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Senior Applied AI Engineer

InfiCare Technologies

 

United States

Posted On: Just posted
Experience: 8+ years
Availability: Remote
Openings: 1
Category: AI ENGINEER
Tenure: Full-time Only, Contract - Corp-to-Corp
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Description

Key Responsibilities


 

  • Design, develop, and deploy AI/ML-powered applications integrating with Adobe Commerce and adjacent enterprise systems
  • Build and productionize models and AI workflows (recommendation, search relevance, content generation, intelligent automation)
  • Build robust REST/GraphQL APIs to expose AI capabilities to the Commerce storefront and internal tools
  • Implement monitoring, evaluation, and guardrails to ensure AI features are reliable, safe, and compliant
  • Write production-grade, well-tested code following TDD principles (unit, integration, and evaluation tests)
  • Support CI/CD pipelines and containerized deployments (Docker) for AI services
  • Mentor engineers adopting AI tooling and contribute to internal best practices and reusable components
  • Participate in code reviews, technical design, and estimation within an Agile delivery model

Required Skills


 

  • Strong Python programming skills; PHP and/or JavaScript for integration work
  • Hands-on experience building and deploying AI/ML applications using modern frameworks (LLM orchestration, vector databases, classical ML pipelines)
  • Experience integrating AI services with e-commerce or transactional platforms via REST/GraphQL APIs
  • Solid MLOps fundamentals — model deployment, versioning, monitoring, and performance evaluation
  • DevOps practices: Git, CI/CD, Docker, cloud hosting (AWS or Azure)
  • Experience working within enterprise AI governance frameworks (approved tools, data handling, security/compliance)
  • Ability to collaborate with Adobe Commerce/Magento engineers on a live commerce platform

Preferred Skills


 

  • Direct experience with Adobe Commerce (Magento) or other major commerce platforms
  • LLM-based application development: RAG, agentic workflows, prompt engineering in regulated/enterprise settings
  • Cloud AI platforms: Azure OpenAI, AWS Bedrock, or Google Vertex AI
  • Experience in legal, tax, compliance, finance, or regulated B2B/B2G industries
  • Performance monitoring tools: New Relic, Blackfire
  • Microservices architecture exposure
  • Mentoring and engineering best-practices leadership

Education

Bachelor's degree

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