AI Jobs
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Lead Backend Engineer (Python/Django)
Scale organic traffic and monitor brand presence in AI models with this comprehensive SEO ecosystem featuring automated audits, content, and local tools.
Benefits:
Monthly donations to nominated causes
Professional growth opportunities
Ownership over projects
Collaboration-focused culture
Inclusive environment
Experience Requirements:
Experience with Python/Django
Responsibilities:
Help other brands and agencies grow
Work on AI-powered SEO tools
Collaborate in a hierarchy-free team
Lead backend engineering efforts
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Principal Backend Engineer (Python/Django)
Scale organic traffic and monitor brand presence in AI models with this comprehensive SEO ecosystem featuring automated audits, content, and local tools.
Benefits:
Monthly donations to nominated causes
Professional growth opportunities
Ownership over projects
Collaboration-focused culture
Inclusive environment
Experience Requirements:
Experience with Python/Django
Responsibilities:
Help other brands and agencies grow
Work on AI-powered SEO tools
Collaborate in a hierarchy-free team
Principal-level backend architecture
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Backend Engineer
Scale organic traffic and monitor brand presence in AI models with this comprehensive SEO ecosystem featuring automated audits, content, and local tools.
Benefits:
Monthly donations to nominated causes
Professional growth opportunities
Ownership over projects
Collaboration-focused culture
Inclusive environment
Responsibilities:
Help other brands and agencies grow
Work on AI-powered SEO tools
Collaborate in a hierarchy-free team
Transform SEO with innovative tools
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Solutions Engineer
Build better products by centralizing customer feedback into actionable insights using AI-powered deduplication, automated roadmaps, and transparent changelogs.
Benefits:
Equity grant
20 paid vacation days
15 paid holidays
Unlimited sick leave
Medical, dental, and vision insurance
Experience Requirements:
Experience building and maintaining production web applications
Strong proficiency in modern JavaScript/TypeScript and React
Comfort working across the stack (frontend, backend, APIs, databases)
Experience writing clean, maintainable, and well-tested code
Strong written and verbal communication skills
Other Requirements:
Proactive, ownership-driven mindset
Context-switching skills to thrive in busy environments
Ability to manage time effectively in a remote, async environment
Requires working North American hours
Previous SaaS experience is a plus
Responsibilities:
Handle technical engineering support for GTM team
Join customer calls for sales engineering and technical questions
Support customers with custom setups, API usage, and SSO
Investigate and solve customer-reported technical issues
Surface recurring customer pain points to Product and Engineering
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Software Engineer
Build better products by centralizing customer feedback into actionable insights using AI-powered deduplication, automated roadmaps, and transparent changelogs.
Benefits:
Equity grant
20 paid vacation days
15 paid holidays
Unlimited sick leave
Medical, dental, and vision insurance
Experience Requirements:
Experience building and maintaining production web applications
Strong proficiency in modern JavaScript/TypeScript and React
Comfort working across the stack (frontend, backend, APIs, databases)
Experience writing clean, maintainable, and well-tested code
Strong written and verbal communication skills
Other Requirements:
Proactive, ownership-driven mindset
Ability to manage time effectively in a remote, async environment
Requires working North American hours
Previous SaaS experience is a plus
Responsibilities:
Design, implement, and maintain product functionality end-to-end
Identify, debug, and resolve issues to keep the product stable
Collaborate with product and design to refine user flows
Contribute to architecture discussions and technical decisions
Collaborate cross-functionally with product, support, and GTM
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Technical Support Data Engineer (Fully Remote in India)
Eliminate sizing guesswork and build shopper confidence with AI-driven recommendations that increase conversions and reduce returns for fashion retailers.
Benefits:
Health and wellness benefits
Employee Assistance Program
Day Off For Your Birthday
Paid four-week Sabbatical leave every five years
Monetary bonus for sabbatical
Experience Requirements:
5+ years of experience as Support Engineer, Software Engineer, or Data Analyst
Experience with ETL principles and tools
Exceptional relational database skills (Postgres or Oracle)
Strong Linux knowledge
Experience with scripting (Shell, Python, or JavaScript)
Other Requirements:
Comfortable with Unix commands and shell scripting
Experience with git, deployment, and monitoring
Solid understanding of Web Application technologies (HTML, CSS, JS)
Ability to work 11am to 7pm IST to overlap with US EST
Experience with GenAI (LLMs / VLMs) is a plus
Responsibilities:
Main point of contact for SaaS technical integration
Guide retailers through software implementation and testing
Use SQL and Python to process product catalog and sales data
Respond to support requests via email, ticketing, or chat
Automate processes for efficiency and throughput
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Research & Development Engineer – AI and Machine Learning
Build and deploy sophisticated AI agents for customer service using a no-code platform that integrates with major LLMs to automate support across multiple channels.
