Must-Have Skills and Experience
- Strong hands-on engineering skills with experience building prototypes, integrations, or solution accelerators using cloud and API-based technologies.
- Experience with Gemini APIs, Vertex AI, Google Cloud, prompt engineering, or similar AI application environments.
- Ability to develop agentic workflows, lightweight integrations, and multi-modal demonstrations for customer or partner scenarios.
- Strong communication and cross-functional collaboration skills with the ability to connect technical validation to business value.
- Total experience: 2 to 5 years, including 1 to 3 years of AI experience, with robust written and spoken English.
- Bachelors degree in Engineering or Computer Science.
Key Responsibilities
- Build working prototypes, proof points,
and multi-modal demonstrations using Gemini APIs, Vertex AI, and Google Cloud.
- Develop agentic workflows and lightweight integrations to validate technical feasibility for customer-specific scenarios.
- Own technical validation across deal cycles by rapidly translating Gemini Enterprise capabilities into deployable prototype outcomes.
- Apply prompt engineering and Google Gemini ADK to improve prototype quality, usability, and business relevance.
- Translate prototype outcomes into value narratives that support decision-making and accelerate customer progression.