Title: Senior Applied AI Engineer with Exp in Adobe Commerce ecosystem
100% Remote
Long Term Contract On C2C
NOTE: Exp in Adobe Commerce ecosystem is Must HAVE....
Role Overview:
For a large-scale, heavily customized Adobe Commerce (Magento) platform with deep integrations across ERP, OMS, PIM, CRM, subscription billing, tax, and search/marketing systems, supporting multiple product lines and subscription-based offerings. As a Senior Applied AI Engineer on the AI POD, you will design, build, and deploy novel AI-powered applications that extend and enhance the client's Adobe Commerce platform and surrounding systems — using the client's approved AI/ML frameworks and governance standards. This role sits at the intersection of applied machine learning, software engineering, and e-commerce, turning promising AI capabilities into production-grade features.
Key Responsibilities/;
Design, develop, and deploy AI/ML-powered applications and features that integrate with Adobe Commerce and adjacent enterprise systems.
Build and productionize models and AI workflows (e.g., recommendation, search relevance, content generation, intelligent automation) using client-approved frameworks and infrastructure.
Collaborate with product, data science, and platform engineering teams to identify high-value AI use cases and translate them into shippable applications.
Build robust APIs and services to expose AI capabilities to the Adobe Commerce storefront and internal tools.
Implement monitoring, evaluation, and guardrails to ensure AI features are reliable, safe, and aligned with client governance/compliance requirements.
Write well-tested, production-grade code following TDD principles — unit, integration, and evaluation tests for models, pipelines, and the services that expose them.
Support CI/CD pipelines and containerized deployments (Docker) for AI services, and help troubleshoot production issues end-to-end.
Stay current with the client's approved AI/ML framework roadmap and contribute to internal best practices and reusable components; mentor other engineers adopting AI tooling.
Participate in code reviews, technical design, and estimation within an Agile delivery model.
Required Qualifications:
5–8 years of professional software engineering experience, with at least 2–3 years focused on applied AI/ML in production environments.
Strong programming skills in Python (and/or PHP/JavaScript for integration work), with experience building production-grade, well-tested services.
Hands-on experience building and deploying AI/ML applications using modern frameworks (e.g., LLM orchestration frameworks, vector databases, or classical ML pipelines) within an enterprise-approved tool stack.
Experience integrating AI services with e-commerce or similar transactional platforms via APIs (REST/GraphQL).
Solid understanding of MLOps fundamentals — model deployment, versioning, monitoring, and performance evaluation — plus standard engineering DevOps practices (Git, CI/CD, Docker, cloud hosting on AWS/Azure).
Experience working within an enterprise governance framework for AI (approved tools, data handling, security/compliance review).
Comfort working alongside Adobe Commerce/Magento engineers to connect AI capabilities to a live commerce platform.
Preferred Qualifications:
Direct experience with Adobe Commerce (Magento) or other major commerce platforms.
Experience with LLM-based application development (RAG, agentic workflows, prompt engineering) in a regulated or enterprise setting.
Familiarity with cloud AI platforms (Azure OpenAI, AWS Bedrock, or Google Vertex AI).
Experience in legal, tax, compliance, finance, or other regulated B2B/B2G industries.
Exposure performance monitoring/profiling tools (New Relic, Blackfire) and microservices architecture.
Comfort mentoring other developers and contributing to engineering best practices beyond your own feature work.