Ellipsis Health

Role Description Ellipsis Health is creating cutting-edge AI/ML products that solve healthcare staffing challenges and administrative burdens using conversational AI and our patented voice biomarker technology - helping deliver better healthcare for everyone. We are currently looking for an experienced Senior Data Platform Engineer, with significant experience in building, scaling, and optimizing modern data platforms across public cloud environments. We are located in the San Francisco Bay Area, but we are open to remote candidates for this role anywhere in the US. - Lead the design, development, and operation of a scalable and secure data platform to support analytics, ML Ops, and business intelligence - Collaborate closely with Data Science, Machine Learning, Application and DevOps teams to implement end-to-end ML Ops pipelines - Architect and manage data warehousing solutions using Databricks, Dbt, and Spark - Develop and maintain ETL/data pipelines that handle structured and unstructured data across diverse sources - Optimize data storage, access, and processing for cost-efficiency and performance in GCP and AWS Cloud environments - Build and maintain dashboards and analytics solutions using tools such as Sigma, Metabase, and other BI platforms - Ensure compliance with data governance, security, and privacy best practices, including HIPAA, SOC-2, and other regulatory requirements - Evaluate and integrate third-party anonymization and security solutions to protect sensitive data - Provide strategic guidance on the evolution of the data platform to meet the company's growth and technical needs - Design and implement scalable infrastructure for Large Language Model (LLM) operations, including training, fine-tuning, and inference workflows - Collaborate with AI/ML teams to build and optimize LLM serving platforms for real-time and batch processing - Develop monitoring and observability solutions for LLMs, ensuring model performance, cost-efficiency, and compliance with ethical AI guidelines - Evaluate and integrate state-of-the-art LLM technologies into existing data platforms to enhance analytics and decision-making Qualifications - Bachelor's or Master's Degree in Computer Science or equivalent experience - 5+ years of industry experience in designing and building large-scale data platforms - Strong expertise in SQL, Data Modeling, and Data Warehousing (Databricks, Snowflake, Redshift, BigQuery, etc.) - Proficiency in writing Advanced SQLs and performance tuning - Strong proficiency in Python for building, optimizing, automating and maintaining data pipelines and services - Deep experience with Apache Spark and distributed data processing frameworks - Hands-on experience with modern ETL/Orchestration frameworks such as Airflow, dbt, and others - Knowledge of business intelligence tools such as Sigma, Metabase, Tableau, and Looker - Strong familiarity with cloud-based infrastructure and managed data services in GCP and AWS Cloud - Experience with CI/CD pipelines to automate testing, deployment and release of data engineering and analytics workflows using GitLab, GitHub etc - Experience with tools like Kubernetes, Terraform, Pubsub, Debezium - Exposure building data quality frameworks and automation - Understanding of data governance, privacy, and regulatory frameworks (HIPAA, SOC-2, HITRUST) Requirements - Experience working with ML Ops platforms and supporting Data Science teams - Experience with ML Ops tools such as MLflow, Streamlit, and vector databases - Familiarity with healthcare data standards (FHIR, HL7) - Experience in real-time data processing and event-driven architectures - Expertise in implementing data access controls and anonymization techniques Benefits - Competitive salary and benefits, including 401(k) matching - Health, vision, and dental insurance - Very flexible paid time off - The typical salary range for this role is $150,000 to $170,000 USD, depending on skills, qualifications, and relevant experience Background Checks As a health technology company, we reserve the right to run background checks on candidates to whom we extend offers, in compliance with applicable laws. We evaluate candidates holistically and comply with all “ban the box” regulations. Assistance If you have a disability or require accommodations during the application or recruitment process, please contact careers@ellipsishealth.com .

