Descripción de la oferta
Ready to take your career to the next level? Join Amaris Consulting and work on projects that impact thousands of users worldwide. Be part of an international team, grow in an agile environment, and develop your career within a global group that values innovation, collaboration, and talent. Your mission & impact As a Senior AI Engineering Specialist , you will be a hands-on builder driving the adoption of AI-assisted software engineering across distributed digital platforms and eCommerce/composable commerce environments . You will design, build, and integrate AI agents and LLM-based solutions directly into the engineering toolchain (CI/CD, testing, code review, incident management), working side by side with Engineering, QA, and DevOps teams to boost productivity, quality, and developer experience. ✅ What we’re looking for Bachelor’s degree in Computer Science, Software Engineering , or equivalent. 6+ years of experience in software engineering in complex, distributed environments. Proven experience with AI-assisted software engineering workflows (e.g. GitHub Copilot, ChatGPT, Codeium or similar) and modern development tooling . Hands-on experience building with LLMs and AI agents , ideally using:LangChain , OpenAI API , LLM orchestration frameworks , AI agents . Strong background with frontend/backend development, APIs, cloud-native architectures, microservices, and CI/CD practices . Experience working with distributed digital platforms and enterprise integration ecosystems . Solid experience with GitHub Actions and/or other CI/CD tools, integrating automation into the development lifecycle. Ability to design, implement, and integrate AI agents into existing engineering workflows (e.g. test automation, code review, bug triage, documentation generation). Strong collaboration and communication skills in distributed engineering organizations (remote, multicultural, multi-vendor teams). High level of autonomy and a proactive mindset to identify opportunities and drive initiatives end-to-end . Ability to influence engineering practices through expertise and technical leadership , without relying on direct line management. ✨ Nice to have Familiarity with LLM-based automation at scale and enterprise AI tooling evaluation/adoption (security, governance, compliance, ROI). Experience in composable commerce / eCommerce platforms and their integration layers.
