Software Engineer, AI/ML Agentic AI Systems, Cloud...
Role details
Job location
Tech stack
Job description
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Requirements
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
info_outline
XApplicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
Minimum qualifications:
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Bachelor's degree or equivalent practical experience.
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2 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
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2 years of experience with GenAI technologies (e.g., LLMs, Agentic development etc) or ML platform/infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Preferred qualifications:
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Master's degree or PhD in Computer Science or a related technical field.
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Experience in building and deploying agentic AI systems.
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Experience in available distributed systems, cloud services or data platforms.
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Experience in security domains.
About the job
Benefits & conditions
The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (https://careers.google.com/benefits/) .