Lead Software Engineer, AI Applications

Solv.

124d•Remote

About The Position

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!

Requirements

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
Curiosity and a learner attitude

Nice To Haves

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.

Responsibilities

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
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