Benefits:
Work on cutting-edge technology in ambitious research projects
Thrive in a dynamic company that values new ideas and innovation
Contribute to impactful projects across various high-growth sectors
Education Requirements:
Advanced degree in computer science, data science, or artificial intelligence
Experience Requirements:
Experience in applied AI research
Experience using and customizing large language models (LLMs)
Proficiency in Python and ML libraries (TensorFlow, PyTorch)
Experience with data science tools (Pandas, NumPy)
Other Requirements:
Strong algorithmic skills
Experience in data analysis
Solid foundation in machine learning and deep learning concepts
Curiosity, analytical mindset, and scientific rigor
Responsibilities:
Research and development focused on machine learning and NLP
Design and develop prototypes and initial implementations
Analyze and optimize algorithms for AI applications
Work with diverse datasets to train models
Write clear technical and scientific documentation
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Senior Clinical AI Specialist
Streamline clinical documentation and gain deep therapeutic insights with an AI note taker that generates compliant progress notes and tracks clinical patterns.
Benefits:
Work at intersection of psychotherapy, AI, and technology
Collaborative international team
Remote-first, flexible environment
Competitive pay based on experience
Education Requirements:
Licensed (or formerly licensed) mental health clinician
Experience Requirements:
Direct clinical experience providing therapy
Demonstrated experience with LLMs and prompt crafting
Experience supervising other clinicians (preferred)
Other Requirements:
Ability to code in Python
Understanding of clinical documentation standards (ICD, CPT, DSM-5)
Familiarity with insurance compliance requirements in the US
Experience with embeddings, RAGs, JavaScript, or SQL (nice-to-have)
Responsibilities:
Lead design, testing, and optimization of clinical AI prompts
Collaborate with ML Engineers on prompt experiments
Review AI-generated clinical content for accuracy
Monitor for issues like prompt drifting and hallucinations
Maintain a version-controlled prompt library
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Enterprise Solutions Architect
Build high-performance AI applications with ultra-fast inference for open-source models, offering serverless and on-demand GPU scaling for developers and teams.
Education Requirements:
Bachelor's degree in Computer Science or a related field
Master's or PhD in Computer Science, Machine Learning, or a related field (preferred)
Experience Requirements:
7+ years in a customer-facing technical architecture role
3+ years in a pre-sales or consulting capacity
Deep, hands-on expertise with the LLM stack
Experience building AI/ML solutions in enterprise environments (preferred)
Proven track record of closing complex deals (preferred)
Other Requirements:
Expertise in Python
Familiarity with cloud infrastructure (AWS, GCP, Azure)
Open to a hybrid schedule with in-office days on Monday, Wednesday, and Friday
Responsibilities:
Serve as primary technical trusted advisor for CTOs and VPs of Engineering
Lead and own the technical sales cycle and PoCs
Build and nurture relationships with technical champions
Synthesize customer feedback for Product and Engineering teams
Develop authoritative technical content like reference architectures
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Applied Machine Learning Engineer
Build high-performance AI applications with ultra-fast inference for open-source models, offering serverless and on-demand GPU scaling for developers and teams.
Benefits:
Meaningful equity
Competitive salary
Comprehensive benefits package
Education Requirements:
Bachelor’s degree in Computer Science, Engineering, or a related technical field
Master’s degree in Computer Science, Engineering, or a related technical field (preferred)
Experience Requirements:
5+ years of experience in a software engineering role
Customer-facing experience
Demonstrated ability to lead and execute complex technical projects
Hands-on experience fine-tuning machine learning models (preferred)
Other Requirements:
Proficiency in Python
Strong interpersonal and communication skills
Open to a hybrid schedule with in-office days on Monday, Wednesday, and Friday
Responsibilities:
Collaborate directly with the GTM team for integration and successful deployment
Build and present compelling PoCs for AI technology
Design, develop, and deploy end-to-end AI-powered applications
Contribute to internal ML platform features and resolve issues
Integrate and enable new machine learning models into the platform
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Frontend Software Engineering Lead
Build high-performance AI applications with ultra-fast inference for open-source models, offering serverless and on-demand GPU scaling for developers and teams.
