Senior Software Engineer, Backend (Applied AI)

Far Coder; Northern (KY); Hybrid; USD 190,000 - 230,000; Full time

Benefits offered by this job

Medical, Dental & Vision

Remote-First Team

Unlimited PTO & 11 Holidays

401(k) with match

Parental Leave

Job summary

SmarterDx is seeking a backend-focused Senior Software Engineer with applied AI experience to help build the systems powering clinical AI products. You’ll work at the intersection of backend engineering, ML, and product development, delivering production applications that combine traditional software with AI capabilities.

This role is fully remote within the US. You’ll collaborate with Data Scientists and Product engineers to turn models and experiments into reliable, scalable solutions for

Qualifications

• 5+ years of software development experience building backend and cloud-based systems.
• Expertise in Python and/or TypeScript with strong fundamentals.
• Experience building LLM-powered applications deployed to production.
• Experience integrating models into larger software systems, not just model training.
• Experience collaborating with Data Scientists, ML Engineers, or research teams.
• Experience designing APIs, services, data models, and event-driven workflows.
• Experience with PostgreSQL or similar relational databases.
• Experience building cloud-native distributed systems.
• Strong emphasis on reliability, observability, and security.
• Bachelor’s or Master’s in Computer Science, Engineering, or related field, or equivalent experience.

Responsibilities

• Design, build, and launch backend services and product capabilities with LLMs and ML models.
• Create production-grade workflows around model inference and tool use.
• Collaborate with Data Scientists to move experiments into reliable production.
• Develop evaluation and observability to improve AI system performance.
• Design backend architectures that handle probabilistic model outputs gracefully.
• Work with clinical and operational data across structured and unstructured formats.
• Collaborate across engineering, product, data science, and clinical teams.
• Improve backend architecture to scale SmarterDx applications.
• Protect patient privacy and security through secure coding practices.
• Research and advocate for better techniques as the applied AI ecosystem evolves.
• Support SmarterDx’s applications and AI systems in production.

Skills

Backend engineering

Python

TypeScript

LLM-powered apps

APIs & data models

PostgreSQL

Kubernetes

Cloud-native systems

Security & privacy

Collaboration with data scientists

Education

Bachelor’s or Master’s in Computer Science or related field

Tools

PostgreSQL

AWS

Terraform

Snowflake

Datadog

LangChain

Job description

SmarterDx is hiring a remote candidate for Senior Software Engineer, Backend (Applied AI). This is a full time position. Work location: USA. The role typically involves technologies such as TypeScript, React, Kubernetes, Terraform, Python, Rust. 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.

Additional Notes

Skills required for this role include TypeScript, React, Kubernetes, and related tools for day-to-day development.

Seniority level

Senior.