AI Software Engineer

Systemtec

$110K — $130K *
Healthcare
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Authorized to work for any employer in the U.S. without sponsorship.
  • 5+ years of software engineering or application development experience.
  • Strong programming experience in Python, Java, or similar, with a preference for Python.
  • Expertise in developing and integrating APIs and scalable software solutions.
  • Experience with AI applications and agentic AI concepts, including tool calling and AI-powered workflows.
  • Proficient in cloud environments, CI/CD, source control, and production deployments.
  • Knowledge of containerization, DevSecOps, and best practices for production readiness.

Responsibilities

  • Design, build, test, and deploy scalable AI-enabled applications for patient engagement.
  • Develop conversational and voice-based AI experiences across diverse communication channels.
  • Integrate APIs and data sources to deliver reliable end-to-end applications.
  • Implement LLM, RAG, and AI frameworks within production solutions.
  • Maintain cloud-based deployment, CI/CD, MLOps, and monitoring capabilities.
  • Collaborate with cross-functional teams to prototype and continually enhance AI products.

Benefits

  • Competitive compensation package.
  • Access to health, dental, disability, and life insurance coverage.
  • 401(k) retirement plan with company matching.
Full Job Description
AI Software Engineer for a remote opportunity for candidates working EST hours. Candidate will develop and deploy production-ready AI applications that improve patient scheduling, engagement, and care-navigation experiences. This role combines strong software engineering with agentic AI, conversational technologies, API integrations, and cloud-based application development.

Required Qualifications of the AI Software Engineer :
  • Applicants must be authorized to work for any employer in the U.S. We are unable to provide sponsorship or work with Third-Party agencies.
  • 5+ years of professional software engineering or application development experience.
  • Strong programming experience in Python, Java, or another commonly used programming language; Python preferred.
  • Hands-on experience developing and integrating APIs, enterprise applications, and scalable software solutions.
  • Experience with AI applications, LLM integrations, agentic AI concepts, tool calling, and AI-powered workflows.
  • Experience with cloud environments, CI/CD pipelines, source control, application architecture, and production deployments.
  • Knowledge of containerization, DevSecOps, observability, and production-readiness practices.
  • Experience working with structured, semi-structured, and unstructured data as well as NoSQL databases.
  • Familiarity with RAG architectures and AI application frameworks such as LangChain or LlamaIndex.
  • Ability to independently troubleshoot technical issues, solve complex problems, and participate in live coding assessments.

Preferred Skills/Experience of the AI Software Engineer :
  • Azure cloud development and deployment experience.
  • Healthcare technology experience and knowledge of HIPAA privacy and security requirements.
  • Epic EMR experience, including Epic Hyperspace, Epic APIs, or Epic certification.
  • Experience developing voice agents, conversational AI, or patient-facing AI applications.
  • Experience with patient scheduling, care navigation, patient engagement, or EHR/EMR integrations.
  • Full-stack development experience, including frontend exposure.
  • Familiarity with responsible AI practices such as fairness, bias mitigation, transparency, and explainability.

Responsibilities of the AI Software Engineer :
  • Design, build, test, and deploy scalable AI-enabled applications and agentic workflows supporting patient scheduling and engagement.
  • Develop conversational and voice-based AI experiences across phone, SMS, chat, and email channels.
  • Integrate APIs, enterprise platforms, AI services, and data sources to deliver reliable end-to-end applications.
  • Implement LLM, RAG, tool-calling, and AI application frameworks within production solutions.
  • Develop and maintain cloud-based deployment, CI/CD, MLOps, monitoring, and observability capabilities.
  • Collaborate with engineers, architects, data scientists, product managers, and designers to prototype, deliver, evaluate, and continuously improve AI products.

Work Location: Remote. EST Hours. Must be located in the United States.

Compensation / Benefits:
Full-Time Employment with SYSTEMTEC means competitive compensation, access to health, dental, disability, and life coverage, and 401(k) with match.

***Please note: SYSTEMTEC is not set up to employ workers in the states of California, New York, and New Jersey.***

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