About the Role

We’re looking for an AI Engineer to help shape how our platform uses large language models (LLMs) to deliver meaningful, real-world value. You’ll focus on building and improving LLM-powered products — from designing and testing prompts to evaluating and optimizing model performance.

This is a highly collaborative, product-focused position where you’ll partner with product managers and engineers to turn cutting-edge AI capabilities into practical, scalable features. The role is fully remote within the U.S., ideal for someone who thrives in a fast-moving, distributed environment and communicates clearly and proactively.

Responsibilities

Prompt Engineering: Design, test, and refine prompts and system instructions to enhance LLM performance and reliability.
LLM-Powered Features: Build and integrate backend features leveraging LLMs to improve analytics and intelligent user experiences.
Model Evaluation: Create evaluation frameworks to assess and monitor LLM output quality across multiple use cases.
Continuous Improvement: Iterate based on metrics, internal testing, and user feedback to improve prompt and model accuracy.
Coding & Integration: Write and maintain production code (primarily in TypeScript and some Python) to support LLM interactions, including RAG pipelines, embeddings, and content chunking of large documents.

Qualifications

3+ years of experience in software engineering and AI/LLM development (open to less for exceptional candidates).
Hands-on experience with TypeScript, Python, and cloud services.
Strong understanding of NLP, vector databases, and RAG architectures.
Proven ability to evaluate and improve model outputs systematically.
Self-directed, highly collaborative, and comfortable working in a remote, asynchronous setup.

Tech Stack

TypeScript, Python, Large Language Models (LLMs), Prompt Engineering, Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), Vector Databases, APIs, Cloud Services

Job Type: Full-time

Pay: $190,000.00 - $250,000.00 per year

Work Location: Remote

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AI Engineer (LLMs / Prompt Engineering / RAG Systems)