Get AI-powered advice on this job and more exclusive features. Job Title: Backend Engineer – LLM & Content Classification

Location: Remote (U.S. Only – Must Have 3-Hour Overlap with PST)

Pay Range: $60–$65/hour W2 (No C2C or Sponsorship)

Duration: 12 Months Job Title: Backend Engineer – LLM & Content Classification

Location: Remote (U.S. Only – Must Have 3-Hour Overlap with PST)

Pay Range: $60–$65/hour W2 (No C2C or Sponsorship)

Duration: 12 Months

Introduction

The Planet Group is seeking a Backend Engineer to join a high-impact, remote-first team focused on leveraging Large Language Models (LLMs) to classify and structure massive content datasets. This team is building a scalable system to categorize various forms of user-generated content using state-of-the-art LLM techniques, including retrieval-augmented generation (RAG). If you're a backend developer with production-level LLM experience, strong Go and Python skills, and a desire to work on high-scale systems, this is a rare opportunity to join a fast-moving team at the forefront of AI-driven automation.

Required Skills & Qualifications

4–8+ years of professional experience developing distributed backend systems

Proven hands-on experience with LLMs, including prompt engineering, automation workflows, and multi-stage RAG pipelines

Strong programming skills in Python and Go (Golang)

Experience working with distributed systems, microservices, and high-throughput environments

Deep familiarity with AWS or Google Cloud, Kubernetes, Kafka, and Redis

Ability to debug large systems at scale and contribute across the full development cycle (design, build, test, deploy)

Strong communication skills and ability to work cross-functionally in a remote-first environment

Demonstrated ability to operate autonomously and unblock yourself without heavy oversight

Experience with modern software engineering practices including:

CI/CD

A/B testing

Unit/integration/E2E testing

Code reviews and technical documentation

Preferred Skills & Qualifications

Background in high-scale consumer platforms or large enterprise tech (e.g., fintech, social, data platforms)

Experience planning, managing, and estimating project timelines

Past involvement in content classification or information retrieval systems

Startup-friendly mindset: proactive, creative, and comfortable with ambiguity

Day-to-Day Responsibilities

Build automated systems to classify and tag massive volumes of unstructured content using LLMs

Develop backend pipelines that utilize multi-round RAG, vector search, and semantic retrieval techniques

Partner with cross-functional teams (Product, Data Science, Engineering) to define and launch new classification workflows

Architect durable, observable, and fault-tolerant backend services that scale with user growth

Manage and iterate on experiments, including A/B tests and performance tuning

Write clean, testable code in Python and Go, with strong documentation and observability

Continuously improve the team’s ability to deliver value quickly with high technical standards

Company Benefits & Culture

100% Remote role with flexible working hours (3+ hours PST overlap required)

Work on state-of-the-art LLM, AI, and content automation challenges

Access to cutting-edge tools and infrastructure in a large-scale cloud-native environment

Be part of a collaborative team that values innovation, autonomy, and ownership

Fast-paced, agile development culture with strong engineering practices

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