Backend AI/ML Engineer for Rapid Prototyping

Bzpp; United States; On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

No-cost health premiums

401(k) matching

Paid time off

Mental health resources

Parental leave

Job summary

LG Electronics is seeking a backend-focused AI/ML engineer to support fast-moving PoC projects. You will build and iterate on backend APIs, data pipelines, and integrations that bring AI-powered ideas from concept to working prototype.

The ideal candidate will work closely with stakeholders to understand goals, identify gaps, and contribute ideas during early product discussions. This role requires comfort with ambiguity and the ability to deliver working prototypes that guide product direction.

Qualifications

• 3–7 years of experience in software engineering.
• Experience building and deploying REST APIs (FastAPI, Flask, or similar).
• Familiarity with LLM APIs (OpenAI, Anthropic, Gemini, or similar).
• Working knowledge of SQL and at least one non-relational data store.
• Clear written communicator; can explain technical findings to a non-engineering audience.

Responsibilities

• Build and iterate on backend APIs and data pipelines for AI/ML-powered PoC projects.
• Integrate third-party AI services and models (LLMs, embedding models, vision, and speech).
• Work with stakeholders to understand goals and document decisions.
• Set up evaluations across AI providers and summarize findings clearly.
• Document technical findings and decisions for the broader team.
• Juggle multiple workstreams and communicate progress and blockers.

Skills

REST APIs

LLM APIs

SQL

NoSQL

Documentation

Tools

FastAPI

Flask

Job description

LG Electronics is seeking a backend-focused AI/ML engineer to support fast-moving PoC projects. You will build and iterate on backend APIs, data pipelines, and integrations that bring AI-powered ideas from concept to working prototype.

The ideal candidate will work closely with stakeholders to understand goals, identify gaps, and contribute ideas during early product discussions. This role requires comfort with ambiguity and the ability to deliver working prototypes that guide product direction.