Role Description As a Forward Deployed QA Engineer, you will occupy a critical, high-impact role dedicated to ensuring the reliability, stability, and quality of our core conversational AI product, Sage, across diverse client workflows. This role bridges the gap between Quality Assurance, AI Engineering, and Production Operations. You will focus heavily on automated testing, prompt engineering validation, and rapid root cause analysis (RCA) of Large Language Model (LLM)-driven behaviors in fast-paced, real-world deployments. - Workflow Mapping & Test Case Generation: Deeply analyze assigned client workflows to design robust, comprehensive positive and negative test cases that safeguard system stability. - AI-Driven Test Automation: Build and execute automated test scenarios by configuring shadow agents. - Prompt Evaluation & Optimization: Apply a strong understanding of prompt awareness to draft, refine, and evaluate prompts used within the testing framework to accurately simulate user behaviors and edge cases. - End-to-End Testing Execution: Strategically deploy specific testing methodologies including Sanity, Smoke, Regression, and Functional testing - determining the exact environment (staging, pre-production, production) and timing for each execution. - Deployment Cadence & Cross-Functional Collaboration: Partner closely with engineering teams during release cycles to proactively identify, triage, and unblock technical roadblocks, ensuring the product is continuously deployment-ready. - Daily LLM Defect RCA: Perform rigorous, daily root cause analysis on LLM-specific failures inherent to generative AI, including hallucinations, high latency, and logic deviations. - Live Production Call Debugging: Investigate live customer calls and production incidents in real time to unblock critical production use cases. - Audio & Transcription Validation: Query and analyze historical call transcripts, system behaviors, and audio data pipelines to pinpoint where a conversational workflow broke down. - Speech-to-Speech (S2S) Pipeline Monitoring: Monitor and evaluate the end-to-end voice AI pipeline, analyzing Automatic Speech Recognition (ASR) accuracy, managing audio-to-text latency issues, and understanding general Speech-to-Speech mechanics alongside the stability of the core Knowledge Base feeding the AI. - Advanced Evaluation Frameworks: Maintain a strong conceptual understanding of advanced LLM evaluation paradigms and tools such as LLM-as-a-judge to remain aware of how AI response quality and accuracy are programmatically graded at scale. - Telephony & Call Flow Awareness: Possess a foundational understanding of real-world call management and telephony routing concepts, including how the system is expected to navigate warm transfers, blind transfers, and voicemail detection workflows. Qualifications - Experience in QA Engineering: Strong background in software quality assurance, with a proven track record of designing, executing, and managing end-to-end test strategies (Smoke, Sanity, Regression, Functional). - LLM & Generative AI Expertise: Hands-on experience or deep technical familiarity with troubleshooting LLM behaviors, diagnosing hallucinations, managing latency, and using LLM call-tracing tools. - Technical & Logging Proficiency: Ability to comfortably write SQL queries (specifically PostgreSQL) to pull data logs and navigate cloud infrastructure logs (such as GCP) to perform rapid root-cause analysis. - Voice & Conversational AI Domain Knowledge: Foundational understanding of Speech-to-Speech pipelines, including Automatic Speech Recognition (ASR), audio-to-text workflows, and core knowledge base integrations. - Telephony Foundations: Basic familiarity with enterprise telephony routing, call management mechanics (warm/blind transfers), and voicemail detection systems. - Client-Facing Capability: Strong communication skills and the professional agility required to manage UAT timelines, coordinate with client stakeholders, and support rapid production deployments. Benefits - Competitive salary and benefits. - 401(k) matching. - Health, vision, and dental insurance. - Very flexible paid time off. - Typical salary range for this role is $120,000 to $140,000 USD, depending on skills, qualifications, and relevant experience. Background Checks As a health technology company, we reserve the right to run background checks on candidates to whom we extend offers, in compliance with applicable laws. We evaluate candidates holistically and comply with all “ban the box” regulations. Assistance If you have a disability or require accommodations during the application or recruitment process, please contact careers@ellipsishealth.com .

