10,541 AI Applications jobs in the United States

At Sanity.io, we are changing how forward-thinking companies like PUMA, Spotify, Figma, Riot Games , and Linear create digital experiences. Our content operating system replaces rigid legacy CMS solutions with a flexible, developer-first platform that gives engineers complete control to build without restrictions.

As an engineer working on AI applications at Sanity, you will be at the forefront of the AI-driven evolution in content management. You'll join a small, cross-functional team (working closely with a designer, product manager, and another engineer) to imagine and build the next generation of AI-powered features and agents for the Sanity platform, leveraging new and emerging AI products and tools.

In this role, you will use AI technology to build practical product capabilities that help our users. You will focus on building AI-driven features and agents - for example, leveraging LLMs to infer structure from unstructured content, and enhancing our Model Context Protocol (MCP) server to enable deeper AI integration with Sanity's content platform. This is a highly collaborative and hands-on position: one day you might be prototyping a new content-aware AI agent, and the next day you'll be shipping a polished feature that thousands of users rely on. If you're excited about solving complex problems at the intersection of content and AI (and charting new territory in the process), this role is for you.

What would you do:

• Design and build AI-driven features and agents that revolutionize how content is created, structured, and delivered within the Sanity platform.
• Leverage LLMs to analyze unstructured content (e.g. plain text) and infer structured data and metadata, making content more organized and "AI-ready."
• Enhance our Model Context Protocol (MCP) server, adding new capabilities and tools so that AI agents can seamlessly interact with Sanity's content lake and perform complex content operations.
• Work closely with design and product to prototype intuitive user experiences that blend AI automation with human oversight, iterating on feedback to get it just right.
• Apply cutting-edge AI research in practical ways - from clever prompt engineering to optimizing how we handle large content datasets - and turn these innovations into reliable, scalable product features.
• Write clean, well-tested code primarily in TypeScript (Node.js)
• Collaborate with fellow engineers to share knowledge and establish best practices for AI development, ensuring the solutions we ship are robust, ethical, and maintainable at scale.

• Based in San Francisco / Bay Area and able to work at least 2 days per week in our San Francisco office.
• 2+ years of software engineering experience, preferably building user-facing products
• Strong proficiency in TypeScript and Node.js (our core tech stack). Bonus points if you're comfortable with Python (for data/ML tasks).
• Hands-on experience building AI-powered applications or working with machine learning/LLM APIs, including building evals to evaluate performance, either in a full-time role or through side projects.
• A naturally curious and creative problem solver who loves to experiment and learn new technologies.
• Detail-oriented with a structured approach to solving problems. You can design architecture that is elegant, robust, and scalable (and you appreciate the value of structured content and clean APIs).
• Collaborative and communicative - you work well in a team, share ideas, and can explain complex concepts clearly. You enjoy cross-functional collaboration with designers and product managers.
• You're excited about augmenting your own work with AI - whether it's using tools like Cursor, GitHub Copilot, or building custom workflows - you see AI not just as a feature for users, but as a powerful tool to supercharge your own engineering velocity and creativity.
• Familiarity with content management systems, content modeling, or developer tools is a plus (not required - you can pick up these domain concepts quickly).

• A highly-skilled, inspiring, and supportive team
• Positive, flexible, and trust-based work environment that encourages long-term professional and personal growth
• A global, multi-culturally diverse group of colleagues and customers
• Comprehensive health plans and perks
• A healthy work-life balance that accommodates individual and family needs
• Competitive salary and stock options program
• Salary Range: $165k - $195k annually. Final compensation within this range will be determined based on the candidate's experience and skill set.

