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Software Engineer - Applied AI

We're looking for a Software Engineer with experience using AI systems who wants to make an impact on our new Automated Intelligence team. We want to make a difference in the lives of those falling between the cracks of the current healthcare system, and could use all the help we can get reimagining last-mile healthcare delivery.


*If you want to tackle tough technical challenges*, we want to talk to you. Health tech is challenging enough on its own, but add in DoorDash-style logistics problems at scale and the constraints of a distributed labor force working in patients’ homes and things get interesting quickly. We need someone to help solve the hard problems like how to:


📝 Synthesize rich, pre-visit clinical summaries for our NPs using LLMs over patient charts

🔍 Uncover care gaps and predict future risk with deep analysis of patient records

📞 Conversational patient support with AI voice assistants to ease visit coordination

🔮 Predict engagement behavior for optimized patient outreach

🤖 Orchestrate multimodal AI agents to streamline patient care navigation 


If any of these sound interesting, Sprinter could be the right place for you. This is your chance to build something truly 0 to 1 at a company with meteoric growth.


Since just 2021, we've grown to:


👥 >50k patients served

🚀 6x revenue growth last year, 5x the year before

🌍 >60% coverage of the US population

🏥 6 of the 10 largest US health plans

🏦 >$70M raised from a16z, General Catalyst, GV, and Accel


*If you want to grow faster than you ever could at a big company*, we want to talk to you. If you're looking to get in at the ground floor of something big, taking on radically larger scope and growing with the company, the best way to do so is with real responsibility to make real decisions. As an engineer at Sprinter, you'll have that while working alongside other engineers and product managers from the likes of Google, Meta, and Amazon. With industry-leading growth to date and plenty of room still to grow, getting in now is a recipe for success.


*If you want to make a difference*, we want to talk to you. Jeffrey Hammerbacher was right: "The best minds of my generation are thinking about how to make people click ads. That sucks." I've done the Google and Facebook thing for a decade. Was it personally rewarding? Absolutely. But now I want to do something more directly for others, which is why I started this company.


If any of this sounds like something you'd want to be a part of, just let me know. I'd really love to chat.


Cameron,

Co-founder / CTO



Software Engineering
  • At least 3 years of full-stack or backend-focused experience
  • Proficiency in Python or JavaScript/TypeScript


AI Experience
  • At least 1 year of professional experience working with LLMs
  • Prompt engineering / evaluation / management
  • Summarization of large document sets
  • Embedding-based search
  • RAG applications
  • Audio generation and conversational AI
  • Agentic applications


Technologies
  • Python and JS/TS
  • LangChain / LangGraph
  • ElasticSearch, pgvector, Pinecone, and other vector databases


The Fun Stuff
  • Free lunch every day and fully-stocked micro-kitchen and coffee/tea bar
  • Team offsites, game hours, tech talks, and design sprints
  • Health insurance benefits (PPO / HMO / HSA, 100% of family premiums paid)
  • Dental / vision / wellness benefits
  • 401k matching
  • Unlimited PTO
  • Flexible work-from-home policy for work/life balance (3 days in-office, accommodation for occasional WFH days)
  • Relocation assistance
  • Generous parental leave (4 months for the birthing parent, 2 months for a partner, 100% paid)


$135,000 - $170,000 a year
The base salary range for this full-time position is $135,000 - $170,000 + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed reflect the base salary only, and do not include equity or benefits

Sprinter Health is an equal opportunity employer. We value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or other protected classes.


If you're looking for a career that offers opportunities for growth, continual development, professional challenge and the chance to make a real difference in the lives of people, apply today!


Beware of recruitment fraud and scams that involve fictitious job descriptions followed by false job offers.


If you are applying for a job, you can confirm the legitimacy of a job posting by viewing current open roles here. All legitimate job postings will require an application to be made directly on our official Sprinter Health Careers website. Job-related communications will only be sent from email addresses ending in @sprinterhealth.com. Please ensure that you’re only replying to emails that end with @sprinterhealth.com.

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$135000K
$170000K

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What You Should Know About Software Engineer - Applied AI, Sprinter Health

Sprinter Health is on the lookout for a talented Software Engineer - Applied AI to join our innovative Automated Intelligence team in Menlo Park, CA! If you're passionate about using AI to tackle real-world challenges in healthcare, this might be the perfect opportunity for you. At Sprinter, we're dedicated to reimagining last-mile healthcare delivery, ensuring that no one falls through the cracks in the current system. Picture yourself working on exciting projects, such as synthesizing pre-visit clinical summaries using large language models (LLMs), predicting patient risks through deep analysis, or creating conversational AI assistants for better patient support. Your work will be pivotal in making healthcare accessible and efficient, delighting both patients and healthcare providers alike. With our rapid growth and commitment to innovative health tech, joining Sprinter now means you'll play a significant role in shaping the future of patient care. You'll collaborate with skilled engineers and product managers from prestigious tech giants, bringing your expertise in Python or JavaScript/TypeScript and your experience in AI to a company that values your contributions. Enjoy the perks of great office culture, generous benefits, and a chance to make a real difference in people’s lives. If you're ready to embrace the challenge and help us further our mission, we'd love to chat with you soon!

