Job Description
Role Overview
We are seeking a Gemini Engineer with strong experience in building enterprise-grade Generative AI solutions leveraging Google Gemini models and the broader Google Cloud AI ecosystem. The role involves designing, developing, and deploying LLM-powered applications, integrating Gemini APIs into enterprise systems, and driving scalable AI adoption across business functions.
You will work closely with business stakeholders, product teams, and cloud engineers to translate use cases into robust AI-enabled solutions.
Key Responsibilities
Lead end-to-end design and delivery of Gemini-powered AI solutions.
Architect scalable GenAI platforms on Google Cloud.
Drive AI solutioning workshops with business stakeholders.
Define reusable architecture patterns (RAG, agent-based workflows, orchestration).
Guide junior engineers on prompt engineering, evaluation, and optimization.
Establish governance standards for responsible AI deployment.
Manage small technical teams (25 engineers).
Support pre-sales, solution demos, and proposal development.
Required Qualifications
Minimum 8 years of software engineering experience, including AI/ML exposure.
Proven experience designing cloud-native AI architectures.
Strong hands-on expertise with Gemini, Vertex AI, and LLM orchestration frameworks.
Experience implementing AI agents and workflow automation.
Strong understanding of data privacy, security, and AI risk management.
Experience leading small technical teams.
Good to Have
Google Cloud Professional certifications.
Experience integrating multimodal models (text + image + audio).
Exposure to cost optimization strategies for LLM usage.