Education Requirements:
Bachelor’s degree in Computer Science or a related field
Experience Requirements:
6+ years of professional experience in front-end development
2+ years of experience in a leadership role
Proven track record of delivering production-grade web applications
Other Requirements:
Proficiency in React, TypeScript, JavaScript, and Next.js
Knowledge of accessibility standards and internationalization
Experience in full-stack development and API design (preferred)
Must work full-time on-site at San Mateo office
Responsibilities:
Engineering ownership of fireworks.ai web application
Design, development, and testing of responsive web applications
Mentor and support a team of front-end engineers
Define and implement front-end architectural standards
Partner with Product, Design, and Backend Engineering
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Member of Technical Staff, AI Training Infrastructure
Build high-performance AI applications with ultra-fast inference for open-source models, offering serverless and on-demand GPU scaling for developers and teams.
Benefits:
Meaningful equity
Competitive salary
Comprehensive benefits package
Education Requirements:
Bachelor's degree in Computer Science, Computer Engineering, or related field
Master's or PhD in Computer Science or related field (preferred)
Experience Requirements:
3+ years of experience with distributed systems and ML infrastructure
Experience with PyTorch
Experience with containerization and orchestration (Kubernetes, Docker)
Experience training LLMs or multimodal AI systems (preferred)
Other Requirements:
Proficiency in cloud platforms (AWS, GCP, Azure)
Knowledge of distributed training techniques (FSDP, parallelism)
Must work full-time on-site at San Mateo office
Responsibilities:
Design and implement scalable infrastructure for model training
Develop and maintain distributed training pipelines
Optimize training performance across multiple GPUs and nodes
Implement monitoring, logging, and debugging tools
Architect data storage solutions for training datasets
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Member of Technical Staff, Performance Optimization
Build high-performance AI applications with ultra-fast inference for open-source models, offering serverless and on-demand GPU scaling for developers and teams.
Benefits:
Meaningful equity
Competitive salary
Comprehensive benefits package
Education Requirements:
Bachelor’s degree in Computer Science, Computer Engineering, or Electrical Engineering
Master’s or PhD in Computer Science, Electrical Engineering, or related field (preferred)
Experience Requirements:
5+ years of experience in performance optimization or HPC
Proficiency in CUDA or ROCm
Experience with GPU profiling tools (Nsight, nvprof)
Familiarity with PyTorch
Experience with distributed system debugging
Other Requirements:
Deep understanding of GPU architecture
Must work full-time on-site at San Mateo office
Responsibilities:
Optimize system and GPU performance for AI workloads
Analyze latency, throughput, memory, and compute efficiency
Profile and resolve GPU- and kernel-level bottlenecks
Implement low-level optimizations using CUDA or Triton
Scale inference and training across multi-GPU environments
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Member of Technical Staff, Cloud Infrastructure
Build high-performance AI applications with ultra-fast inference for open-source models, offering serverless and on-demand GPU scaling for developers and teams.
Benefits:
Meaningful equity
Competitive salary
Comprehensive benefits package
Education Requirements:
Bachelor’s degree in Computer Science, Engineering, or a related technical field
Master’s or PhD in Computer Science or related field (preferred)
Experience Requirements:
5+ years of experience building backend infrastructure in cloud environments
Proven experience in ML infrastructure and tooling (PyTorch, Kubernetes)
Experience leading infrastructure projects (preferred)
Track record of driving system performance and cost-efficiency (preferred)
Other Requirements:
Software development skills in Python or C++
Deep understanding of distributed systems fundamentals
Open to a hybrid schedule with in-office days on Monday, Wednesday, and Friday
Responsibilities:
Architect and build backend infrastructure for training and inference
Lead technical design discussions and mentor engineers
Design core services like job schedulers and autoscalers
Drive infrastructure optimization and compute cost reduction
Integrate cloud-native and open-source technologies (K8s, MLFlow)
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Security Engineer
Build high-performance AI applications with ultra-fast inference for open-source models, offering serverless and on-demand GPU scaling for developers and teams.
Experience Requirements:
3 to 7 years of experience in software or security engineering
Hands-on experience with Kubernetes, Docker, and containerized environments
Solid experience working in Linux environments
Experience designing zero-trust architectures (preferred)
Experience securing LLM/ML platforms (preferred)
Other Requirements:
Proficient in Python and/or Go
Familiarity with modern identity controls (SAML, OAuth)
Open to a hybrid schedule with in-office days on Monday, Wednesday, and Friday
Responsibilities:
Design and build security-focused software to protect customer data
Perform security reviews of cloud-native architectures
Embed security into CI/CD pipelines using DevSecOps
Develop in-house security tooling and automation
Operate vulnerability management and incident response programs
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Tech Lead, Web Core Product & Chrome Extension
Transform any text into high-quality audio with natural-sounding AI voices to increase reading speed and productivity for students, professionals, and creators.
