Software Engineer, Agentic AI and LLMs, Google Ads

What you'll do

• Develop and optimize backend services, storage schemas, APIs, and data pipelines for large-scale generative AI systems.
• Implement machine-learning solutions, including model optimization and data processing, and support production reliability and incident resolution.
• Collaborate on technical designs and code reviews, maintain documentation, and adapt systems based on updates and user feedback.

What they ask for

• Bachelor’s degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
• 2 years of software development experience in one or more programming languages, or 1 year with an advanced degree.
• 1 year of experience in speech/audio systems, reinforcement learning, ML infrastructure, or another machine-learning specialization.
• 1 year of end-to-end machine-learning experience, including model deployment, evaluation, data processing, and debugging.

Nice to have

• Master's degree or PhD in a related technical field; 2 years of data structures or algorithms experience.
• 1 year with LLMs, prompt design/optimization, or agentic orchestration frameworks; accessibility or full-stack development experience.

Pay

USD 147000 - 210000 base salary

Tools

Java, Python, Go, C++, Gemini, Dart, JavaScript, TypeScript

AI focus

Builds conversational and agentic workflows for advertiser inquiries, applying generative AI and machine learning; work includes ML infrastructure, model optimization, data processing, and prompt engineering.