AI / Dev Ops Engineer

About the role

Job Overview:The AI / DevOps Engineer is responsible for building, deploying, and operating AI-powered software and the infrastructure that runs it. The role combines hands-on software development with DevOps and platform engineering, with a strong focus on Large Language Model (LLM) applications, agentic systems, and workflow automation.The individual in this role designs and develops AI-enabled

What you'll do

• This position bridges development and operations across the full lifecycle, from requirements and system design through CI/CD, deployment, monitoring, security, and post-production support, while continuously evaluating emerging AI tools and practices to improve efficiency and quality.
• Continuous learning is essential, as the AI / DevOps Engineer must stay current with a fast-moving AI and infrastructure landscape, including new models, agentic coding tools, orchestration frameworks, and automation techniques.
• ResponsibilitiesAI & LLM Application Development
• Design, develop, and maintain AI-powered applications and services that integrate Large Language Models (LLMs) and other machine learning models into business workflows

Requirements

• At least 2–4 years of combined experience across software development, DevOps, or automation; experience with AI/LLM-based solutions is strongly preferred
• Demonstrated experience building and deploying applications in cloud, on-premise, or private cloud environmentsExperience integrating APIs and third-party services, and building automated workflows
• Hands-on experience integrating LLM APIs (e.g., Anthropic Claude, OpenAI) and building AI features such as RAG, agents, and tool use.
• Hands-on experience with monitoring and observability tooling such as Prometheus, Grafana, the ELK/Loki stack, Datadog, or cloud-native services (e.g., AWS CloudWatch), including metrics, logs, dashboards, and alerting for applications, infrastructure, and AI workloads.

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