Where Data Does More. Join the Snowflake team. As a Senior AI Software Engineer on this pivotal project, you will be instrumental in designing, developing, and deploying the core AI systems that power our intelligent data matching, recommendation, and orchestration engine. You will work with cutting-edge LLMs, graph databases, and advanced data processing techniques to transform complex metadata into actionable insights, enabling our users to discover and leverage data like never before. This is a unique chance to shape a product that fundamentally changes how organizations collaborate on data. OUR IDEAL SOFTWARE ENGINEER WILL HAVE: 7+ years of industry experience designing, building, and supporting backend large-scale data processing systems in production 3+ years of experience in Artificial Intelligence (AI) and Machine Learning (ML) application engineering roles, hands-on experience with LLM architecture, prompt engineering, with a strong focus on building and deploying production-grade AI systems. Experience building and deploying AI solutions on major cloud platforms Strong fundamental computer science skills Strong knowledge of algorithms and data structures Knowledge of databases and distributed systems Fluency in Java and SQL BS/MS/PHD in Computer Science or related majors, or equivalent experience Excellent verbal and written communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders. BONUS SKILLS & EXPERIENCE: Prior experience with recommendation systems or search ranking algorithms. Familiarity with data deduplication and entity resolution techniques at scale. Experience building applications on or integrating deeply with Snowflake's ecosystem Contributions to open-source AI/ML projects or relevant research publications. Experience with MLOps practices and tools for model deployment, monitoring, and lifecycle management. A Master's or Ph.D. in Computer Science, AI, Machine Learning, or a related quantitative field. Every Snowflake employee is expected to follow the company's confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company's data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. Snowflake is growing fast, and we're scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com The following represents the expected range of compensation for this role: The estimated base salary range for this role is $195,000 - $287,500. Additionally, this role is eligible to participate in Snowflake's bonus and equity plan. The successful candidate's starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits. #J-18808-Ljbffr

Where Data Does More. Join the Snowflake team.

As a Senior AI Applications Engineer on this pivotal project, you will be instrumental in designing, developing, and deploying the core AI systems that power our intelligent data matching, recommendation, and orchestration engine. You will work with cutting-edge LLMs, graph databases, and advanced data processing techniques to transform complex metadata into actionable insights, enabling our users to discover and leverage data like never before. This is a unique chance to shape a product that fundamentally changes how organizations collaborate on data.

OUR IDEAL SOFTWARE ENGINEER WILL HAVE:

• 7+ years of industry experience designing, building, and supporting backend large-scale data processing systems in production
• 3+ years of experience in Artificial Intelligence (AI) and Machine Learning (ML) application engineering roles, hands-on experience with LLM architecture, prompt engineering, with a strong focus on building and deploying production-grade AI systems.
• Experience building and deploying AI solutions on major cloud platforms
• Strong fundamental computer science skills
• Strong knowledge of algorithms and data structures
• Knowledge of databases and distributed systems
• Fluency in Java and SQL
• BS/MS/PHD in Computer Science or related majors, or equivalent experience
• Excellent verbal and written communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.

• Prior experience with recommendation systems or search ranking algorithms.
• Familiarity with data deduplication and entity resolution techniques at scale.
• Experience building applications on or integrating deeply with Snowflake's ecosystem
• Contributions to open-source AI/ML projects or relevant research publications.
• Experience with MLOps practices and tools for model deployment, monitoring, and lifecycle management.
• A Master's or Ph.D. in Computer Science, AI, Machine Learning, or a related quantitative field.

