AI Engineer

Job description

A day in the life of an AI Engineer As an AI Engineer in the SRE department of Tech BE, you will help shape and evolve agentic Software Delivery Lifecycle (SDLC) workflows, turning GenAI capabilities into reliable, production‑ready engineering solutions. - Developing production‑ready GenAI and agentic solutions by leveraging GitHub GenAI tools (GitHub Copilot, prompts, agent skills, and instruction files) and working with Python‑based services on Google Cloud (GCP) using Vertex AI, FastAPI, LangChain, and Google ADK to deliver real business impact. - Designing intelligent, cloud‑native AI workflows and multi‑agent systems that are reliable, secure, observable, and cost‑efficient in production, integrating GitHub‑based CI/CD, workflows, and automation for scalable operation and evolution. - Collaborating daily with SREs, software engineers, and product partners to translate complex problems into scalable GenAI solutions that improve engineering experience and operational resilience. - Improving AI agent quality through evaluation, testing, monitoring, and feedback loops, while operating services via CI/CD pipelines, GitHub workflows, and Infrastructure‑as‑Code (e.g. Terraform). - Sh...