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.

• Impact: Play a key role in shaping the future of product management by combining expert training with cutting-edge AI-powered software tools.
• Compensation: Highly competitive salary ($190,000 - $220,000) and a competitive equity package.
• Work Policy: Fully Remote position, allowing you to work from anywhere in the USA.
• Team: Join a small, high-impact team that prioritizes delivering value to customers and maximizing the pace of improvement.
• Visa Support: Cannot sponsor or transfer visas for this position.

Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.

Commitment to Equality and Accessibility:

At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing [email protected].

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