About SwayableSwayable is a fast-growing cloud data product that doubles the impact of advertising by empirically measuring how it changes people's opinions. Our partners include Amazon, Meta, IBM, DoorDash, Airbnb, MIT, Stanford, and multiple Democratic presidential campaigns. We were founded in 2018 by physics PhDs and are backed by leading technology and social impact investors, including Y Combinator. This position is the perfect opportunity to join a fast-moving, high-impact, mission-oriented startup.About the roleSwayable is seeking a Senior AI Applications Developer that blends full stack software development expertise with agentic AI and machine learning experience to advance the state of the art analytics engine that powers our core product. In this role, you will be part of the team that productizes all AI, machine learning, and data analysis at Swayable. You will be responsible for building, maintaining, and continuously improving our AI based applications. You will work with a talented and diverse team of engineers, data scientists, and research staff to build new features and solve novel problems across the spectrum of software engineering, data visualization, and science.ResponsibilitiesDesign, build, and maintain LLM/ML systems that power AI-driven features across a large-scale sentiment analysis platform.Develop and optimize LLM Agents for specific business use cases, focusing on performance, accuracy, and cost efficiency.Build scalable technical infrastructure for growing AI systems, including model training, deployment, and monitoring pipelines.Apply ML and AI techniques to big-data and observability problems unique to digital experience analytics.Collaborate with cross-functional teams to align LLM outputs and behaviors with product requirements.Contribute to and promote software engineering best practices across AI initiatives.Promote a positive culture within the team, encourage code quality, drive initiatives, and ensure flawless execution.RequirementsYou have 2+ years of professional experience building LLM/GenAI/ based agentic applications.You have 5+ years of professional experience in full stack software development.You have expertise in the Python stack, object oriented and test-driven development, and machine learning and AI frameworks.You have excellent problem solving skills and attention to detail.You have expertise in architecting, maintaining, and optimizing distributed, parallel computing systems.You keep up with the constantly evolving toolset for ML and AI Ops.You are knowledgeable about software architecture and can design scalable, performant solutions.You value code quality and write maintainable, testable code.Preferred qualificationsYou have a thorough knowledge of the Linux operating system.You have experience with Celery, and MongoDB.You believe in the scientific method and use data to drive decisions.You can give and receive informed, actionable feedback on technical and non-technical subjects.You are experienced at mentoring junior engineers.You are a strong communicator, especially in text. You can write documentation and discuss the tradeoffs of different implementations.You have an advanced degree (MSc or Ph.D.) in STEM.Salary range: $175k-$250kCreate a Job AlertInterested in building your career at Swayable? Get future opportunities sent straight to your email.Accepted file types: pdf, doc, docx, txt, rtf #J-18808-Ljbffr

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good - you've come to the right place. The Salesforce Cloud Economics and Capacity Management (CECM) team is looking for a Lead Engineer with experience developing AI and ML powered applications to join us! You will be working cross-functionally with engineers, architects, and product managers to build the breakthrough features that our internal customers will love, adopt and use while ensuring stable and scalable applications. You will also be working with data scientists to innovate and deliver distributed backend technologies, sometimes including big data technologies. You'll be a part of a modern, lean, self-governing product engineering team where you have the ability to switch hats between coding to requirements gathering, to testing for quality and performance. CECM develops intelligent, data driven tools leveraging ML and AI techniques for Forecasting, Anomaly Detection, and LLM which enable strategic decision-making pertaining to Salesforce infrastructure expenditure and capacity management. We are building a platform that provides near real-time monitoring of cost and capacity utilization of the infrastructure, which will help in optimizing resource allocation and minimizing costs. We apply advanced machine learning techniques to turn the petabytes of data generated by our global infrastructure into actionable predictions and business insights used by capacity planners, internal service owners, and technical leaders daily. As an internal tooling team, engineers are expected to directly interact with customers to develop requirements and design, release and maintain distributed systems with visibility throughout Salesforce. This is a fantastic opportunity for someone who is passionate about building scalable, resilient, distributed systems that collect, process, and analyze massive volumes of operational data. The technology stack includes Python, Airflow, K8S, Spark, Presto, Airflow, Postgres, and microservices within cloud native environments. ML and AI applications include time-series forecasting, anomaly detection and AI integrated products. We are looking for a Lead Engineer who can drive our strategy for optimizing cost efficiency and improving utilization across all of the Salesforce services. You will not only provide visibility into opportunities to improve availability, but also work with multiple service owners to help and guide delivering on those optimizations. Your Responsibilities Drive capacity visibility and automation improvements across multiple services at Salesforce Lead software development being delivered by multiple engineers Lead and participate in requirement gathering, design, and development of complex systems Independently design and deliver analytics tools and frameworks for diverse users, including other engineers, data scientists, and domain experts Mentor team members in all aspects of the software development lifecycle Master our code base, then improve it Build resilient, automated systems and assessing and integrating best-in-class technologies when appropriate Required Skills Bachelor's degree in Computer Science and 8+ years of experience, or equivalent industry experience Deep knowledge of two or more functional or scripting programming languages: Python, Scala, or equivalent Experience operating time-series forecasting, anomaly detection and AI integrated products in production environments Extensive experience working with Data Scientists and operating ML models in production services Understanding of Data Science, Machine Learning and AI concepts Extensive experience with distributed services (REST, rpc or similar APIs) and relational databases (Postgres or similar) Experience with orchestration and workflow management tools, i.e. Airflow Experience with distributed compute platforms like Trino or Spark Experience with Agile development methodology, Test-Driven Development, incremental delivery, and CI/CD Experience owning and operating services throughout the software development lifecycle including design, development, release and maintenance. Experience communicating technical vision, mentoring junior engineers and managing projects. Desired Skills/Experience: Specialization in one of the following areas: Interest in frontend/visualization development (Tableau, JavaScript) Experienced in infrastructure automation and cloud platforms: AWS, Azure, or GCP Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.For Washington-based roles, the base salary hiring range for this position is $157,600 to $53,000.For California-based roles, the base salary hiring range for this position is 172,000 to 276,100. #J-18808-Ljbffr

