About AppLovin
AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end software and AI solutions for businesses to reach monetize and grow their global audiences. For more information about AppLovin visit: .
To deliver on this mission our global team is composed of team members with life experiences backgrounds and perspectives that mirror our developers and customers around the world. At AppLovin we are intentional about the team and culture we are building seeking candidates who are outstanding in their own right and also demonstrate their support of others.
Fortune recognizes AppLovin as one of the Best Workplaces in the Bay Area and the company has been a Certified Great Place to Work for the last four years (2021-2024). Check out the rest of our awards HERE.
About the role
We are building a layered AI intelligence system a multi-layer agent architecture with a dynamic router context engine execution loop verification layer and eval feedback cycle designed to handle long-horizon business tasks that cannot be accomplished in a single model inference.
We are looking for engineers who understand that building with LLMs is not the same as building conventional software and who find that difference interesting not frustrating. You will own one or more layers of our AI system from design through production and iterate on them based on real-world failures.
What you will own
You will be matched to one of these layer areas based on your background and interest:
Context engine: design and operate the RAG pipeline memory architecture MCP tool integrations and prompt library that give the system company-specific knowledge at inference time
Execution loop: build the action-observe-act cycle tool integrations state management and logging infrastructure that let the system pursue multi-step goals
Verification layer: design the checker model confidence scoring and human escalation logic that prevents the system from committing to bad outputs
What we are looking for
13 years of experience building real systems that use LLMs not just calling an API but designing context handling failures and shipping to users
Strong software engineering fundamentals: you write clean testable code and you think about what happens when things break
Genuine curiosity about how LLMs behave: you have noticed patterns in how models succeed and fail and you have opinions about why
Ability to move quickly and iterate: we are building in a new space and the path forward involves learning from production
Nice to have
Experience with vector databases embedding models or retrieval systems
Familiarity with agentic frameworks: LangChain LlamaIndex AutoGen or similar
Experience designing prompts systematically treating prompt design as an engineering discipline
AppLovin provides a competitive total compensation package with a pay for performance rewards approach. Total compensation at AppLovin is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Depending on the position offered equity and other forms of incentive compensation (as applicable) may be provided as part of a total compensation package in addition to dental vision and other benefits.
Other Types of Pay: Equity eligible
Health Insurance: Medical Dental Vision Life Disability
Retirement Benefits: 401(k) Retirement Plan
Paid Time Off: Unlimited Discretionary Time Off
Paid Holidays: 10 paid holidays per year
Paid Sick Leave: 80 hours per year
Method of Application: Apply online
Application Window: The application window is expected to close within 30 days of the posting date.
All questions or concerns about this posting should be directed to
CA Base Pay Range
$172000 - $258000 USD
AppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race color religion sex sexual orientation gender identity national origin veteran or disability status or other legally protected characteristics. Learn more about EEO rights as an applicant
here.If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process please send us a request at
AppLovin will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If youre applying for a position in California learn more
here.To support an efficient and fair hiring process we may use technology-assisted tools including artificial intelligence (AI) to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers.
Required Experience:
IC
About AppLovinAppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end software and AI solutions for businesses to reach monetize and grow their global audiences. For more information about AppLovin visit: .To deliver on this mi...
About AppLovin
AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end software and AI solutions for businesses to reach monetize and grow their global audiences. For more information about AppLovin visit: .
To deliver on this mission our global team is composed of team members with life experiences backgrounds and perspectives that mirror our developers and customers around the world. At AppLovin we are intentional about the team and culture we are building seeking candidates who are outstanding in their own right and also demonstrate their support of others.
Fortune recognizes AppLovin as one of the Best Workplaces in the Bay Area and the company has been a Certified Great Place to Work for the last four years (2021-2024). Check out the rest of our awards HERE.
About the role
We are building a layered AI intelligence system a multi-layer agent architecture with a dynamic router context engine execution loop verification layer and eval feedback cycle designed to handle long-horizon business tasks that cannot be accomplished in a single model inference.
We are looking for engineers who understand that building with LLMs is not the same as building conventional software and who find that difference interesting not frustrating. You will own one or more layers of our AI system from design through production and iterate on them based on real-world failures.
What you will own
You will be matched to one of these layer areas based on your background and interest:
Context engine: design and operate the RAG pipeline memory architecture MCP tool integrations and prompt library that give the system company-specific knowledge at inference time
Execution loop: build the action-observe-act cycle tool integrations state management and logging infrastructure that let the system pursue multi-step goals
Verification layer: design the checker model confidence scoring and human escalation logic that prevents the system from committing to bad outputs
What we are looking for
13 years of experience building real systems that use LLMs not just calling an API but designing context handling failures and shipping to users
Strong software engineering fundamentals: you write clean testable code and you think about what happens when things break
Genuine curiosity about how LLMs behave: you have noticed patterns in how models succeed and fail and you have opinions about why
Ability to move quickly and iterate: we are building in a new space and the path forward involves learning from production
Nice to have
Experience with vector databases embedding models or retrieval systems
Familiarity with agentic frameworks: LangChain LlamaIndex AutoGen or similar
Experience designing prompts systematically treating prompt design as an engineering discipline
AppLovin provides a competitive total compensation package with a pay for performance rewards approach. Total compensation at AppLovin is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Depending on the position offered equity and other forms of incentive compensation (as applicable) may be provided as part of a total compensation package in addition to dental vision and other benefits.
Other Types of Pay: Equity eligible
Health Insurance: Medical Dental Vision Life Disability
Retirement Benefits: 401(k) Retirement Plan
Paid Time Off: Unlimited Discretionary Time Off
Paid Holidays: 10 paid holidays per year
Paid Sick Leave: 80 hours per year
Method of Application: Apply online
Application Window: The application window is expected to close within 30 days of the posting date.
All questions or concerns about this posting should be directed to
CA Base Pay Range
$172000 - $258000 USD
AppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race color religion sex sexual orientation gender identity national origin veteran or disability status or other legally protected characteristics. Learn more about EEO rights as an applicant
here.If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process please send us a request at
AppLovin will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If youre applying for a position in California learn more
here.To support an efficient and fair hiring process we may use technology-assisted tools including artificial intelligence (AI) to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers.
Required Experience:
IC
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