Frequently Asked Questions (FAQs) for Software Engineer - Applied AI Role at Sprinter Health
What are the qualifications needed for the Software Engineer - Applied AI position at Sprinter Health?

To qualify for the Software Engineer - Applied AI position at Sprinter Health, candidates should have at least three years of full-stack or backend-focused experience. Proficiency in Python or JavaScript/TypeScript is essential, along with at least one year of hands-on experience working with LLMs, including prompt engineering and summarization of large document sets. Familiarity with technologies such as LangChain, ElasticSearch, and vector databases will also be beneficial.

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What responsibilities does a Software Engineer - Applied AI at Sprinter Health have?

In the Software Engineer - Applied AI role at Sprinter Health, you will be responsible for developing AI systems aimed at enhancing healthcare delivery. This includes synthesizing clinical summaries using large language models, uncovering care gaps through deep analysis of patient data, and creating conversational AI functionalities for better patient engagement. Your work will also involve developing innovative solutions to streamline patient care navigation with multimodal AI agents.

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What technologies will a Software Engineer - Applied AI work with at Sprinter Health?

As a Software Engineer - Applied AI at Sprinter Health, you will engage with a range of technologies. Key languages will include Python and JavaScript/TypeScript, while you'll also work with frameworks like LangChain and data management systems including ElasticSearch and various vector databases. Your expertise in these technologies will play a crucial role in advancing our AI capabilities in the healthcare domain.

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What is the company culture like for a Software Engineer - Applied AI at Sprinter Health?

The company culture at Sprinter Health is vibrant, dynamic, and deeply rooted in innovation. As a Software Engineer - Applied AI, you’ll be part of a collaborative environment that values your contributions. The team enjoys perks like free lunches, tech talks, and offsite retreats. There's a strong emphasis on work-life balance, with flexible work-from-home options and unlimited PTO, ensuring that you can thrive both personally and professionally.

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How can a Software Engineer - Applied AI make a difference at Sprinter Health?

At Sprinter Health, a Software Engineer - Applied AI can make a significant impact by creating technologies that enhance patient care, reduce healthcare disparities, and optimize the efficiency of healthcare services. Your work will be central to developing AI solutions that not only address logistical challenges but also improve the overall patient experience. Joining us means contributing to a mission that prioritizes real-world solutions in health tech.

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Common Interview Questions for Software Engineer - Applied AI
What previous experience do you have with AI technologies?

Discuss specific projects where you implemented AI solutions, focusing on your hands-on experience with technologies relevant to the Software Engineer - Applied AI position like LLMs or conversational AI.

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Can you describe a challenging technical problem you've solved?

Share a detailed example of a technical challenge, explaining your approach, the technologies you used, and the outcome, ensuring it relates to the responsibilities at Sprinter Health.

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What is your experience with Python or JavaScript in developing AI applications?

Highlight specific projects where you utilized Python or JavaScript for AI applications, discussing libraries or frameworks applied, and the results achieved from these projects.

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How do you ensure the quality of your AI models?

Explain your testing and validation strategies, such as regular evaluations and user feedback loops, showcasing your commitment to delivering reliable AI applications.

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Describe your process for working with large data sets?

Talk through your experience in handling large data sets, including any tools you used, your methodologies for data processing, and their relevance to patient care analytics at Sprinter Health.

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What do you know about Sprinter Health and its mission?

Express your understanding of Sprinter Health's goals, emphasizing its focus on innovative healthcare delivery and how you see your skills fitting into that mission to enhance patient experiences.

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How would you approach collaborating with product managers on AI features?

Discuss your approach to teamwork and communication, mentioning experiences where you've successfully collaborated cross-functionally to build AI solutions that meet product goals.

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What strategies do you use for effective prompt engineering?

Explain your methodologies for crafting prompts, including examples of how these practices can improve results in applications reliant on LLMs in healthcare contexts.

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Can you provide an example of a successful project that involved deep analysis of patient data?

Share a concrete example of a project involving data analysis, detailing the objectives, your methodologies, and the impacts of your findings on healthcare delivery.

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What excites you about working in healthcare technology?

Express your passion for the healthcare field, focusing on the innovative aspects that inspire you to make contributions that improve patient outcomes and access.

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Full-time, hybrid
DATE POSTED
March 21, 2025

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