The Salesforce Cloud Economics and Capacity Management (CECM) team is looking for a Lead Engineer with experience developing AI and ML powered applications to join us! You will be working cross-functionally with engineers, architects, and product managers to build the breakthrough features that our internal customers will love, adopt and use while ensuring stable and scalable applications. You will also be working with data scientists to innovate and deliver distributed backend technologies, sometimes including big data technologies. You'll be a part of a modern, lean, self-governing product engineering team where you have the ability to switch hats between coding to requirements gathering, to testing for quality and performance. CECM develops intelligent, data driven tools leveraging ML and AI techniques for Forecasting, Anomaly Detection, and LLM which enable strategic decision-making pertaining to Salesforce infrastructure expenditure and capacity management. We are building a platform that provides near real-time monitoring of cost and capacity utilization of the infrastructure, which will help in optimizing resource allocation and minimizing costs. We apply advanced machine learning techniques to turn the petabytes of data generated by our global infrastructure into actionable predictions and business insights used by capacity planners, internal service owners, and technical leaders daily. As an internal tooling team, engineers are expected to directly interact with customers to develop requirements and design, release and maintain distributed systems with visibility throughout Salesforce. This is a fantastic opportunity for someone who is passionate about building scalable, resilient, distributed systems that collect, process, and analyze massive volumes of operational data. The technology stack includes Python, Airflow, K8S, Spark, Presto, Airflow, Postgres, and microservices within cloud native environments. ML and AI applications include time-series forecasting, anomaly detection and AI integrated products. We are looking for a Lead Engineer who can drive our strategy for optimizing cost efficiency and improving utilization across all of the Salesforce services. You will not only provide visibility into opportunities to improve availability, but also work with multiple service owners to help and guide delivering on those optimizations. Your Responsibilities Drive capacity visibility and automation improvements across multiple services at Salesforce Lead software development being delivered by multiple engineers Lead and participate in requirement gathering, design, and development of complex systems Independently design and deliver analytics tools and frameworks for diverse users, including other engineers, data scientists, and domain experts Mentor team members in all aspects of the software development lifecycle Master our code base, then improve it Build resilient, automated systems and assessing and integrating best-in-class technologies when appropriate Required Skills Bachelor’s degree in Computer Science and 8+ years of experience, or equivalent industry experience Deep knowledge of two or more functional or scripting programming languages: Python, Scala, or equivalent Experience operating time-series forecasting, anomaly detection and AI integrated products in production environments Extensive experience working with Data Scientists and operating ML models in production services Understanding of Data Science, Machine Learning and AI concepts Extensive experience with distributed services (REST, rpc or similar APIs) and relational databases (Postgres or similar) Experience with orchestration and workflow management tools, i.e. Airflow Experience with distributed compute platforms like Trino or Spark Experience with Agile development methodology, Test-Driven Development, incremental delivery, and CI/CD Experience owning and operating services throughout the software development lifecycle including design, development, release and maintenance. Experience communicating technical vision, mentoring junior engineers and managing projects. Desired Skills/Experience: Specialization in one of the following areas: Interest in frontend/visualization development (Tableau, JavaScript) Experienced in infrastructure automation and cloud platforms: AWS, Azure, or GCP #J-18808-Ljbffr

Sanity.io is the content operating system that replaces rigid legacy CMS, so forward-leaning companies like PUMA , Spotify , Figma , Riot Games , and Skims can create standout digital experiences for their customers.

