\nThreeFlow is looking for teammates who are naturally curious and love to ask questions, even when it means questioning industry standards. We cultivate an inclusive culture where everyone can contribute, grow, and feel valued.\n\nAs part of our post-Series C growth, we’re excited to add an AI Engineer to our data analytics engineering team of seven. As an AI Engineer at ThreeFlow, you will collaborate with a dedicated team of engineers and product leaders to revolutionize the insurance industry through innovative AI applications and our proprietary data set. \n\nThis position reports to the Director of Data & AI and is based remotely within the US. Candidates must be available to work EST hours.\nOur tech stack\n\n\n* \n\nAWS Lambda, Step Functions, Bedrock, EC2, S3, Docker\n\n\n* \n\nPython, R, Mlflow\n\n\n* \n\nPostgreSQL, dbt, BigQuery, Looker, Stitch\n\n\n\n\nAbout the role\n\n\n* \n\nHelp develop and deploy enterprise-scale LLM and ML solutions to optimize core business processes\n\n\n* \n\nPrimarily develop, test, deploy, and monitor serverless applications (e.g., AWS Lambda) to support various data processing and analytics tasks\n\n\n* \n\nLeverage orchestration tools (e.g., AWS Step Functions) to coordinate complex workflows and integrate multiple services\n\n\n* \n\nCollaborate with cross-functional teams to design and help implement scalable AI models and solutions\n\n\n* \n\nContinuously monitor and optimize AI models to improve performance and accuracy\n\n\n\n\nAbout you\n\n\n* \n\nExtensive experience in Python development, with a focus on productionalizing LLM and machine learning applications\n\n\n* \n\nStrong expertise in developing and deploying LLM solutions\n\n\n* \n\nIn-depth knowledge of various machine learning techniques and their real-world applications\n\n\n* \n\nProficiency in AWS services, especially Lambda and Step Functions; experience with deploying them via IaC\n\n\n* \n\nStrong understanding of CI/CD pipelines and best practices in software development\n\n\n* \n\nExcellent written and verbal communication skills for effective cross-team collaboration in a fully remote environment\n\n\n* \n\nExperience evaluating model performance is a plus\n\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python and Engineer jobs that are similar:\n\n $60,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nChicago, Illinois, United States

How you will help\nAt HealthVerity, privacy is at the forefront of our platform. As a Software Engineer on the Privacy Engineering team, you will support and extend the core technologies that preserve the privacy of patient and consumer data across a number of HealthVerity’s products and services. You will improve the core algorithms that power our patient de-identification and linkage technology. You will extend our blockchain-based consent management solution, ensuring the highest standards of data integrity and governance. You will help to optimize a secure multiparty computing solution that links millions of rows of healthcare and consumer data. \n\nWhat you will do\n• Work with key stakeholders to refine requirements and eliminate ambiguity\n• Design, discuss, implement, and ship features extending Python-based services deployed to AWS\n• Spearhead greenfield projects, leveraging the latest cloud technologies to solve novel business problems\n• Work alongside a team of developers, reviewing code and discussing technical approaches to challenging problems with large organizational impact\n• Hone your skills and grow as an engineer, sharing your expertise with your team and the organization at large\n\nOur tech stack\nThe Privacy team leverages the following technologies in our day-to-day development process:\nPython, Cython, Java, Go, Serverless Framework, AWS Lambda, AWS EC2, AWS S3, AWS Aurora, AWS DynamoDB, AWS Elasticache, Hyperledger Fabric, ZeroMQ\n\nYou are...\n• Up to date on best practices and standards associated with Python and AWS products\n• A strong communicator that works well in a collaborative environment\n• Passionate about delivering quality solutions\n• A cloud-native developer who leverages the latest cloud technologies \n• Focused on creating remarkable experiences for users\n\nDesired skills and experience\n• 3+ years Python experience\n• Recent experience with AWS (Lambda, S3, Aurora)\n• Familiarity with microservice design patterns\n• Collaborative with an Entrepreneurial spirit\n• Bonus: Familiar with continuous integration and continuous deployment technologies\n\nAbout HealthVerity\nPharmaceutical manufacturers, payers and government organizations have partnered with HealthVerity to solve some of their most complicated use cases through transformative technologies and real-world data infrastructure. The HealthVerity IPGE platform, based on the foundational elements of Identity, Privacy, Governance and Exchange, enables the discovery of RWD across the broadest healthcare data ecosystem, the building of more complete and accurate patient journeys and the ability to power best-in-class analytics and applications with flexibility and ease. Together with our partners, HealthVerity has built the modern way to data for the health insights economy. To learn more about the HealthVerity IPGE platform, visit www.healthverity.com.\n\nOur company challenges\n• Empowering clients with highly rewarding data discovery and licensing tools\n• Ingesting and managing billions of healthcare records from a wide variety of partners\n• Standardizing on common data models across data types\n• Orchestrating an industry-leading HIPAA privacy layer\n• Innovating our proprietary de-identification and data science algorithms\n• Building a culture that supports rapid iteration and new possibilities\n\nWe have big plans\nThe infrastructure and culture we are building will provide an environment that cultivates innovation. We want to move fast knowing we can fix anything we break along the way. If a new need arises, we want to turn around a solution quickly. We want to solve our challenges in ways that create even more possibilities. We’ve created a platform that will scale to support an ever-growing array of data providers and innovative products and services. You must be able to think big while still delivering on near-term requirements.