Senior AI Engineer

Senior AI Engineer (Product Focus) Full-time | Remote Location: USA We are a technology company focused on empowering teams by combining cutting-edge software with expert insights. We are seeking a highly skilled Senior AI Engineer to play a key role in integrating and optimizing Large Language Models (LLMs) to deliver transformative value across our platform. This is a highly collaborative, product-focused role operating within a remote-first environment. You will own the technical execution and continuous improvement of all LLM-powered features across our product suite. Your work will involve deeply integrating AI capabilities into our backend systems to enhance user experience and deliver intelligent capabilities.

What You'll Own:

• Prompt Engineering: Design, experiment with, and rigorously refine prompts and system instructions to maximize the effectiveness, reliability, and security of LLMs across various product features.

LLM-Powered Feature Development: Collaborate closely with Product Managers and Engineering to develop and integrate new backend features using LLMs, primarily enhancing our platform with intelligent capabilities. Coding & Integration: Write and maintain high-quality production 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. The majority of your time will be spent shipping production code. Continuous Improvement & Evaluation: Continuously evaluate the quality of LLM outputs using internal testing and user feedback. You will design and implement evaluation frameworks and develop automated testing pipelines to monitor key metrics and ensure consistent quality and performance.

• Data Pipelines: Iterate on model settings and data pipelines (e.g., RAG) to improve LLM performance over time and deliver a better, more reliable user experience.
• The ideal candidate is a self-motivated, product-minded software engineer with deep expertise in applying LLMs to production environments.

3+ years of experience in software engineering and AI/LLM development (we are open to candidates with less experience but exceptionally strong pedigree).

• Proven ability to work in a highly collaborative, product-focused environment.
• Expert-level proficiency in TypeScript and/or Python for building production-level AI features.
• Strong practical experience with Prompt Engineering and optimizing LLM outputs.

Hands-on experience building and deploying Retrieval-Augmented Generation (RAG) pipelines and working with Vector Databases and embeddings. Experience designing and implementing evaluation frameworks and automated testing for LLM performance. Excellent asynchronous communication skills, essential for success within a distributed, remote team.

Work Policy:

• This is a fully remote position, but the candidate must be located and authorized to work in the USA.
• Visa sponsorship is not available (cannot sponsor or transfer visas).
• We offer a competitive compensation package designed to attract top-tier AI engineering talent, combined with the flexibility of a remote working environment.
• Salary Range: $190,000 - $220,000 (Base Salary).
• Equity: Competitive equity package.
• Remote Flexibility: Opportunity to work fully remote from anywhere in the US.
• High Impact: Directly shape the platform's future by integrating cutting-edge AI capabilities into core customer value propositions.

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 human-resources@mlabs.city. MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.