Senior AI Engineer

Senior AI Engineer

Location: Remote (USA Only)

Compensation: $190,000 - $220,000 (Base Salary) + Competitive Equity

We are an evolving platform that combines expert training with AI-powered tools to help product teams ship high-quality software faster. We're seeking a Senior AI Engineer to play a key role in shaping how our platform uses Large Language Models (LLMs) to deliver value. This is a highly collaborative, product-focused role where you'll be instrumental in turning cutting-edge AI capabilities into practical, user-facing features.

This is a fully remote, product-focused role where you will primarily write and maintain code to build and integrate new LLM-powered backend features, directly enhancing our platform with intelligent capabilities.

What you'll own:

• Prompt Engineering: Design, experiment with, and refine prompts and system instructions to maximize the effectiveness and reliability of LLMs across our products.
• LLM-Powered Features: Collaborate closely with product managers and engineers to develop and integrate new backend features, enhancing our platform with intelligent capabilities.
• Coding & Integration: Write and maintain code (primarily in TypeScript, with some Python) to implement LLM interactions. This includes building Retrieval-Augmented Generation (RAG) pipelines, working with vector embeddings, and handling content chunking of large documents.
• Continuous Improvement: Continuously evaluate the quality of LLM outputs via internal testing and user feedback. Iterate on prompts, model settings, or data pipelines to improve performance over time.
• Model Evaluation: Design and implement robust evaluation frameworks to assess LLM performance across different use cases. Develop automated testing pipelines and monitor key metrics to ensure consistent quality.

• Experience: 3+ years of experience in software engineering and AI/LLM development (open to less experience for candidates with a strong technical pedigree).
• Coding Proficiency: Strong ability to write and maintain production code, primarily in TypeScript, with proficiency in Python also required.
• LLM Expertise: Proven experience building and improving LLM-powered products, with a focus on Prompt Engineering and tuning model outputs for optimal performance.
• AI Systems: Hands-on experience building core components of LLM applications, such as RAG pipelines and working with Vector Databases and embeddings.
• Collaboration: Excels at clear, asynchronous communication within a distributed, remote team.
• Mindset: Self-motivated, product-focused, and adept at translating cutting-edge AI concepts into practical, shippable features.

Preferred Qualifications:

• Experience with Insight Analytics platforms or related data intelligence tools.
• Familiarity with modern cloud services and API integration.