\n\nWe pride ourselves on ensuring that each team member at HealthVerity feels connected, validated and heard. From Philadelphia to Manhattan Beach, our success is driven by recognizing that a team is made up of individuals. We offer a robust set of benefits and perks to everyone. View details on our careers page.\n\nHealthVerity is an equal opportunity employer devoted to inclusion in the workplace. We believe incorporating different ideas, perspectives and backgrounds make us stronger and encourages an environment where ageism, racism, sexism, ableism, homophobia, transphobia or any other form of discrimination are not tolerated. At HealthVerity, we’re working towards an innovative and connected future for healthcare data and believe the future is better together. We can only do that if everyone has a seat at the table. Read our Equity Inclusion and Diversity Statement.\n\nIf you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to [email protected]\n\nHealthVerity offers in-office and remote options, so you can work from anywhere within the US! #LI-Remote \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Serverless, Cloud, Python and Engineer jobs that are similar:\n\n $75,000 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nRemote

How you will help\nAs a Software Engineer on the Data Transmission Engineering team, you will develop and maintain the services and tools powering HealthVerity’s data pipelines. This includes the ingestion of raw data into our petabyte sized warehouse -- all the way to the delivery of cleaned, de-identified and linked data to our clients. You will interact with internal teams to create applications they can use and software that empowers HealthVerity to process and deliver terabytes of data at a time.\n\nWhat you will do\n• Develop services that facilitate ingestion, storage, and extraction of data throughout HealthVerity’s data ecosystem\n• Design and build APIs that support data pipelines\n• Build applications that enable internal teams to configure data pipelines\n• Build tools that will orchestrate and automate data pipelineWork collaboratively with a team of driven engineers, engaging in paired programming and code reviews\n• Improve the software development process through agile ceremonies\n\nOur tech stack\nThe Delivery team leverages the following technologies in our day-to-day development process:\nPython, Serverless Framework, Postgres, React, AWS Lambda, AWS ECS, AWS SNS/SQS, AWS Eventbridge, AWS Elasticsearch, Spark, Hive, Airflow\n\nYou are...\n• A team player who thrives in a collaborative environment\n• Passionate about learning new technologies\n• Excited about working with large amounts of data\n• Skilled at building robust data pipelines\n• Knowledgeable in cloud services, especially AWS \n\nDesired skills and experience\n• 3+ years of Python experience \n• 1+ years of AWS experience \n• Familiarity with React, or similar frameworks\n• Knowledge of data pipelines, including experience with Airflow\n• Bonus: Experience with serverless framework\n\nAbout HealthVerity\nPharmaceutical manufacturers, payers and government organizations have partnered with HealthVerity to solve some of their most complicated use cases through transformative technologies and real-world data infrastructure. The HealthVerity IPGE platform, based on the foundational elements of Identity, Privacy, Governance and Exchange, enables the discovery of RWD across the broadest healthcare data ecosystem, the building of more complete and accurate patient journeys and the ability to power best-in-class analytics and applications with flexibility and ease. Together with our partners, HealthVerity has built the modern way to data for the health insights economy. To learn more about the HealthVerity IPGE platform, visit www.healthverity.com.\n\nOur company challenges\n• Empowering clients with highly rewarding data discovery and licensing tools\n• Ingesting and managing billions of healthcare records from a wide variety of partners\n• Standardizing on common data models across data types\n• Orchestrating an industry-leading HIPAA privacy layer\n• Innovating our proprietary de-identification and data science algorithms\n• Building a culture that supports rapid iteration and new possibilities\n\nWe have big plans\nThe infrastructure and culture we are building will provide an environment that cultivates innovation. We want to move fast knowing we can fix anything we break along the way. If a new need arises, we want to turn around a solution quickly. We want to solve our challenges in ways that create even more possibilities. We’ve created a platform that will scale to support an ever-growing array of data providers and innovative products and services. You must be able to think big while still delivering on near-term requirements.\n\nWe pride ourselves on ensuring that each team member at HealthVerity feels connected, validated and heard. From Philadelphia to Manhattan Beach, our success is driven by recognizing that a team is made up of individuals. We offer a robust set of benefits and perks to everyone. View details on our careers page.\n\nHealthVerity is an equal opportunity employer devoted to inclusion in the workplace. We believe incorporating different ideas, perspectives and backgrounds make us stronger and encourages an environment where ageism, racism, sexism, ableism, homophobia, transphobia or any other form of discrimination are not tolerated. At HealthVerity, we’re working towards an innovative and connected future for healthcare data and believe the future is better together. We can only do that if everyone has a seat at the table. Read our Equity Inclusion and Diversity Statement.\n\nIf you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to [email protected]\n\nHealthVerity offers in-office and remote options, so you can work from anywhere within the US! #LI-Remote \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Serverless, Cloud, Python and Engineer jobs that are similar:\n\n $75,000 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nRemote