---
title: 'Senior Software Engineer, Backend (Applied AI) at SmarterDx'
canonical: 'https://feeny.ai/job/senior-software-engineer-backend-applied-ai-smarterdx-united-states-8qtgkk1rn855'
type: 'job'
last_seen: '2026-09-15'
---

# Senior Software Engineer, Backend (Applied AI) at SmarterDx

- **Company:** SmarterDx
- **Location:** United States
- **Work type:** remote
- **Posted:** 2026-08-26
- **Last confirmed live:** 2026-09-15
- **Apply:** https://job-boards.greenhouse.io/smarterdx/jobs/5223140007

## Job description

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](http://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.

## About SmarterDx

## Company Overview
- **One-liner**: SmarterDx provides a clinical AI platform that helps hospitals and health systems capture accurate reimbursement, improve quality scores, and defend against payer denials by analyzing the full patient record.
- **Entity Type**: Private (acquired by Smarter Technologies in 2025; last funding round: Series B)
- **Headquarters**: New York City, USA
- **Founded**: 2020
- **Founders**: Michael Gao, MD (CEO) and Joshua Geleris, MD (Chief Product Officer)

## Core Business
- **Primary industry**: Healthcare IT / Revenue Cycle Management
- **Target customers**: Hospitals and health systems (B2B, Enterprise)
- **Mission/purpose**: “Build technology to transform data and understand clinical reasoning with proprietary AI to true the patient record.” Also: “Turn clinical truth into financial strength.”

## Products & Services
- **SmarterDx (Core Platform)**: Clinical AI that analyzes 100% of inpatient charts to uncover missing or incorrect diagnoses, capture net new revenue, and improve quality of care scores. Delivers 5:1 ROI from Day 1, with an average of $3.5M in annual realized net new revenue per 10,000 patient discharges. (SaaS)
- **SmarterDenials**: AI-driven appeals solution that quickly identifies denial root causes and generates evidence-backed appeal letters, helping hospitals overturn denied claims and recover earned revenue. (SaaS)

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total funding raised – $50 million (Series B, led by Transformation Capital, announced in 2025)
- **Notable Investors/Partners**: Transformation Capital (lead investor in Series B); serves 85+ health systems across the U.S.
- **Growth Signals**: 
  - Proprietary algorithms trained on 16M+ hospitalizations.
  - Recognized by Modern Healthcare as one of the Best Places to Work in Healthcare in 2025.
  - Earned top scores in KLAS report for customer satisfaction.
  - SOC 2 Type II + HIPAA compliant.
  - Expanding beyond flagship product into the full revenue cycle (appeals, physician notes) as part of Smarter Technologies.

## Competitive Advantages
- Founded by two physician-data scientists who deeply understand clinical workflows and revenue cycle pain points.
- Proprietary AI trained on 16M+ hospitalizations, enabling coverage of 100% of inpatient charts.
- Delivers immediate, measurable ROI (5:1, Day 1) without requiring workflow replacements.
- Integrated with existing hospital systems, reducing barriers to adoption.

## Strategic Focus
- Continued expansion of clinical AI across the entire revenue cycle, from physician documentation to denial appeals.
- Leveraging the scale and resources of parent company Smarter Technologies to accelerate product development and market reach.
- Deepening partnerships with health systems to improve both financial performance and quality outcomes.

## Why Work Here
- **Culture**: “Smartians” foster a culture of trust, collaboration, and meaningful work focused on fixing expensive, invisible problems in healthcare.
- **Remote/Hybrid**: Fully remote team within the United States.
- **Perks & Benefits**:
  - Competitive compensation
  - Unlimited PTO + 11 holidays
  - 401k matching up to 4% (immediate vesting)
  - Medical, dental, and vision (70–80% premium covered for employees and dependents)
  - Paid parental leave (up to 12 weeks)
- **Open Roles**: Data Science, Engineering (Backend, Full Stack, ML), Product, Clinical Operations, Integration, Marketing – all remote.

## Sources
1. [smarterdx.com/company](https://www.smarterdx.com/company)
2. [smarterdx.com/](https://www.smarterdx.com/)
3. [smarterdx.com/careers](https://www.smarterdx.com/careers)
4. [smarterdx.com/?stream=top](https://www.smarterdx.com/?stream=top)
5. [job-boards.greenhouse.io/smarterdx](https://job-boards.greenhouse.io/smarterdx)

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