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# Senior Software Developer, Machine Learning, Applied AI

- **Company:** Google LLC
- **Location:** Sunnyvale, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Computing, Software Debugging, Python (Programming Language), Machine Learning, Software Architecture, Recommender Systems, Software Engineering, Reinforcement Learning, Data Processing, Machine Learning Operations, Virtual Agents
- **Published:** August 7, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/senior-software-developer-machine-learning-applied-ai-sunnyvale-ca-usa-58831499

## About the Role

developer journey: Build, Evaluate, Optimize, Deploy, Monitor * Work on agentic development workflows and integrations with GECX console, CES BE infrastructure, Python tools, and ML Evals Tasks * Bachelor in any field * 5 years of software development experience * 5 years of experience testing, and launching software products * 3 years of experience with software design and architecture * 5 years of experience with one or more: speech/audio, reinforcement learning, ML infrastructure, or another ML field * 5 years of experience with ML design and ML infrastructure (deployment, evaluation, data processing, debugging, fine tuning) Key requirements * bonus target 15% * equity * benefits

## Description

Experteer Overview As a Software Engineer on the Cloud Applied AI team, you will help build and scale conversational AI agents and intelligent workflows. You will own end-to-end development across Build, Evaluate, Optimize, Deploy, and Monitor phases, shaping agent capabilities for enterprise customers. You'll collaborate with cross-functional stakeholders to address ambiguous technical problems and drive the team's roadmap. This role offers the chance to mentor others, contribute to a fast-moving culture, and influence the future of autonomous, self-healing agent ecosystems. You will work with cutting-edge tools and platforms to deliver impactful AI solutions at scale. Compensation / Benefits * Design and implement recommendation systems and skill discovery/matching for AI Agents * Develop investigative tools to evaluate AI Agent performance * Manage stakeholders and contribute to team strategy and roadmap * Provide coaching and technical leadership within the team * Own end-to-end developer journey: Build, Evaluate, Optimize, Deploy, Monitor * Work on agentic development workflows and integrations with GECX console, CES BE infrastructure, Python tools, and ML Evals Tasks * Bachelor in any field * 5 years of software development experience * 5 years of experience testing, and launching software products * 3 years of experience with software design and architecture * 5 years of experience with one or more: speech/audio, reinforcement learning, ML infrastructure, or another ML field * 5 years of experience with ML design and ML infrastructure (deployment, evaluation, data processing, debugging, fine tuning) Key requirements * bonus target 15% * equity * benefits


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