Backend/ML Engineer

What we can offer:

A crafted employee experience designed to foster professional growth, a focus on health & well-being and an internal community that will set you up for success.

We offer an environment that enables colleagues to demonstrate their capabilities, focus on their work and create value. At LG, you're encouraged to take a creative and individual approach to challenges with strong emphasis placed on performance and skill—and equal, merit-based opportunities across the board. We want our colleagues to grow with our global business. That's why we deliver sure rewards for exceptional performance and offer industry-leading benefits. Come join the team!

The Opportunity:

This is a Contract to Full Time role

We are seeking a backend-focused AI/ML engineer to support fast-moving proof-of-concept projects across a variety of product domains. This role will be responsible for building and iterating on backend APIs, data pipelines, and integrations that bring AI-powered ideas from concept to working prototype.

The ideal candidate is comfortable working in ambiguous, early-stage environments and can quickly define a practical path forward when requirements are still evolving. They will integrate third-party AI services and models, including LLMs, embedding models, vision, and speech technologies, while evaluating different providers and summarizing results to guide technical and product decisions.

This position will work closely with stakeholders to understand project goals, identify requirement gaps, and contribute ideas during early product and feature discussions. Strong communication and documentation skills are essential, as the role requires clearly capturing technical findings, decisions, progress, and blockers for broader team visibility.

The successful candidate will be highly adaptable, able to manage multiple concurrent workstreams, and motivated by turning emerging AI/ML concepts into functional prototypes that help shape future product direction.

Responsibilities:

• Build and iterate on backend APIs and data pipelines for AI/ML-powered PoC projects, moving fast from idea to working prototype
• Integrate third-party AI services and models (LLMs, embedding models, vision, speech, etc.) across a variety of product domains
• Work directly with stakeholders to understand project goals, identify gaps in requirements, and document decisions
• Set up and run evaluations across AI providers and models, collect results, and summarize findings clearly
• Contribute ideas to early-stage product and feature discussions
• Document technical findings and decisions clearly enough for the broader team to act on
• Juggle multiple concurrent workstreams and communicate progress and blockers proactively
• Comfortable with ambiguity — able to define a path forward when the full picture isn't clear

Education / Experience (Requirements):

• 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
• Comfortable working from loosely defined requirements and moving forward without waiting to be told
• Clear written communicator; can explain technical findings to a non-engineering audience
• Self-directed — raises blockers early and communicates status without being asked

Nice to have

• Experience with ML model evaluation or comparing outputs across AI providers
• Familiarity with embedding-based search, recommendation, or personalization
• Experience writing technical specs or findings for handoff to other teams
• Exposure to data ingestion from third-party APIs
• Has shipped something end-to-end independently — side project, open source, or otherwise