Agentic Ai Systems Engineer

We're seeking a skilled Agentic AI Systems Engineer to design, deploy and maintain infrastructure for Large Language Model platforms.

This role combines DevOps best practices with AI / ML expertise, focusing on building scalable agentic AI systems that integrate directly with LLMs.ResponsibilitiesDevelop strategy and execute agentic AI system implementations using LLMs and autonomous decision-making componentsBuild prototypes and scale them into MVPs demonstrating real-world AI viabilityCollaborate with engineering and product teams to embed LLM agents into user-facing featuresDesign and manage CI / CD pipelines for LLM training and deployment workflowsProvide technical leadership on DevOps, security and deployment strategies for AI / ML modelsRequirements : 5+ years of experience in building and deploying ML or GenAI systems in production, with strong architectural and systems-level ownership2+ years of proven experience with LLM integration, LLM-based agents, or autonomous reasoning systemsEnd-to-end AI / ML delivery : data prep, training, evaluation, deployment, monitoringCloud expertise (AWS, GCP, or Azure) with CI / CD pipelines, multi-tenant deployments, and infrastructure automationExperience with Databricks and familiarity with Langchain / GenAI toolkitsStrong agility and ability to deliver in fast-moving product environmentsNice To Have : Advanced degree (MS / Ph.D.) in ML, Computer Science, or related fieldDeep expertise in DevOps / MLOps practices and scaling secure, enterprise-grade AI workflowsBroad data engineering knowledge, especially in DatabricksBackground in aviation industry