Senior Software Engineer, Backend (Applied AI)
New
S
SmarterDxHealth Tech
Remote (United States)Full-TimeSenior
Salary190,000 - 230,000 USD per year
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Job Details
- Experience
- 5+ years
- Required Skills
- AWSPostgreSQLPythonTypeScriptDistributed Systems
Requirements
- 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
- Bachelor’s or Master’s in Computer Science, Engineering, or a related field, or equivalent experience
Responsibilities
- 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
- Collaborate across engineering, product, data science, and clinical disciplines to understand users and iterate on new ideas
- Design and improve the backend architecture that supports SmarterDx’s applications at scale
- Support SmarterDx’s applications and AI systems in production
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