Lead Software Engineer, AI Applications

Reposted 19 Days Ago
Hiring Remotely in United States
Remote
Senior level
Healthtech
The Role
Lead the architecture and development of AI/LLM applications, focusing on model evaluation, deployment, and collaboration with product teams to enhance healthcare technology.
Summary Generated by Built In

Being sick or injured is painful. Getting better shouldn’t be.

Most industries have been transformed by new technology. Healthcare is still waiting — and you can help change that.

Our mission is simple but ambitious: make healthcare accessible, transparent, and effortless for all. We put the consumer at the center, move fast and partner with forward-thinking providers to deliver software that makes care better, faster, and more human. This is work with real-world stakes — and you can help lead the way.

As a key member of our engineering team, you’ll design and build systems that directly impact people’s lives. You’ll tackle complex, high-scale challenges in an industry that desperately needs innovation, using technology to reimagine the patient experience from the ground up.

Solv Health is seeking an experienced engineering leader to architect and build the core infrastructure powering our suite of AI/LLM applications. You will help define best practices around model evaluation, monitoring, testing, and deployment, ensuring our AI services run reliably at scale and deliver measurable value to patients and providers.


If you’re passionate about building the AI foundations that can transform healthcare, we’d love to hear from you!


What You’ll Be Doing

  • Build and launch new, AI-native products that are transforming Solv’s core platform - powering intelligent workflows, automation, and personalized experiences for both patients and providers
  • Build systems for rigorous evaluation of model quality: establish metrics, automated test suites, and benchmarks for prompt performance
  • Develop observability & monitoring frameworks for production models, integrating logging, alerting, drift detection, and performance dashboards 
  • Champion best practices in versioning, CI/CD, and artifact management for AI assets, partnering closely with security, compliance, and devops teams 
  • Collaborate closely with product managers and client-facing teams to align AI features with user needs

What You Bring

  • 6+ years of software engineering experience, with a minimum of 2 years building production AI/LLM applications
  • Deep understanding of AI/ML concepts, including foundation models, embeddings, vector search, prompt engineering, and RAG architectures, paired with solid computer science fundamentals
  • Proven track record defining and rolling out evaluation/test frameworks and monitoring systems for large-scale machine learning or LLM services 
  • Expertise in cloud-native infrastructure (AWS), container orchestration (Kubernetes), and CI/CD tooling (e.g., GitHub Actions) complemented by strong web development skills in React/Typescript/Python.
  • Strong leadership & communication skills, with experience guiding technical strategy, driving alignment across stakeholders, and mentoring peers
  • Stay abreast of the latest advancements in AI (new model releases, tools, research) and evaluate their potential benefit to our platform. Help define our company’s AI strategy and roadmap by identifying new use cases and capabilities that keep our product at the cutting edge.
  • Problem-solving attitude with a proactive approach to learning new technologies and innovating solutions to difficult problems
  • Curiosity and a learner attitude

Bonus Points

  • Experience in healthcare technology or enterprise SaaS product environments. Direct knowledge of clinical workflows, healthcare interoperability standards (FHIR, HL7), or prior work on healthcare AI products is a plus.


Solv offers robust benefits including:

  • Medical, Dental, Vision Insurance
  • 401k
  • Paid Parental Leave
  • Monthly Wellness Reimbursement
  • Flexible Time Off
  • Many More!

The compensation range is for candidates in NYC or SF. We support fully remote employees, and compensation is dependent on location and experience level.

Top Skills

AI
AWS
Ci/Cd
Kubernetes
Llm
Python
React
Typescript
Am I A Good Fit?
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The Company
HQ: San Francisco, California
134 Employees
Year Founded: 2016

What We Do

We’re about one thing: convenient healthcare for everyone. Solv allows you to book same-day doctor’s appointments and urgent care visits. Choose from highly-rated providers, read patient reviews and book appointments after hours and on the weekend.

At Solv, we believe getting access to high quality, last-minute care should be simple, fast and effortless. Consumers should be able to know where they can go, when they'll be seen and how much it will cost. That's the future we're building with Solv.

For providers, Solv's end-to-end platform revolutionizes the delivery of convenient care. We create tools to grow your practice, delight patients and boost your reputation.

ATTRACT MORE PATIENTS.
Dominate Google by promoting your clinics on Solv and UrgentCareLocations.com and optimize your own site for online conversion. Your branded mobile scheduling site with insurance card scanning turns more web traffic into clinic visits.

DELIVER AN AMAZING EXPERIENCE
Automate patient communication that save staff time and improve patient satisfaction. Text message alerts keep patients up to date, reduce no-shows and handle post-visit follow up. Seamless queuing of both walk-ins and online bookings reduces wait times, optimizes patient flow and helps set expectations with patients through accurate wait time estimates.

INCREASE LOYALTY
Boost your online reputation by broadcasting reviews and increasing your clinic ratings to make a positive impression on new patients. Then keep them coming back with secure patient profiles that encourage painless re-bookings with your clinic. Following visits, collect valuable patient feedback with NPS surveys on performance, identify issues and address complaints instantly. Finally, mobile dashboards let you view operational data such as wait times and volumes so that you can make adjustments in real time.

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