AI/ML Engineer

Experteer Overview In this AI/ML Engineer role you will drive GenAI initiatives within an IT consulting context, delivering end-to-end AI solutions for enterprise-scale environments. You will design, implement and operationalize GenAI workloads, ensuring secure, scalable deployments and observability. You will collaborate with cross-functional teams to translate complex business problems into robust AI systems. This is a hands-on, technically influential role that shapes architecture and mentoring for senior engineers. Compensation / Benefits * Architect and implement GenAI solutions including LLMs, RAG, and agentic concepts * Oversee end-to-end GenAI ops: design, secure deployment, horizontal scaling, production observability * Lead architectural direction and mentor senior engineers in AI/ML initiatives * Collaborate across cloud platforms to build scalable AI systems using containerization and IaC * Ensure secure coding and data handling practices in enterprise-scale environments Tasks * 5-10 years of experience in AI/ML engineering * Hands-on GenAI expertise with LLMs, RAG, prompt engineering, and Agentic AI concepts * Exposure to LangChain, LangGraph, Microsoft Foundry Agent Service, AWS Bedrock * GenAI ops experience across design, deployment, scaling, and observability * Cloud experience on Azure and AWS; distributed systems fundamentals * Containerization and orchestration (Docker, Kubernetes) * Infrastructure as Code (Terraform, ARM/Bicep) * Strong Python development and microservices experience * Technical leadership with ability to translate business problems into secure, scalable AI solutions Key requirements *

data * 5-10 years of experience in AI/ML engineering * Hands-on GenAI expertise with LLMs, RAG, prompt engineering, and Agentic AI concepts * Exposure to LangChain, LangGraph, Microsoft Foundry Agent Service, AWS Bedrock * GenAI ops experience across design, deployment, scaling, and observability * Cloud experience on Azure and AWS; distributed systems fundamentals * Containerization and orchestration (Docker, Kubernetes) * Infrastructure as Code (Terraform, ARM/Bicep) * Strong Python development and microservices experience * Technical leadership with ability to translate business problems into secure, scalable AI solutions Key requirements *