Senior DevOps Engineer – AI

Job Description

We bring together Design, AI and Software Engineering to build enterprise-grade GenAI platforms and digital products that improve productivity, decision-making and business performance. Our work moves quickly from idea to production, combining cutting-edge technology with strong governance and security.
If you’re excited by scaling AI responsibly in enterprise environments, this is where it happens.

What success looks like:
• High availability, low-latency GenAI platforms running in production
• Secure, compliant systems with minimal downtime
• Well-documented, automated infrastructure and deployment pipelines
• Continuous improvements to performance, reliability and developer experience
• On-time delivery of platform enhancements and upgrades

Enough about us — let’s talk about you
You bring strong systems engineering fundamentals plus hands-on GenAI platform experience.
You’ll likely have:
•5+ years’ experience as a Systems Engineer (GenAI exposure highly valued)
•A degree in Computer Science, Engineering, Mathematics or similar (preferred)
•Experience supporting platforms in mature, managed services environments
•Excellent communication skills and the ability to collaborate across diverse teams

Technical experience we’re looking for:
•Core engineering
•AWS and/or Azure cloud platforms
•Linux/UNIX systems administration
•Networking, databases, messaging and security fundamentals
•nfrastructure as Code (Terraform)
•CI/CD and DevSecOps tools (GitHub, ADO, ArgoCD)
•Identity and security protocols (OAuth, SAML, OpenID Connect)

Generative AI & platform experience:
•Designing, building and operating AI chatbots and conversational AI systems
•Hands-on experience with LLM frameworks (LangChain, Haystack, OpenAI / Azure OpenAI)
•Building RAG-based solutions (document ingestion, embeddings, semantic search)
•Experience with agentic and automation frameworks (n8n, LangGraph, AutoGen, CrewAI)
•Strong understanding of AI tooling: vector databases, prompt management, model evaluation
•Integrating AI systems with enterprise platforms, APIs and workflows
•Solid software engineering skills (Python and/or JavaScript) in production environments
•Knowledge of AI governance, security and responsible AI in enterprise settings

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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