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Perform

Senior AI/ML Engineer

Perform

Senior AI/ML Engineer leading development of LLM-based systems and NLP pipelines remotely. Collaborating with founders and shaping technical direction in an ambiguity-friendly environment.

Posted 4/22/2026full-timeRemote • 🌎 Anywhere in the WorldSeniorWebsite

Tech Stack

Tools & technologies
AWSJavaScriptMongoDBNode.jsPythonReactSelenium

About the role

Key responsibilities & impact
  • Lead the design and development of machine learning systems and LLM-based applications
  • Fine-tune and adapt large language models for domain-specific use cases
  • Build NLP pipelines to extract structured data from complex, unstructured documents
  • Translate ambiguous product goals into clear technical and ML execution plans
  • Work directly with product signals, user feedback, and backlog input to prioritize development work
  • Build evaluation systems to measure model performance and detect regressions
  • Design automated benchmarking pipelines for continuous model testing
  • Define meaningful performance metrics tied to real-world outcomes
  • Build feedback loops that use user corrections to continuously improve model performance
  • Apply computer vision techniques to extract data from PDFs and scanned documents
  • Develop AI agents that interact with web systems using automation tools such as Playwright or Selenium
  • Work across system design, infrastructure, training, and inference pipelines
  • Build scalable ML systems and supporting infrastructure from the ground up

Requirements

What you’ll need
  • 6+ years of Python development experience
  • 4+ years of experience in AI/ML engineering roles
  • Strong experience building and deploying LLM-based systems (e.g., Claude, OpenAI models)
  • Comfortable using modern LLM workflows such as prompting, evaluation, and iteration
  • Experience building NLP systems for information extraction or document understanding
  • Strong understanding of model evaluation, benchmarking, and performance measurement
  • Experience working with JavaScript/Node.js and React in production environments
  • Familiarity with MongoDB and AWS
  • Experience building systems that integrate feedback loops or continuous learning
  • Comfortable working in ambiguous environments without fully defined specifications
  • Strong communication skills (upper intermediate or higher English)

Benefits

Comp & perks
  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
Pythonmachine learninglarge language modelsNLPcomputer visionmodel evaluationbenchmarkinginformation extractionJavaScriptNode.js
Soft Skills
strong communicationproblem-solvingadaptabilitycollaborationprioritizationtechnical translationuser feedback integrationcontinuous learningworking in ambiguityfeedback loop development