Benefits:
A fast-growing environment where you can help shape the culture
An entrepreneurial crew that supports risk, intuition, and hustle
A hands-off approach so you can focus and do your best work
The opportunity to make an impact in a transformative industry
A competitive salary and bonus
Experience Requirements:
Built and ship products that have scaled to thousands or millions of users
Customer obsession and passion for high quality product
Ability to work quickly to generate ideas
Experience collaborating with designers, marketers, and PMs
Other Requirements:
Vanilla JS
ReactJS
Redux
Firebase
Typescript
Responsibilities:
Actively ship production code to the web products
Work closely with your dedicated product team
Participate in product discussions to shape the product roadmap
Work on new and exciting features that will impact millions of lives
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Applied AI Engineer & Researcher
Transform any text into high-quality audio with natural-sounding AI voices to increase reading speed and productivity for students, professionals, and creators.
Benefits:
A fast-growing environment where you can help shape the culture
An entrepreneurial crew that supports risk, intuition, and hustle
A hands-off approach so you can focus and do your best work
The opportunity to make an impact in a transformative industry
A competitive salary and bonus
Experience Requirements:
Research and development in NLP or TTS or CV with focus on image generation
Experience in ML
Other Requirements:
Experience deploying NLP or TTS models to production at scale (preferred)
Experience managing engineers and growing a research team (preferred)
Programming in Python: Tensorflow and PyTorch frameworks (preferred)
Responsibilities:
Researching and implementing state-of-the-art in NLP and TTS or CV
Building the most human sounding AI speech model in the world
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AI Engineer & Researcher, Inference
Transform any text into high-quality audio with natural-sounding AI voices to increase reading speed and productivity for students, professionals, and creators.
Benefits:
A dynamic environment where your contributions shape the company and its products
A team that values innovation, intuition, and drive
Autonomy, fostering focus and creativity
The opportunity to have a significant impact in a revolutionary industry
Competitive compensation
Experience Requirements:
Experience shipping Python-based services
Responsible for the successful operation of a critical production service
Experience with public cloud environments, GCP preferred
Experience with Infrastructure such as Code, Docker, and containerized deployments
Other Requirements:
Experience deploying high-availability applications on Kubernetes (preferred)
Experience deploying ML models to production (preferred)
Responsibilities:
Work alongside machine learning researchers, engineers, and PMs
Deploy and operate core ML inference workloads
Introduce new techniques and tools to improve performance, throughput, and efficiency
Build tools for visibility into bottlenecks and design solutions
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Software Engineer, iOS Core Product
Transform any text into high-quality audio with natural-sounding AI voices to increase reading speed and productivity for students, professionals, and creators.
Benefits:
A fast-growing environment where you can help shape the company and product
An entrepreneurial crew that supports risk, intuition, and hustle
The opportunity to make a big impact in a transformative industry
A competitive salary and bonus
Support people with learning differences like Dyslexia, ADD, and Low Vision
Experience Requirements:
Worked on products that scaled to a large user base
Track record of working on products from inception to traction
Responsible for engineering the product
Other Requirements:
Swift Programming Language
SwiftUI experience
Experience in Multithreading Programming
Working with CI/CD infrastructure
Experience with Fastlane
SOLID principles
Experience with Git
Responsibilities:
Opportunity to lead key engineering and product decisions
Actively shipping production code for the Speechify iOS app
Work within a dedicated product team
Participate in product discussions to shape the product roadmap
Maintain and enhance the existing complex app architecture
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Software Engineer, Platform
Transform any text into high-quality audio with natural-sounding AI voices to increase reading speed and productivity for students, professionals, and creators.
Benefits:
A dynamic environment where your contributions shape the company and its products
A team that values innovation, intuition, and drive
Autonomy, fostering focus and creativity
The opportunity to have a significant impact in a revolutionary industry
Competitive compensation and bonus
Experience Requirements:
Proven experience in backend development: TS/Node (required)
Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
Other Requirements:
Efficiency in ideation and implementation
Experience with Docker and containerized deployments (preferred)
Proficiency in deploying high availability applications on Kubernetes (preferred)
Responsibilities:
Design, develop, and maintain robust APIs including public TTS API
Oversee the full backend API landscape
Collaborate on B2B solutions for enterprise clients
Work closely with cross-functional teams to align backend architecture
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