A natural match if you have experience building LLM-heavy applications and working with clinical data.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Smarterdx via Greenhouse
SmarterDx is transforming how health systems use clinical AI to capture the full value of patient care delivered. Built by physician-data scientists and trained on clinically-validated EHR data, our clinical AI platform interprets the nuances behind every patient story and makes clinically-sound recommendations for revenue cycle teams — helping hospitals recover earned revenue, improve quality metrics, reduce denials, and streamline revenue cycle operations. As a Smartian, you’ll help build technology that makes healthcare more accurate, sustainable, and effective for everyone. Learn more at smarterdx.com/careers.
Role
We are looking for a backend-oriented Senior Software Engineer with applied AI experience to help build the systems that power SmarterDx’s clinical AI products.
This role sits at the intersection of backend engineering, machine learning, and product development. You’ll build production applications that combine traditional software systems with machine learning and increasingly LLM-driven capabilities. You’ll work closely with Data Scientists and other Product engineers to turn models, experiments, and emerging AI techniques into reliable product experiences used by healthcare teams.
The ideal candidate has strong backend engineering fundamentals and has previously built and operated LLM-heavy applications in production. You don’t need to be an ML infrastructure specialist, but you should be comfortable working directly with models, understanding their behavior and limitations, and designing the application architecture around them. Experience with traditional machine learning is valuable, particularly if you have more recently worked on applications powered by LLMs, multimodal models, or other modern AI systems.
**This role is fully remote within the US**
What You’ll Do
Design, build, and launch backend services and product capabilities that incorporate LLMs, machine learning models, and other AI systems
Build production-grade workflows around model inference, structured outputs, tool use, retrieval, agentic workflows, and other LLM application patterns
Partner closely with Data Scientists to take models and experimental approaches from exploration into reliable, maintainable production systems
Develop evaluation, observability, and feedback mechanisms to understand and improve AI system performance in production
Design systems that gracefully handle the probabilistic and non-deterministic behavior of AI models
Work with clinical and operational data across structured and unstructured formats, including documents and images
Collaborate across engineering, product, data science, and clinical disciplines to understand users and rapidly iterate on new ideas
Design and improve the backend architecture that supports SmarterDx’s applications at scale
Protect patients’ privacy and security through secure coding and data-handling practices
Research and advocate for improved techniques, architectures, and development practices as the applied AI ecosystem evolves
Support SmarterDx’s applications and AI systems in production
What You Bring
5+ years of software development experience, with significant experience building backend and cloud-based systems
Expertise in Python and/or TypeScript, with strong software engineering fundamentals
Experience building LLM-powered applications that have been deployed to production
Experience integrating models into larger software systems rather than working exclusively on model training or ML infrastructure
Experience collaborating closely with Data Scientists, Machine Learning Engineers, or research-oriented teams
Experience designing APIs, services, data models, and asynchronous or event-driven workflows
Experience working with Postgres or a similar relational database
Experience building cloud-native distributed systems
Familiarity with evaluating, debugging, and monitoring AI systems in production
Strong judgment around reliability, testing, observability, and failure handling in systems that incorporate probabilistic model outputs
Experience working in a security-conscious environment
Excellent communication and cross-functional collaboration skills
Bachelor’s or Master’s in Computer Science, Engineering, or a related field, or equivalent experience
Nice To Haves
Experience with both traditional machine learning models and modern generative AI / LLM applications
Experience with LLM application frameworks or orchestration tools such as LangChain or LangGraph
Experience with LLM observability and evaluation platforms such as Langfuse, Braintrust, or similar tools
Experience building retrieval-augmented generation, tool-calling, agentic, or multi-step AI workflows
Experience with computer vision, multimodal models, document understanding, or OCR pipelines
Experience designing evaluation datasets, automated evaluations, human-in-the-loop workflows, or model feedback loops
Experience at a scale-up or rapid-growth technology company
Experience in health tech, particularly with clinical data or hospital billing systems
Experience working with Kubernetes
Experience with HL7 / FHIR and other EHR-related technologies
Experience with Snowflake
Experience with Datadog
Our Stack
Python, TypeScript, React, Kubernetes, Postgres, DBOS, AWS, Terraform, Snowflake, Datadog, Braintrust, EasyLLM
Compensation
$190K to $230K base salary
#LI-DNI
Benefits
Medical, Dental & Vision – Comprehensive plans with leading insurance providers, covering 75% of your premiums, depending on the plan.
Paid Parental Leave – Generous paid leave to support families through birth or adoption: Up to 12 weeks for parents.
Remote-First Team – Work from anywhere in the U.S.
Unlimited PTO & 11 Holidays – So you can relax and recharge.
401(k) with Traditional & Roth Options – Tax-advantaged retirement savings through Fidelity with a 4% match.
Minimal Bureaucracy – A fast-moving, high-impact environment where you can focus on what matters.
Incredible Teammates! – Work alongside smart, supportive, and mission-driven colleagues.
Source: Smarterdx careers (Greenhouse)