Role Description We are seeking a Senior SDET with strong expertise in Salesforce quality engineering to drive automation, data validation, and end-to-end testing across complex workflows and integrations. This role requires deep experience in test automation, CI/CD integration, and Agile development, and will be instrumental in delivering high-quality, scalable applications. Key Responsibilities: - Design, build, and maintain scalable automated test frameworks for functional, regression, and integration testing using Selenium, Playwright, or similar tools - Develop and execute automated test scripts for Salesforce applications, including custom objects, workflows, validation rules, and Lightning Web Components (LWC) - Validate end-to-end business workflows, including Apex-driven logic, integrations, and data flows - Integrate automated test suites into CI/CD pipelines to enable continuous testing and faster release cycles - Validate Salesforce API integrations (REST/SOAP) and ensure data integrity across systems - Identify, document, and track defects using Jira (or similar tools), and partner with engineering to ensure timely resolution - Create and maintain test plans, test data strategies, and reusable QA assets to improve coverage and efficiency - Participate actively in Agile ceremonies (sprint planning, stand-ups, retrospectives) and contribute to quality-focused discussions - Collaborate with Product, Engineering, and DevOps teams to triage issues, prioritize defects, and assess release risks Qualifications - 5+ years of experience in SDET / QA Automation roles with strong exposure to Salesforce-based applications - Strong expertise in test automation using Selenium, Playwright, Cucumber, or similar frameworks (Java or Python preferred) - Experience testing Salesforce customizations, including Apex, LWC, Visualforce, Flows, and security models - Deep understanding of Salesforce data architecture (standard & custom objects, relationships) with hands-on experience writing and validating queries using SOQL - Experience validating complex data models and ensuring data integrity across systems and integrations - Experience integrating automated test suites into CI/CD pipelines - Experience testing web service integrations (REST/SOAP) using tools like Postman or SoapUI - Strong understanding of Agile development processes and QA best practices - Proven ability to design test strategies, test plans, and scalable QA processes - Excellent communication and cross-functional collaboration skills Requirements - Nice to Have: - Experience with Salesforce Health Cloud - Experience in healthcare or medical applications, especially care workflows or patient engagement systems - Familiarity with AI/LLM-powered features and approaches to testing AI-driven workflows Benefits - Competitive salary of $140-$160k - 401k that matches up to 4% of your salary - Health, vision, and dental insurance - Very flexible paid time off Background Checks As a health technology company, we reserve the right to run a background check on any applicant to which we extend an offer and to re-perform any such check at any time during the course of employment. Please know that there is no set policy on rejecting candidates due to certain background check results, and that we consider a candidate as a whole before making any decisions. We comply with all “ban the box” laws in applicable jurisdictions. Assistance If you have a disability or otherwise require any assistance whatsoever in the application or recruitment process, please feel free to submit a request to careers@ellipsishealth.com .

Role Description Ellipsis Health is developing cutting-edge AI/ML products to address healthcare staffing issues and administrative burdens. The platform employs conversational AI and patented vocal biomarker technology to deliver improved healthcare experiences for clients and patients. The team is headquartered in Silicon Valley and is funded and supported by preeminent venture capital groups and healthcare institutions. The organization is open to remote candidates for this role. - Expand and maintain our real-time voice pipeline: design, implement, and maintain Python micro-services for conversational AI orchestration—audio capture, streaming transcription, prompt/LLM logic, synthesis, and playback. - Integrate new providers & transports: add plug-ins for emerging ASR, TTS, LLM, and memory services; wire up WebRTC, SIP, or phone endpoints; build adapters that allow hot-swapping components without downtime. Build API endpoints. - Deliver ultra-low latency (<500 ms round-trip): profile async pipelines (asyncio, FastAPI, gRPC), optimize buffering, concurrency, and back-pressure handling. - Instrument & observe every hop: emit structured traces (OpenTelemetry), metrics, and logs for each pipeline stage; define SLOs for first-token latency, end-to-end latency, and streaming reliability. - Harden for production: implement graceful retries, idempotent message passing, circuit breakers, and HIPAA-compliant security (encryption in transit, per-tenant isolation, secrets rotation). - Collaborate cross-functionally with ML, product, data engineering, and client-SDK teams to deliver features such as voice cloning, multimodal hand-offs, and domain-specific memory retrieval. Qualifications - 4+ years building production back-ends in modern Python. - Proven experience with real-time streaming systems—WebRTC, WebSockets, or gRPC streaming—and proficiency with asyncio, FastAPI, or