Senior Software Engineer, Artificial Intelligence

Location: United States

Department: Engineering

Location Type: REMOTE

Employment Type: FULL_TIME

About the Role

What You'll Do

• Designing, building, and optimizing LLM applications (e.g., RAG, classification, summarization).
• Prototyping and productionizing ML and AI features in Python, integrating them with backend services.
• Partnering with product and medical teams to develop appropriate safeguards and business constraints for AI outputs.
• Collaborating with engineering to develop APIs for LLM applications used by other product components.
• Creating automated evaluations to measure the accuracy and performance of LLM-powered systems.
• Maintaining and improving existing NLP and AI diagnosis production components.
• Developing analytics to monitor system performance and prioritize improvements.
• Deploying AI services end-to-end in cloud-native environments using AWS and Kubernetes.
• Staying on the cutting edge by researching and testing new AI tools, APIs, and architectures.
• Contributing to our conversational AI strategy and helping shape the future of healthcare AI.

Why You Might Be a Good Fit

• You care deeply about the mission: You are passionate about deploying technology that empowers patients to engage with healthcare in their preferred language and format.
• You're an autonomous problem solver: You excel at breaking down complex problems in the AI space and finding effective solutions, operating with autonomy and ownership.
• You’re a leader in your field: You stay current on machine learning, foundation models, and algorithms related to text and text-to-speech technologies.
• You value robust and responsible AI: You're committed to building robust testing and monitoring pipelines that provide insight into real-time performance, and you are dedicated to developing safeguards for responsible AI use.
• You thrive on collaboration: You enjoy working cross-functionally across teams, integrating AI use cases into products by understanding their APIs and data systems.
• You're a clear communicator: You're skilled at communicating complex ideas clearly to both technical and non-technical audiences.

This Might Not Be The Right Fit If...

• You prefer a role that is focused purely on research rather than hands-on, production-level engineering and deployment.
• You are not comfortable with the ambiguity and fast-paced nature of developing cutting-edge AI systems from the ground up.
• You prefer to work in a silo rather than collaborating closely with product, medical, and other engineering teams.
• You are not passionate about the specific application of AI to solve real-world problems in the healthcare industry.

Your Qualifications

• A bachelor's degree in a related field is preferred, but not required.
• 5+ years of experience in software engineering or applied machine learning, with a strong focus on building real-world AI/ML systems.
• Proficiency in backend development using Python (Flask or FastAPI), and 3+ years of hands-on experience with LLMs and LLM agents.
• Core Competencies:
  • Solid understanding of embeddings and embedding databases.
  • Experience in NLP or speech processing technologies.
  • Familiarity with modern AI/ML frameworks and tools (e.g., Hugging Face, OpenAI API, LangChain, LangGraph).
  • Experience building and deploying cloud-native applications on AWS with Kubernetes and container tools.
  • Demonstrated ability to bring models from research to production, solving for latency, scale, and reliability.
  • Effective communication skills and the ability to work across disciplines in a fast-paced, agile environment.

Bonus Points

• Experience with conversational agents, or real-time voice communication (e.g., WebRTC, telephony), ASR, TTS, or voice assistants.
• Prior work on multimodal AI interfaces or agent-based dialogue systems.
• Experience hosting, scaling, and fine-tuning open-source models.
• A passionate interest in improving healthcare access and outcomes through applied AI.

The national pay range for this role is $150,000.00 - $175,000.00 per year. Actual compensation will be determined by factors such as the candidate's geographic market, experience, skills, and qualifications. Certain roles may also be eligible for additional compensation, including a comprehensive benefits package such as medical, dental, vision, unlimited PTO, and a 401(k) plan, stock options and bonuses. If your compensation requirement is greater than our posted range, please still consider applying; a determination can be made based on unique qualifications. Expected compensation ranges for this role may change over time.