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Who is Recruiting from Scratch: Recruiting from Scratch is a specialized talent firm dedicated to helping companies build exceptional teams. We partner closely with our clients to deeply understand their needs, then connect them with top-tier candidates who are not only highly skilled but also the right fit for the company’s culture and vision. Our mission is simple: place the best people in the right roles to drive long-term success for both clients and candidates. https://www.recruitingfromscratch.com/ Title of the Role: Machine Learning Engineer Location : New York, NY Company Stage of Funding : Early-Stage, Venture-Backed AI Healthcare Startup Office Type: Hybrid; some weeks may require up to 5 days/week in-office, other weeks only 1 days but we average 3 days a week Salary : $120,000–$150,000 + Equity Role Overview We’re an early-stage, venture-backed startup building AI systems for medical coding and revenue cycle workflows. We’re looking for a Founding AI Engineer to take end-to-end ownership of core AI systems—from data ingestion and retrieval to model adaptation and production deployment. This is a hands-on role in a fast-paced environment with high responsibility and meaningful equity upside. What You’ll Work On Design and build RAG systems over clinical notes, billing data, and coding guidelines Adapt and fine-tune LLMs (LoRA/QLoRA, instruction tuning) for medical coding and explanations Help architect and operate GCP-based infrastructure (Cloud Run/GKE, Vertex AI, BigQuery, Pub/Sub) Build evaluation and feedback loops to measure accuracy and quality Own integrations with EHRs, RCM systems, and other healthcare data sources What We’re Looking For Experience building and shipping LLM + RAG systems in production Hands-on experience with model adaptation or fine-tuning techniques Strong backend engineering skills (Python, TypeScript, or similar) Comfortable working with messy, real-world data and production systems Ownership mindset and ability to move quickly in an early-stage startup Nice to Have Healthcare, EHR, or medical coding experience (ICD-10, CPT, HCPCS) Experience handling PHI and working in HIPAA-regulated environments Familiarity with Vertex AI or high-performance inference NYC-based or able to be in-office periodically Compensation Base Salary: $120,000 – $150,000 Equity: Meaningful early-stage equity
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.