similar async frameworks. - Deep understanding of concurrency, buffering, audio codecs (Opus, PCM), and distributed tracing. - Solid understanding of AWS/GCP/Azure, including container orchestration (Kubernetes/EKS/GKE), message queues (Kafka/SQS/Pub/Sub), and IaC (Terraform). - Solid grasp of relational (PostgreSQL) and in-memory (Redis) data stores; able to model and persist conversational state. - Excellent communication skills and a bias for measured, observable, and continuously deployable software. Requirements - B.S./M.S. in CS, EE, or related fields (Bonus Points). - Familiarity with voice-agent frameworks (Bonus Points). - Hands-on with telephony (Twilio, Telnyx), SIP, or PSTN integrations (Bonus Points). - Experience integrating multimodal inputs (vision, text chat) into voice agents (Bonus Points). - Familiarity with GPU inference and streaming pipelines (Bonus Points). - Prior work in regulated industries (healthcare, finance) and comfort preparing for SOC 2 / HIPAA audits (Bonus Points). Benefits - Competitive salary and benefits. - 401k matching up to a certain percentage of your salary. - Health, vision, and dental insurance. - Very flexible paid time off. - The typical salary range for this role is $175,000 to $250,000 USD.

Role Description We are seeking a Senior Full Stack Engineer to help design, build, and scale the core systems powering our conversational AI platform. In this role, you will work across backend services and frontend applications, collaborating closely with AI/ML engineers, product managers, designers, and other engineers to deliver secure, reliable, and user-friendly solutions for the healthcare industry. - Design, develop, and maintain end-to-end features across TypeScript-based backend services and modern frontend applications - Architect and implement scalable APIs and microservices using TypeScript to support conversational AI workflows and healthcare integrations - Build and evolve frontend user interfaces using React and Redux, focusing on usability, performance, and reliability - Own services in production end-to-end, including deployment, monitoring, incident response, and continuous improvement of reliability and performance - Lead the design and implementation of database schemas and data pipelines for structured and unstructured healthcare data - Design and maintain secure integrations with healthcare systems, scheduling systems, and external platforms - Implement and manage authentication and authorization across systems - Integrate and manage identity and access management solutions such as Zitadel - Ensure security, privacy, and compliance (HIPAA, FHIR, and related standards) across the full stack - Optimize systems for performance, reliability, and scalability, supporting high-volume, real-time workloads - Build and maintain CI/CD pipelines, infrastructure automation, and observability for production services - Troubleshoot and resolve complex production issues; participate in on-call or production support rotations as needed - Mentor junior engineers and contribute to engineering best practices, code quality, and architectural standards - Stay current with emerging technologies and frameworks, applying them thoughtfully to improve product velocity and quality Qualifications - Bachelor’s or Master’s degree in Computer Science or equivalent practical experience - 5+ years of professional experience building full-stack applications with strong TypeScript/JavaScript expertise - Strong proficiency in TypeScript/JavaScript for backend and API development - Experience building frontend applications using React and state management libraries such as Redux - Expertise in designing and consuming RESTful APIs and/or GraphQL - Solid understanding of microservices architectures, distributed systems, and system design - Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerized deployments (Docker, Kubernetes) - Strong database skills with SQL and NoSQL systems (e.g., PostgreSQL, MongoDB, DynamoDB) - Deep understanding of security best practices, authentication/authorization, and secure data handling - Experience building and maintaining CI/CD pipelines and production monitoring/alerting systems - Excellent collaboration and communication skills in cross-functional teams Requirements - Experience implementing role-based access control (RBAC) and fine-grained permission systems - Familiarity with identity providers and access management platforms such as Zitadel, Auth0, or similar - Familiarity with healthcare data standards such as FHIR and HL7 - Experience with conversational AI, voice systems, or real-time systems - Prior experience working in health tech or other regulated industries - Experience building or operating large-scale distributed systems - Exposure to DevOps practices, infrastructure-as-code, or site reliability engineering concepts Benefits - Competitive salary and benefits - 401(k) matching - Health, vision, and dental insurance - Very flexible paid time off - Typical salary range: $160,000 to $210,000 USD, depending on skills, qualifications, and relevant experience Background Checks As a health technology company, we reserve the right to run background checks on candidates to whom we extend offers, in compliance with applicable laws. We evaluate candidates holistically and comply with all “ban the box” regulations. Assistance If you have a disability or require accommodations during the application or recruitment process, please contact careers@ellipsishealth.com .

