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MLabs

MLabs

via Workable

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Staff/Senior Software Engineer, Applied AI

Anywhere
full-time
Posted 9/22/2025
Direct Apply
Key Skills:
Backend Engineering
Applied AI
Cloud Software
AI/ML Features
LLM Agent Design
Context Engineering
Embedding Systems
Semantic Search
Keyword Search
Go
Python
GCP
Data Pipelines
APIs
Healthcare

Compensation

Salary Range

$140K - 250K a year

Responsibilities

You will be responsible for building and scaling secure, resilient AI/LLM Agent software systems on cloud platforms. This includes designing and building data pipelines and APIs for sensitive data and collaborating with teams to deliver state-of-the-art AI systems for healthcare.

Requirements

Candidates should have 3+ years of professional backend engineering experience and a strong background in applied AI. A Bachelor's degree in Computer Science or a related field from a top school is required, along with proven experience in bringing AI/ML features from conception to production.

Full Description

Our client is a mission-driven health tech company building AI agents to scale patient care without needing more clinicians. They are at the forefront of applying AI to create modern, powerful, and intuitive products for healthcare providers and chronic disease management. They've built a world-class team with expertise in engineering, medicine, and design, and are on track to close their Series A and achieve profitability within the next 18 months. Our client is looking for a Staff/Senior Software Engineer to join their team. You'll play a crucial role in building and scaling AI/LLM Agent software systems. This is a chance to own an entire AI product vertical, working directly with a clinical team to ship life-saving features. If you are passionate about applying your technical skills to make a tangible impact on patient care, this role is for you. You will be responsible for: Building and scaling secure, resilient AI/LLM Agent software systems on cloud platforms. Designing and building data pipelines and APIs for sensitive data, including patient, genomics, and wearables data. Owning projects that drive measurable outcomes in patient care. Collaborating with co-founders, product, and design teams to deliver state-of-the-art AI systems for healthcare. 3+ years of professional post-college backend engineering experience, with a track record of building and shipping cloud software applications. Strong backend engineering & applied AI background Built cloud software applications (backend). Built AI/ML features in production. Bachelor’s in CS or related field (top school) Proven experience in bringing AI/ML features from conception to production. Strong skills in LLM Agent Design, Context Engineering, Embedding Systems, and Semantic/Keyword Search. Proficiency in backend languages like Go or Python. Experience with cloud platforms (GCP preferred), particularly with data pipelines and APIs. A desire to work remotely, but with a willingness to participate in in-person co-working days and happy hours in the San Francisco Bay Area. Bonus Points: Experience in the healthcare space. Experience in product or design. Salary: $140,000–$250,000 Equity: Stock option grants Visa Sponsorship: Available 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.

This job posting was last updated on 9/23/2025

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