AI Full-Stack Engineer Jobs

Discover the latest remote and onsite AI Full-Stack Engineer roles across top active AI companies. Updated hourly.

Check out 62 new AI Full-Stack Engineer opportunities posted on The Homebase

Software Engineer, AI Video Agent

New
Top rated
Opusclip
Full-time
Full-time
Posted

You will be building a new team in the US to develop the next generation smart AI video maker that can ingest user's content and compose quality videos for social media. You will work closely with product and marketing teams to quickly prototype, beta test, and produce the final version of this product using agent technology. The technology stack includes GCP, Typescript, Python, Redis, MongoDB, Cloud Storage, and various AI models. You will be involved in rushing prototype and production versions of this product, contributing to an innovative and ambitious project.

$142,000 – $213,000
Undisclosed
YEAR

(USD)

Palo Alto, United States
Maybe global
Onsite

Software Engineer, macOS Core Product - Jersey City, USA

New
Top rated
Speechify
Full-time
Full-time
Posted

Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for diverse use cases. Deploy and operate the core ML inference workloads for the AI Voices serving pipeline. Introduce new techniques, tools, and architecture to improve performance, latency, throughput, and efficiency of deployed models. Build tools to identify bottlenecks and sources of instability and design and implement solutions to address the highest priority issues.

$140,000 – $200,000
Undisclosed
YEAR

(USD)

Jersey City, United States
Maybe global
Remote

Software Engineer, macOS Core Product - Plano, USA

New
Top rated
Speechify
Full-time
Full-time
Posted

Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for diverse use cases. Deploy and operate the core machine learning inference workloads for the AI Voices serving pipeline. Introduce new techniques, tools, and architecture to improve the performance, latency, throughput, and efficiency of deployed models. Build tools to identify bottlenecks and sources of instability and design and implement solutions to address priority issues.

$140,000 – $200,000
Undisclosed
YEAR

(USD)

Plano, United States
Maybe global
Remote

Software Engineer, macOS Core Product - McKinney, USA

New
Top rated
Speechify
Full-time
Full-time
Posted

Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for various use cases; deploy and operate core ML inference workloads for the AI Voices serving pipeline; introduce new techniques, tools, and architecture to improve the performance, latency, throughput, and efficiency of deployed models; build tools to identify bottlenecks and sources of instability, and design and implement solutions to address the highest priority issues.

$140,000 – $200,000
Undisclosed
YEAR

(USD)

McKinney, United States
Maybe global
Remote

Software Engineer, macOS Core Product - Jacksonville, USA

New
Top rated
Speechify
Full-time
Full-time
Posted

Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for diverse use cases. Deploy and operate the core ML inference workloads for the AI Voices serving pipeline. Introduce new techniques, tools, and architecture to improve performance, latency, throughput, and efficiency of the deployed models. Build tools to identify bottlenecks and sources of instability and design and implement solutions to address the highest priority issues.

$140,000 – $200,000
Undisclosed
YEAR

(USD)

Jacksonville, United States
Maybe global
Remote

Software Engineer, macOS Core Product - Bakersfield, USA

New
Top rated
Speechify
Full-time
Full-time
Posted

Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for diverse use cases. Deploy and operate the core machine learning inference workloads for AI Voices serving pipeline. Introduce new techniques, tools, and architecture to improve the performance, latency, throughput, and efficiency of deployed models. Build tools to provide visibility into bottlenecks and sources of instability, and design and implement solutions to address the highest priority issues.

$140,000 – $200,000
Undisclosed
YEAR

(USD)

Bakersfield, United States
Maybe global
Remote

Software Engineer, macOS Core Product - Fullerton, USA

New
Top rated
Speechify
Full-time
Full-time
Posted

Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for diverse use cases; deploy and operate the core machine learning inference workloads for the AI Voices serving pipeline; introduce new techniques, tools, and architecture to improve the performance, latency, throughput, and efficiency of deployed models; build tools to identify bottlenecks and sources of instability and design and implement solutions to address priority issues.

$140,000 – $200,000
Undisclosed
YEAR

(USD)

Fullerton, United States
Maybe global
Remote

Software Engineer, macOS Core Product - Miramar, USA

New
Top rated
Speechify
Full-time
Full-time
Posted

Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for diverse use cases. Deploy and operate core ML inference workloads for the AI Voices serving pipeline. Introduce new techniques, tools, and architecture to improve performance, latency, throughput, and efficiency of deployed models. Build tools to identify bottlenecks and sources of instability and design and implement solutions to address the highest priority issues.

