Applied AI Engineer - job 1 of 2

Applied AI Engineer

Location: NYC (On-site, 5 days/week)

Employment Type: Full-time

Salary Range: $150K - $225K

We are a rapidly growing, well-funded technology company operating at the intersection of AI, Software Development, and the Healthcare/Life Sciences industry. We are building a foundational network and applying advanced AI techniques to revolutionize how new life-changing therapies reach patients. This is a demanding, high-autonomy role with end-to-end responsibility for driving measurable business impact. Visa sponsorship is available.

As an Applied AI Engineer, you will be responsible for leveraging LLMs and various Machine Learning techniques to solve critical business problems, automate complex processes, and create groundbreaking AI applications across our product suite. This role requires a deep understanding of the business domain to ensure your technical output directly drives user growth, operational efficiency, and revenue generation.

Key Responsibilities:

• Spearhead and own end-to-end AI augmentation and automation projects, including:
• Unintuitive classifications, data extraction, and summarization.
• Precise content generation, reference-based search, and question answering.
• Process outcome prediction and probabilistic workflow triggering.
• Building multi-modal model-powered bots and agents.
• Drive zero-to-one product development from conceptualization through successful production launch, collaborating closely with go-to-market and operations teams.
• Stay abreast of emerging AI methods, determining optimal models and techniques, including strategies for fine-tuning and custom model training.
• Establish rigorous research strategies, experimentation, and evaluation protocols to ensure high accuracy and consistency of AI outputs (e.g., building a one-click evaluation system).
• Prototype, productionize, and refine AI functionality and agents based on real-world operational and client feedback.
• Develop robust engineering processes, tools, and systems to support faster AI product development and efficient model scaling.
• Participate actively in client engagements to understand complex requirements and deliver innovative, AI-powered solutions.
• Work to decipher and automate complex, branching workflows (e.g., combining AI/ML with RPA/scraping for multi-step, path-dependent processes).

• Experience: 0 - 15 years of experience as an AI Engineer, ML Engineer, or ML Research Engineer at a high-quality company or successful early-stage startup.
• Technical Stack: Strong proficiency in our core tech stack, which includes Python, React, TypeScript, PostgreSQL, and Kubernetes.
• Applied AI Expertise: Deep practical experience in applying LLMs and ML to solve real-world, production use cases.
• Ownership Mentality: Demonstrated ability to take end-to-end responsibility for projects (definition, design, development, launch, and success).
• System Development: Experience developing robust and scalable systems, including managing complex failure modes and creating state machines for multi-step processes.
• Experimentation: Proven ability to establish robust research, experimentation, and evaluation protocols for AI methods.
• Soft Skills: Low-ego, hungry to learn, excellent communication skills, and excitement for intense, high-impact, and cross-functional work.

• Competitive base salary package ($150K - $225K) and competitive equity compensation.
• Visa sponsorship is available for qualified candidates.
• Opportunity to work at a well-funded, high-growth startup backed by leading investors (e.g., Thrive Capital, General Catalyst).
• High level of autonomy and responsibility, providing accelerated career progression.
• Work with a modern and powerful tech stack focused on Python and cloud-native solutions like Kubernetes.
• The chance to use AI to drive meaningful, life-changing impact in the complex healthcare and life sciences industry.

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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