Role Description We are seeking a Senior Software Development Engineer in Test with strong experience in both functional testing and test automation for commercial-grade data products leveraging Machine Learning and GenAI. This role requires a hands-on engineer who can validate complex data workflows end-to-end while also building scalable automation to improve coverage and efficiency. You will collaborate closely with ML, Data, and Engineering teams to ensure the reliability, scalability, and performance of our healthcare platform, built using Databricks, DBT, PostgreSQL. - Perform both manual (functional) testing and automation for data pipelines, APIs, and AI-driven workflows - Understand business logic using SQL and scripting (e.g., Python) to design comprehensive test scenarios - Design, develop, and execute functional test plans, test cases, and test scripts for ETL pipelines, ensuring data accuracy, integrity, and completeness - Build and maintain automation frameworks for ETL, API, and workflow testing to improve coverage and efficiency - Validate data transformations, mappings, and data loads across all stages of the ETL lifecycle - Perform data validation and reconciliation between source systems, staging layers, and target data stores - Conduct manual validation for critical workflows and edge cases where automation is not sufficient - Identify, document, and track defects; collaborate closely with engineering teams to resolve issues - Conduct root cause analysis for data discrepancies and contribute to quality metrics and reporting - Participate in Agile ceremonies, providing QA input during sprint planning, grooming, and retrospectives - Lead functional validation efforts and support test environment setup for data pipelines and workflows - Work with cross-functional teams and external partners to validate integrations with healthcare data platforms - Support production releases, hotfix validation, and post-deployment verification, ensuring minimal impact to customers - Collaborate with Implementation/Onboarding teams to triage production data issues and improve test coverage - Validate healthcare-specific data models for compliance with regulatory and business requirements Qualifications - 5+ years of experience in SDET or QA roles with a strong mix of functional testing and automation - Strong understanding of ETL testing, data validation, and data quality assurance practices - Proficiency in SQL for data validation, reconciliation, and test design - Hands-on experience with Databricks, Apache Spark, or similar data platforms - Experience with DAG/workflow orchestration tools such as Apache Airflow or Databricks Workflows - Experience building and maintaining test automation frameworks (e.g., Playwright, Cypress, Selenium) - Experience with API testing tools such as Postman, RestAssured, or similar - Strong knowledge of QA methodologies, test design techniques, and defect tracking processes - Experience working in Agile/Scrum environments - Experience testing systems that incorporate Machine Learning models, Speech-to-Text, or Text-to-Speech systems - Strong analytical and problem-solving skills with attention to detail - Excellent communication and collaboration skills - Experience creating test plans, test strategies, and quality processes for data/ETL releases - Basic understanding of LLMs and AI-driven features, including how to test them effectively Requirements - Experience in healthcare or regulated environments, especially with ETL workflows - Knowledge of healthcare data standards such as HIPAA, HL7, or FHIR - Strong experience with PostgreSQL and database testing for reporting and ETL validation - Familiarity with cloud data platforms such as Snowflake, Redshift, or BigQuery - Exposure to monitoring and logging tools like Splunk, Datadog, or similar - Experience with data visualization tools like Tableau, Power BI, or Looker for validating reporting layers - Experience using scripting (e.g., Python, Shell) for automation and data validation - Familiarity with testing considerations for LLMs and GenAI systems Benefits - Competitive salary of $140-$160k - 401k that matches up to 4% of your salary - Health, vision, and dental insurance - Very flexible paid time off Background Checks As a health technology company, we reserve the right to run a background check on any applicant to which we extend an offer and to re-perform any such check at any time during the course of employment. Please know that there is no set policy on rejecting candidates due to certain background check results, and that we consider a candidate as a whole before making any decisions. We comply with all “ban the box” laws in applicable jurisdictions. Assistance If you have a disability or otherwise require any assistance whatsoever in the application or recruitment process, please feel free to submit a request to careers@ellipsishealth.com.

