Senior AI/DevOps Engineer (Azure)
Talanto · Poland ·
- Work mode
- Remote
- Seniority
- Senior
- Employment
- Full time
- Category
- Devops
Talanto · Poland ·
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Inc. is looking for a Senior AI/DevOps Engineer (Azure) for a full-time position (40 hours per week) in Poland. Our client is an American company that provides an AI-powered platform for retail merchandising, helping retailers and CPG partners optimize pricing, promotions, markdowns, and trade fund management from a shared data model. You will sit at the intersection of infrastructure, automation, and applied AI — building the pipelines, platforms, and guardrails that let the team ship, scale, and keep healthy in production the AI-powered features the company relies on. The team is globally distributed across India and both US coasts, so comfort with asynchronous, cross-timezone collaboration is important. The role is remote-first, with occasional in-office days in Gdańsk (about once or twice a month). Expect some evening hours to overlap with US teams (roughly 15:00–18:00 CET). Requirements5+ years of professional experience in DevOps, platform engineering, or SRE roles. Hands‑on experience deploying and operating systems in production. 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 tooling (Prometheus, Grafana, Application Insights, or similar), including AI‑specific metrics such as cost, latency, and quality. Working knowledge of .NET / C#, including enough familiarity with .NET Framework 4.8 to support and troubleshoot legacy systems. Comfortable working independently and owning problems end‑to‑end. Nice to havePython experience for ML/data workflows and automation scripting. Experience with LLM evaluation frameworks and prompt engineering. Node.js / React experience for full-stack collaboration. Security/compliance experience around AI systems (data privacy, PII handling, model access controls). Background in SOLID principles, clean architecture, and TDD. ResponsibilitiesDesign and operate the infrastructure that powers 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. Provide light ongoing support for legacy .NET Framework 4.8 applications, and contribute to modernization/migration planning where relevant. Collaborate with product, data, and application engineering teams to translate AI‑feature designs into reliable, production‑grade systems. Mentor other engineers and help set technical direction for AI infrastructure practices. We offer US and EU projects based on advanced technologies. Competitive compensation based on skills and experience. Regular performance appraisals to support your growth. Flexibility in workspace, either remote or our welcoming office. Bonuses for article writing, public talks, and other activities. Generous time off, including vacation, national holidays, sick leaves, and family days. Personalized learning programs tailored to your interests and skill development. Free tech webinars and meetups organized by Svitla. Regular corporate online activities. Awesome team and a friendly, supportive community!