As an engineer working on AI applications at Sanity, you will be at the forefront of the AI-driven evolution in content management. You’ll join a small, cross-functional team (working closely with a designer, product manager, and another engineer) to imagine and build the next generation of AI-powered features and agents for the Sanity platform, leveraging new and emerging AI products and tools.

In this role, you will use AI technology to build practical product capabilities that help our users. You will focus on building AI-driven features and agents – for example, leveraging LLMs to infer structure from unstructured content, and enhancing our Model Context Protocol (MCP) server to enable deeper AI integration with Sanity’s content platform. This is a highly collaborative and hands-on position: one day you might be prototyping a new content-aware AI agent, and the next day you’ll be shipping a polished feature that thousands of users rely on. If you’re excited about solving complex problems at the intersection of content and AI (and charting new territory in the process), then this role is for you.

Design and build AI-driven features and agents that revolutionize how content is created, structured, and delivered within the Sanity platform.

Leverage LLMs to analyze unstructured content (e.g. plain text) and infer structured data and metadata, making content more organized and “AI-ready.”

Enhance our Model Context Protocol (MCP) server, adding new capabilities and tools so that AI agents can seamlessly interact with Sanity’s content lake and perform complex content operations.

Work closely with design and product to prototype intuitive user experiences that blend AI automation with human oversight, iterating on feedback to get it just right.

Apply cutting-edge AI research in practical ways – from clever prompt engineering to optimizing how we handle large content datasets – and turn these innovations into reliable, scalable product features.

Write clean, well-tested code primarily in TypeScript (Node.js)

Collaborate with fellow engineers to share knowledge and establish best practices for AI development, ensuring the solutions we ship are robust, ethical, and maintainable at scale.

Based in San Francisco / Bay Area and able to work at least 2 days per week in our San Francisco office.

2+ years of software engineering experience, preferably building user-facing products.

Strong proficiency in TypeScript and Node.js (our core tech stack). Bonus points if you’re comfortable with Python (for data/ML tasks).

Hands-on experience building AI-powered applications or working with machine learning/LLM APIs, including building evals to evaluate performance – either in a full-time role or through side projects.

A naturally curious and creative problem solver who loves to experiment and learn new technologies.

Detail-oriented with a structured approach to solving problems. You can design architecture that is elegant, robust, and scalable (and you appreciate the value of structured content and clean APIs).

Collaborative and communicative – you work well in a team, share ideas, and can explain complex concepts clearly. You enjoy cross-functional collaboration with designers and product managers.

You're excited about augmenting your own work with AI – whether it’s using tools like Cursor, GitHub Copilot, or building custom workflows – you see AI not just as a feature for users, but as a powerful tool to supercharge your own engineering velocity and creativity.

Familiarity with content management systems, content modeling, or developer tools is a plus (not required – you can pick up these domain concepts quickly).

Not sure you’re exactly what we’re looking for in this role? Apply anyway!

A highly-skilled, inspiring, and supportive team

Positive, flexible, and trust-based work environment that encourages long-term professional and personal growth

A global, multi-culturally diverse group of colleagues and customers

Comprehensive health plans and perks

A healthy work-life balance that accommodates individual and family needs

Competitive salary and stock options program

Salary Range: $165k - $195k annually. Final compensation within this range will be determined based on the candidate’s experience and skill set.

Sanity.io is a modern, flexible content operating system that replaces rigid legacy content management systems. One of our big differentiators is treating content as data, so it can be stored in a single source of truth, but seamlessly adapted and personalized for any channel without extra effort. Forward-thinking companies choose Sanity because they can create tailored content authoring experiences, customized workflows, and content models that reflect their business.

Backed by Netlify, Vercel, the founders of Twitter and Medium, Heroku’s ex-CEO, and leading VCs like ICONIQ Growth, Threshold Ventures, and Lead Edge Capital, Sanity is at the epicenter of the modern digital product development stack.

You can only build a great company with a great culture. Read about our values and join us in building a diverse and inclusive team.

Sanity.io pledges to be an organization that reflects the globally diverse audience that our product serves. We believe that in addition to hiring the best talent, a diversity of perspectives, ideas, and cultures leads to the creation of better products and services. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, or gender identity.