Senior Backend Engineer

web; United States; Remote; USD 120,000 - 210,000; Full time

Benefits offered by this job

Remote work

Health coverage

Retirement matching

Paid leave

Job summary

web is seeking a senior backend engineer to build and operate AI-powered product features at scale. You’ll own architecture through deployment, including asynchronous APIs, multi-agent workflows, and retrieval systems.

You will design REST/WebSocket APIs in Python, connect language model providers, and implement retrieval-augmented generation pipelines with vector databases. Remote work options are available.

Qualifications

• At least five years building production backend systems in Python with asynchronous I/O.
• Experience designing and scaling REST or asynchronous APIs and maintaining clean service architecture.
• Practical experience integrating language model APIs and building RAG systems with vector databases.
• Strong relational database skills, including schema design, query tuning, and migrations.
• Experience owning CI/CD workflows and applying AI tools across software delivery, including guardrails.

Responsibilities

• Design and scale asynchronous REST and WebSocket APIs in Python with clear service boundaries.
• Build multi-agent workflows and connect multiple language model providers via an integration layer.
• Develop retrieval-augmented generation pipelines backed by vector search and evolving schemas/migrations.
• Track service reliability, latency, and AI usage costs with structured logs and metrics.
• Own the delivery path from code checks to packaging and deployment, including safeguarding data-use.

Skills

Python

Async I/O

API design

CI/CD

LLM/AI tooling

Tools

Vector databases

Language model APIs

Job description

**Role overview**

Build and operate backend services that support AI-powered product features at scale. You’ll own work from architecture through deployment, including asynchronous APIs, multi-agent workflows, and retrieval systems, while helping define safe and effective ways to use AI throughout software delivery.

**Responsibilities**

• Design and scale asynchronous REST and WebSocket APIs in Python, using clear service boundaries and dependency injection.


• Build multi-agent workflows and connect multiple language model providers through a flexible integration layer.


• Develop retrieval-augmented generation pipelines backed by vector search, and evolve application schemas and migrations.


• Track service reliability, latency, and AI usage costs with structured logs, tracing, and operational metrics.


• Own the delivery path from code checks and tests through packaging and deployment; establish review, provenance, licensing, and data-use safeguards for AI-assisted work.

**Requirements**

• At least five years building production backend systems in Python, including hands-on asynchronous I/O.


• Experience designing and scaling REST or asynchronous APIs and maintaining clean service architecture.


• Practical experience integrating language model APIs and building RAG systems with vector databases.


• Strong relational database skills, including schema design, query tuning, and disciplined migrations.


• Experience owning CI/CD workflows and applying AI tools thoughtfully across software delivery, including reviewing generated code and setting usage guardrails.


• Able to work independently through ambiguity and take problems from initial design to production.

**Nice to have**

• Experience with multi-agent orchestration frameworks or tools for language model cost tracking and observability.

**Benefits and work setup**

The listing describes remote work, health coverage options, retirement matching, paid leave, tuition reimbursement, and other insurance and employee programs. It also highlights learning opportunities and employee affinity groups.