Role Description We are seeking a Senior Backend Engineer to help design, build, and scale the core systems powering our conversational AI platform. In this role, you will work across backend services, APIs, and orchestration layers, collaborating closely with AI/ML engineers, product managers, and other engineers to deliver secure, reliable, and scalable solutions for the healthcare industry. - Architect, develop, and maintain robust, scalable APIs and microservices using TypeScript (Node.js) to support conversational AI workflows - Design, build, and manage orchestration services that coordinate workflows across AI systems, APIs, and external integrations - Optimize back-end systems for high performance, reliability, and scalability - Ensure secure and compliant integration with healthcare systems (e.g., EHRs, scheduling systems) while adhering to standards like HIPAA and FHIR - Collaborate with the AI team to deploy and manage conversational AI and NLP workflows in production environments - Design and implement database schemas and data pipelines for structured and unstructured healthcare data - Build and maintain CI/CD pipelines to streamline deployments and ensure high availability - Troubleshoot and resolve complex back-end issues with a focus on reliability and uptime - Mentor junior developers and contribute to a high-quality engineering culture - Stay ahead of industry trends and introduce technologies that improve platform performance and scalability Qualifications - 5+ years of experience in back-end development with a proven track record of building secure and scalable systems - Strong proficiency in TypeScript and Node.js for API and service development - Expertise in RESTful API and/or GraphQL development - Experience building orchestration layers / workflow engines for distributed systems - Deep understanding of microservices architecture and distributed systems - Hands-on experience with cloud platforms (e.g., AWS, GCP, or Azure) and container orchestration (e.g., Kubernetes) - Strong database design and management experience (SQL and NoSQL), including PostgreSQL, MongoDB, or DynamoDB - Solid understanding of security best practices, including authentication, authorization, encryption, and secure data handling - Experience building and managing CI/CD pipelines - Own services in production end-to-end, including deployment, monitoring, incident response, and continuous improvement of reliability and performance Requirements - Experience integrating with Epic EHR, including SMART on FHIR, Epic APIs, or Epic App Orchard. - Familiarity with healthcare data standards such as FHIR and HL7. - Experience with conversational AI, voice systems, or NLP technologies. - Prior experience working in health tech or other regulated industries. - Experience building or operating large-scale distributed systems. - Exposure to DevOps practices, infrastructure-as-code, or site reliability engineering concepts. Benefits - Competitive salary and benefits, including 401(k) matching - Health, vision, and dental insurance - Very flexible paid time off - The typical salary range for this role is $160,000 to $210,000 USD, depending on skills, qualifications, and relevant experience Background Checks As a health technology company, we reserve the right to run background checks on candidates to whom we extend offers, in compliance with applicable laws. We evaluate candidates holistically and comply with all “ban the box” regulations. Assistance If you have a disability or require accommodations during the application or recruitment process, please contact careers@ellipsishealth.com .