✦ Luna Orbit — AI & Machine Learning

Senior Artificial Intelligence Engineer - Remote

at Healthesystems

📍 Remote, US Remote 💰 $104K – $150K USD / year Posted April 14, 2026
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Position Details

Salary $104K – $150K USD / year
Type Full-Time
Experience senior
Exp. Years 4 or more years
Education Bachelor's degree (four-year college or university)
Category AI & Machine Learning

About this role

Healthesystems is looking for a Senior Artificial Intelligence Engineer to build, deploy, and optimize AI models and systems that address complex customer problems. The role combines AI/ML development with software engineering, including Gen AI (RAG), NLP, API/SDK integration, and production monitoring—along with mentoring and technical leadership.

Key Responsibilities

  • Develop and implement AI models and algorithms
  • Clean, preprocess, and analyze large datasets
  • Integrate AI models into existing systems or build new systems using API/SDK
  • Deploy AI models into production and monitor performance over time
  • Ensure ethical AI development (bias and fairness) and document solutions

Technical Overview

You will design and implement AI models and algorithms, clean and preprocess large datasets, and select algorithms based on problem requirements. The role emphasizes Gen AI/ML integration including Retrieval Augmented Generation (RAG), NLP and Prompt Engineering, and deploying AI solutions into production with ongoing monitoring and ethical bias/fairness considerations.

Ideal Candidate

The ideal candidate is a senior AI/ML engineer with 4+ years of experience building and deploying AI models across data science, machine learning, and software engineering. They are proficient with Gen AI/ML solutions including Retrieval Augmented Generation (RAG), NLP techniques, and Prompt Engineering, and can integrate AI models via APIs/SDKs while providing technical leadership and mentorship.

Must-Have Skills

Gen AI/ML modelsRetrieval Augmented Generation (RAG) based solutionsNLP techniquesPrompt Engineeringintegrating API'sSDK's and applications that utilize AI/MLdeploy AI models into productionmonitor AI model performance over timeethical considerations (biases and fairness)documentation for AI modelsprocessesand systems

Tools & Platforms

Not specified

Required Skills

AI modelsmachine learning algorithmsdata preprocessingNLP techniquesPrompt EngineeringRetrieval Augmented Generation (RAG)API integrationSDK integrationpredictive analyticsdeploymentmonitoringperformance optimizationethical considerationsdocumentationmentorship

Hard Skills

AI modelsmachine learning algorithmsdata cleaningdata preprocessingdata analysisNLP techniquesPrompt Engineeringnatural language processingRetrieval Augmented Generation (RAG)Gen AI solutionspredictive analyticsAPI integrationSDK integrationAI/ML applicationsdeploymentAI model monitoringperformance optimizationaccuracy optimizationefficiency optimizationscalability optimizationbias mitigationfairness in AIethical AI developmentdocumentation for AI modelsprocessesand systems

Soft Skills

technical leadershipmentorshipcollaborationenterprise thinkingguiding best practicestranslate ambiguous business problems to AI solutionsstakeholder managementcommunicationsubject matter expertise (SME)

Industry & Role

Industry Healthcare IT
Job Function Develop, integrate, and deploy AI/ML solutions including Gen AI (RAG) with senior-level technical leadership
Role Subtype AI Engineer
Tech Domains Python

Keywords for Your Resume

Senior Artificial Intelligence EngineerSenior AI EngineerAI modelsmachine learning algorithmsnatural language processingNLP techniquesPrompt EngineeringGen AIGen AI/ML modelsRetrieval Augmented Generation (RAG)RAGAPI'sSDK'sAI/ML applicationspredictive analyticsdeploymentmonitoringperformance optimizationaccuracyscalabilityethicalbiasfairnessdocumentationsubject matter expert (SME)deploy AI models into productionmonitor their performance over time

Deal Breakers

Must have experience with Gen AI/ML models, Must have proven experience with Retrieval Augmented Generation (RAG) based solutions, Must have demonstrated experience with NLP techniques and Prompt Engineering, Must have experience integrating API's and SDK's that utilize AI/ML, Must have experience deploying AI models into production and monitoring performance

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