Ambient Listening Engineer

DrFirst; France; Remote; EUR 125.000 - 143.000; Vollzeit

Benefits dieser Stelle

Medical, dental, and vision insurance

401K with company match

Discretionary bonus

HSA contributions up to $1000 family /

PTO 18 days + holidays

Education funds up to $1500 annually

Zusammenfassung

DrFirst is seeking an Ambient Listening Engineer to join our Provider Solutions, eRx Retail team. You will build ambient AI to capture, transcribe, and structure spoken conversations from clinical interactions, enabling seamless data flow to downstream systems.

Join a small, fast-moving team focused on real-time audio, NLP, and ML models. The role emphasizes hands-on building, collaboration with clinical stakeholders, and privacy-conscious design in a remote-first setting.

Qualifikationen

• 5+ years of professional software engineering experience with end-to-end production systems.
• Hands-on experience with real-time or streaming audio pipelines (WebRTC, gRPC, Kafka).
• Experience with speech-to-text, NLP, or applied ML models, via APIs or fine-tuning.
• Strong backend skills in Python, Go, or Java; comfortable across the stack.
• Preference for hands-on prototyping and cross-functional collaboration.
• Experience in small, fast-moving teams with overlapping roles.
• Familiarity with cloud infra (AWS/Azure/GCP) and Docker/Kubernetes.
• Good written and verbal communication with clinical or non-technical stakeholders.

Aufgaben

• Design and maintain real-time ambient audio capture and streaming pipelines.
• Integrate ASR, diarization, and noise suppression to improve accuracy.
• Build services to convert audio into structured clinical data and notes.
• Collaborate with product and clinical informatics to prototype solutions quickly.
• Own metrics for reliability, latency, and accuracy of the listening pipeline.
• Implement privacy and HIPAA-compliant handling of audio data.
• Evaluate third-party and open-source models to accelerate roadmaps.
• Participate in code reviews and on-call rotations.

Kenntnisse

Real-time audio

Backend engineering

Speech-to-text

NLP

ML models

Python

Go

Java

Cloud infra

Team collaboration

Tools

WebRTC

gRPC

Kafka

Docker

Kubernetes

Whisper

Deepgram

Azure Speech

Jobbeschreibung

About DrFirst

For 25 years, DrFirst has empowered providers and patients to achieve better health through intelligent medication management. We improve healthcare workflows and help patients start and stay on therapy with end-to-end solutions that enhance prescription access, affordability, and adherence. Our solutions help 100 million patients a year and are used by more than 420,000 prescribers, 71,000 pharmacies, 270 EHRs and health information systems, and over 2,000 hospitals in the U.S. This is a great opportunity to be a part of a successful Healthcare IT company experiencing significant growth. Here you’ll get to work with some of the smartest and most interesting people around, solving unique and complex challenges in healthcare on a scale matched by few companies. If you get excited about stretching yourself in new ways, developing yourself to your fullest potential, and care about working with smart colleagues, we want to talk to you!

Position Overview

DrFirst is seeking an Ambient Listening Engineer to join our Provider Solutions, eRx Retail team. You will build the technology that lets ambient AI quietly and reliably capture, transcribe, and structure spoken conversations, whether a provider-patient encounter or another clinical interaction, so information moves seamlessly to where it is needed. You will work at the intersection of real-time audio pipelines, speech and language models, and clinical workflow, with a bias toward shipping working software and iterating quickly alongside a small, tight-knit team. This role suits a developer who excels at hands-on implementation and thrives in a close-knit, collaborative environment.

What you will work on

• Design, build, and maintain real-time and near-real-time ambient audio capture and streaming pipelines, from device and microphone input through transcription and downstream processing.
• Integrate and fine-tune speech-to-text (ASR), speaker diarization, and noise-suppression models to maximize accuracy in noisy, multi-speaker clinical environments.
• Build the services and APIs that turn raw ambient audio into structured, actionable output such as clinical notes, summaries, or discrete data elements for downstream systems.
• Partner closely with product, clinical informatics, and design to translate ambiguous workflow problems into working prototypes quickly.
• Own reliability, latency, and accuracy metrics for the ambient listening pipeline; instrument, monitor, and continuously improve them in production.
• Implement privacy- and security-conscious handling of audio and derived data, in line with HIPAA and other applicable regulatory requirements.
• Evaluate and integrate third-party and open-source speech and LLM models where they accelerate the roadmap, balancing build-vs-buy tradeoffs.
• Participate in code reviews, design discussions, and the on-call rotation for the services you own.

Qualifications

Required Qualifications

• 5+ years of professional software engineering experience, with a track record of shipping and operating production systems end to end.
• Hands-on experience with real-time or streaming audio and data pipelines (e.g., WebRTC, gRPC streaming, Kafka, or similar).
• Practical experience with speech-to-text, NLP, or applied machine learning models, whether integrating third-party APIs (e.g., Whisper, Deepgram, Azure Speech) or fine-tuning your own.
• Strong backend engineering skills in a language such as Python, Go, or Java, and comfort working across the stack when needed.
• A demonstrated preference for hands-on building over pure architecture or process; you would rather prototype and learn than spend weeks in design docs.
• Experience working in a small, fast-moving team where roles overlap and everyone pitches in outside a narrow job description.
• Familiarity with cloud infrastructure (AWS, Azure, or GCP) and containerized deployment (Docker, Kubernetes).
• Clear written and verbal communication, and comfort collaborating directly with clinical or non-technical stakeholders.

Preferred Qualifications

• Experience in healthcare technology, clinical documentation, or ambient/voice AI products specifically.
• Familiarity with HIPAA, SOC 2, or other healthcare and security compliance frameworks.
• Experience with LLM-based summarization or structured data extraction from unstructured text.
• Background in audio signal processing or acoustics.

Physical Requirements

• 90% Desk work
• 10% Remote travel to client sites, conferences, or internal team meetings

#LI-GF1 #LI-Remote

Benefits

• Competitive compensation, with a base salary of $140,000 - $160,000 (Exact compensation may vary based on skills and experience)
• Eligible for a Discretionary Performance-based bonus
• Medical, dental, and vision insurance
• 401K eligible after 3 months of employment, with 50% company match up to first 5% of salary contributed to the plan with a 3-year vesting schedule
• HSA for eligible employees enrolled in the HDHP, with a generous company contribution up to $500 for individual coverage and $1000 for family coverage per year
• 100% company paid short and long-term disability, AD&D, and group life insurance
• Accrued annual paid time off (PTO) of 18 days for the first 3 years of service, increasing thereafter and 7 paid holiday days
• Employee Assistance Program
• Continuing Education funds up to $1500 annually for eligible programs after 1 year of service
• Voluntary benefits including FSA, Hospital indemnity, Accident and Critical Illness insurances

DrFirst is committed to being a Remote-First company, creating a dynamic and flexible workplace where everyone thrives, no matter where they log in from. Check out our approach to remote work: https://drfirst.com/company/about-us/careers/.

Our recruitment process at DrFirst is straightforward and secure. You will only be contacted by our recruitment team through an official @drfirst.com email address. We will never ask you for payment or sensitive personal information, such as your social security number or banking details, at any stage of the hiring process. Additionally, we will not request that you purchase equipment or accept e-checks or checks for deposit. If you encounter any communications claiming to be from DrFirst that seem suspicious, please contact our recruitment team directly at [e-mail] to verify the message’s authenticity. Your security is important to us!

Learn more about our benefits and professional development opportunities: https://drfirst.com/company/about-us/careers/the-perks/.