AI Engineer

We’re looking for an AI Engineer to join our growing Data & AI team. This role focuses on building and scaling the platform behind AI products, ensuring they run reliably, efficiently, and at scale.

This position is strongly focused on platform, infrastructure, automation, observability, and operations rather than on building ML models or AI products themselves.

You will work with modern cloud technologies (mainly AWS, with some Azure exposure) and collaborate closely with Data Scientists, Data Engineers, and Product teams to bring AI solutions into production and keep them running smoothly.

We are open to candidates with strong expertise in at least one core area (e.g. cloud, DevOps, platform engineering, or ML operations) and solid foundational knowledge in the others, with motivation to grow across the full AI operations stack.

What you’ll do

• Design, build, and evolve our AI operations platform

• Operate and optimize ML and LLM pipelines (RAG, agents, etc.)

• Ensure reliability, scalability, and observability of AI systems

• Monitor model performance, quality, and drift

• Manage deployments in AWS/Azure with Docker & Kubernetes

• Implement LLMOps / AgentOps practices (evaluation, logging, orchestration)

• Drive automation, CI/CD, and infrastructure as code

• Partner with cross-functional teams to bring AI solutions into production

What we’re looking for

• Experience in MLOps, AIOps, or operating ML systems in production

• Strong background in cloud (AWS and/or Azure)

• Hands-on with Docker, Kubernetes, and CI/CD pipelines

• Experience with monitoring & observability tools

• Knowledge of LLMs, RAG pipelines, or AI agents

• Solid Python skills and understanding of ML lifecycle

Nice to have

• Experience with tools like SageMaker, Azure ML, MLflow, Kubeflow

• Familiarity with LangChain, LlamaIndex or similar frameworks

• Exposure to speech analytics or conversational AI

• Experience with (Airflow, Argo, etc.)