$140,000 – $200,000
Undisclosed
YEAR

(USD)

Miramar, United States
Maybe global
Remote

Software Engineer, macOS Core Product - Fullerton, USA

New
Top rated
Speechify
Full-time
Full-time
Posted

Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for a diverse range of use cases. Deploy and operate the core ML inference workloads for AI Voices serving pipeline. Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of deployed models. Build tools to provide visibility into bottlenecks and sources of instability and design and implement solutions to address the highest priority issues.

$140,000 – $200,000
Undisclosed
YEAR

(USD)

Fullerton, United States
Maybe global
Remote

Software Engineer, macOS Core Product - Odessa, USA

New
Top rated
Speechify
Full-time
Full-time
Posted

Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for a diverse range of use cases. Deploy and operate the core ML inference workloads for the AI Voices serving pipeline. Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of deployed models. Build tools to provide visibility into bottlenecks and sources of instability and design and implement solutions to address the highest priority issues.

$140,000 – $200,000
Undisclosed
YEAR

(USD)

Odessa, United States
Maybe global
Remote

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Frequently Asked Questions

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[{"question":"What does a AI Full-Stack Engineer do?","answer":"AI Full-Stack Engineers design and build complete applications that incorporate artificial intelligence capabilities. They work across the technology stack, developing both front-end interfaces using frameworks like React and back-end systems with Python or Node.js. They integrate AI/ML models into applications, develop APIs, ensure code quality, and optimize performance. These professionals also automate deployment pipelines and collaborate closely with data scientists, product managers, and other engineers in agile environments."},{"question":"What skills are required for AI Full-Stack Engineer?","answer":"AI Full-Stack Engineers need proficiency in front-end technologies (React, Angular, JavaScript), back-end frameworks (Python/Django, Node.js), and AI/ML tools like TensorFlow.js or integration platforms. Experience with RESTful/GraphQL APIs, SQL/NoSQL databases, and cloud services (AWS, GCP, Azure) is essential. DevOps knowledge including Docker and Kubernetes proves valuable. Beyond technical abilities, these roles require strong problem-solving skills and the ability to collaborate effectively across multidisciplinary teams."},{"question":"What qualifications are needed for AI Full-Stack Engineer role?","answer":"Employers typically require a bachelor's degree in Computer Science, Software Engineering, or related field for AI Full-Stack Engineer positions, with some preferring master's degrees. Professional experience ranges from 1-4 years, with companies like Accenture seeking 2-4 years and PwC requiring at least 1 year. Demonstrated expertise in both full-stack development and AI/ML integration is necessary, along with a portfolio showing relevant projects and strong communication skills."},{"question":"What is the salary range for AI Full-Stack Engineer job?","answer":"While specific salary data wasn't provided in the research, AI Full-Stack Engineers typically command higher compensation than standard full-stack developers due to their specialized AI/ML knowledge. Compensation varies significantly based on location, company size, experience level, and specific AI specializations. Major employers like Deloitte, Accenture, PwC, and tech companies like OpenAI and Coursera actively recruit for these positions, indicating competitive salary packages to attract qualified talent."},{"question":"How long does it take to get hired as a AI Full-Stack Engineer?","answer":"The hiring timeline for AI Full-Stack Engineer positions varies by company and role specifics. Organizations like Deloitte, PwC, and Accenture typically have structured multi-stage interview processes that may take 3-6 weeks. Technical assessments often include coding challenges, system design discussions, and AI implementation questions. Companies like OpenAI may have more rigorous evaluation processes. Candidates with proven full-stack experience and AI integration skills generally move through hiring processes more efficiently."},{"question":"Are AI Full-Stack Engineer job in demand?","answer":"Yes, AI Full-Stack Engineer jobs show strong demand signals across multiple industries. Major companies including Deloitte, Accenture, PwC, OpenAI, and Coursera are actively recruiting for these positions. The demand stems from organizations needing professionals who can both build complete applications and integrate sophisticated AI capabilities. These hybrid roles bridge traditional development and AI specializations, making them particularly valuable as businesses implement artificial intelligence solutions into their products and operations."}]