✦ Luna Orbit — AI & Machine Learning

Senior Engineering Consultant | GenAI, Data & Cloud (US-based)

at Provectus

📍 Remote, US Remote Posted March 25, 2026
Type Full-Time
Experience senior
Exp. Years 6+ years
Education Not specified
Category AI & Machine Learning

Senior engineer role focused on maintaining and scaling a production AI platform using AWS and Python, working in regulated enterprise environments.

  • Maintain and improve AI platform
  • Handle backend development and data pipelines
  • Make technical decisions independently
  • Collaborate with stakeholders
  • Ensure platform scalability and compliance

Environment involves AWS cloud services, data pipelines, DevOps, and MLOps practices, with a focus on AI/ML systems and large-scale data processing.

The ideal candidate is a senior AI/ML engineer with 6+ years of experience in deploying AI solutions on AWS, proficient in Python and data engineering, capable of working autonomously on production AI platforms in regulated environments.

6+ years of hands-on engineering experienceAWS (LambdaS3SageMakerBedrockECR)PythonData engineeringproduction systems experience
AI/ML systemsLLM applicationsDevOpsMLOpsconsulting experience
AWSLambdaS3SageMakerBedrockECR
PythonAWSLambdaS3SageMakerBedrockData engineeringDevOpsMLOps
PythonAWSAmazon Web ServicesLambdaS3SageMakerBedrockECRData engineeringData pipelinesDevOpsMLOps
independent workproblem-solvingtechnical decision makingstakeholder communicationautonomous working
Industry SaaS, Healthcare IT, Finance, Retail
Job Function Develop and maintain enterprise AI solutions on cloud infrastructure
Role Subtype AI & Machine Learning
Tech Domains Amazon Web Services, Python, Data engineering, DevOps
AI engineerMachine LearningPythonAWSAmazon Web ServicesLambdaS3SageMakerBedrockDevOpsMLOpsData engineeringData pipelinesproduction systemsautonomous workregulatory environmententerprise AI

Less than 6 years of experience, Lack of AWS experience, No Python skills, No experience with production AI systems

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