ROLES & 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.
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.