Senior AI/DevOps Engineer

Vacancy details ArgentinaArgentina RemoteRemote Recruiter Olena Kokoieva Olena Kokoieva o.kokoieva@svitla.com **Role overview** ----------------- We're looking for a Senior AI/DevOps Engineer who thrives at the intersection of infrastructure, automation, and applied AI. You'll be the person who makes AI-powered features actually ship, scale, and stay healthy in production - building the pipelines, platforms, and guardrails that let the rest of the team move fast with LLMs and ML models. This is a hybrid role: part platform/DevOps engineer, part MLOps practitioner, part AI integrator. This is a full-time, remote role, with flexibility to work from home. This role works across a globally distributed team spanning India and both US coasts, so comfort with asynchronous collaboration and overlapping across time zones is important. Expect some evening hours to overlap with global teams. **Responsibility** ------------------ * Design and operate the infrastructure that powers our AI features: LLM integrations, RAG pipelines, vector stores, and model-serving endpoints. * Build and maintain CI/CD pipelines for both traditional services and AI/ML workloads (model deployment, evaluation, rollback). * Own observability and monitoring for AI systems — latency, cost, token usage, output quality drift, and failure modes unique to LLM-based features. * Architect and manage cloud infrastructure on Azure (compute, networking, storage, IAM) using infrastructure-as-code. * Containerize and orchestrate services with Docker and Kubernetes. * Integrate with AI APIs and platforms (OpenAI, Anthropic, Azure AI/OpenAI Service, or similar) and build internal tooling to make that integration repeatable across teams. * Implement guardrails, rate limiting, caching, and cost controls for LLM-powered features. * Collaborate with product, data, and application engineering teams to translate AI-feature designs into reliable, production-grade systems. * Coordinate effectively with teammates across India, East Coast, and West Coast time zones. * Mentor other engineers and help set technical direction for AI infrastructure practices. **Requirements** ---------------- * Bachelor's Degree in CS or Engineering. * 5+ years of professional experience in DevOps, platform engineering, or SRE roles. * Hands-on experience deploying and operating systems in production. * Expert level in Python, and proficient in Java (specifically targeting backend product engineering context). * Strong experience with Azure cloud infrastructure and infrastructure-as-code (Terraform, Bicep, ARM, or similar). * Solid grasp of CI/CD pipeline design and automation (Azure DevOps, GitHub Actions, or similar). * Proficiency with Docker and Kubernetes for containerization and orchestration. * Experience integrating with AI/LLM APIs (OpenAI, Anthropic, Azure AI, or similar) and understanding of RAG architectures, vector databases, and prompt/response evaluation. * Comfort with monitoring and observability