Hardware (Remote)

Socket.dev; Boston (MA); On-site; USD 165,000 - 200,000; Full time

Benefits offered by this job

Full health/dental/vision

Bonus program

401K with company match

Paid time off

Annual learning stipend

Equity & Growth

Job summary

Re:Build is seeking a senior backend engineer to build core services and AI infrastructure powering an AI-native hardware platform. You will ship reliable systems, own REST APIs, data extraction pipelines, and ambient AI agents.

You will collaborate with AI researchers and product leadership to turn unstructured inputs into structured artifacts, orchestrate agent workflows, and deliver real-time project intelligence to users. This is hands-on coding with architectural input.

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.

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 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 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

Python

FastAPI

PostgreSQL

AI tooling

REST APIs

Celery

SQLAlchemy

Docker

Terraform

Cloud Run

Tools

SQLAlchemy

Docker

Terraform

Cloud Run

Postgres tooling

Job description

Re:Build is seeking a senior backend engineer to build core services and AI infrastructure powering an AI-native hardware platform. You will ship reliable systems, own REST APIs, data extraction pipelines, and ambient AI agents.

You will collaborate with AI researchers and product leadership to turn unstructured inputs into structured artifacts, orchestrate agent workflows, and deliver real-time project intelligence to users. This is hands-on coding with architectural input.