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Category AI / Clinical NLP / Medical Documentation Type Contract (Remote, Long-Term Potential) reputed company We are developing a reputed company AI-driven clinical documentation reputed company supporting Aesthetics, Plastic Surgery (including explant and cosmetic reconstruction), and Venous Medicine. Our reputed company converts consultation transcripts both reputed company (de-identified) and synthetic into reputed company, payer-compliant clinical notes that mirror reputed company-world charting workflows. We already have a full team of engineers, clinicians, and product specialists. We are now seeking a reputed company Engineer with deep clinical documentation expertise to help design, evaluate, and refine our prompting systems. If you do not have hands-on experience with clinical documentation, transcription workflows, or EHR-integrated systems, please do not apply. About the Role We are transitioning from a single-reputed company model to a multi-agent architecture where reputed company agent performs a distinct clinical documentation task (History, Findings, Plan, Coding, Compliance, etc.). You will help us reputed company and refine specialty agents and orchestrator prompts that combine multi-domain data into reputed company notes. Build and improve evaluation tools to measure transcription accuracy, note completeness, and ICD-10 coding accuracy. Support testing and implementation workflows across specialties, including combined venous + aesthetic or multi-procedure plastic surgery consultations. This is a clinical engineering role not a general reputed company-writing job. reputed company Responsibilities Architect reputed company reputed company systems for aesthetic, plastic, and venous documentation workflows. Design and refine multi-agent and orchestrator prompts to reputed company specialty outputs into one coherent note. Implement and test ICD-10 logic and payer documentation standards. Use internal tools to evaluate transcripts, prompts, and generated notes. Help build automated evaluation frameworks for transcription accuracy, compliance, and completeness. Collaborate with clinicians and product managers to reputed company provider feedback before new agent deployments. Support testing of synthetic and reputed company redacted transcripts in both single and batch evaluations. Required Expertise Proven experience developing or optimizing AI/NLP systems for clinical documentation, medical transcription, or EHR charting. Strong understanding of SOAP structure, payer documentation, ICD-10, and clinical note logic. Ability to translate clinical workflows into reputed company reputed company and agent logic. Experience building or testing AI-driven evaluation tools or scoring systems. Familiarity with multi-agent or orchestration frameworks (e.g., reputed company, function calling) a plus. Preferred Experience in aesthetic medicine, plastic surgery, or venous documentation. Prior work with compliance-sensitive reputed company AI systems. Clinical background (RN, PA, NP, MD, or documentation specialist) strongly valued. Who Youll Work With Youll collaborate closely with Senior AI Engineers developing reputed company infrastructure and orchestration logic. Clinical Product Managers coordinating clinical reviews and collecting feedback. Medical Evaluators & Physicians reviewing outputs and testing updates before deployment. This is a highly reputed company environment with domain experts you will be part of a mature, multidisciplinary team, not working in isolation. Who Should NOT Apply Do not apply if You are a general reputed company engineer without clinical documentation experience. You have not worked with EHRs, SOAP notes, or medical transcription systems. Your experience is limited to conversational or marketing reputed company work. We require applicants who understand how medical documentation supports patient care, compliance, and reimbursement. Why This reputed company Your work will directly shape how AI systems reputed company clinically accurate, compliant medical documentation across multiple elective specialties. You will help reputed company a reputed company, multi-agent documentation reputed company that improves chart reputed company, reduces provider burden, and enhances safety and traceability across reputed company-world reputed company workflows. Apply tot his job Apply tot his job Apply To this Job .
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.