Remote IT jobs, page 35

You will own the backend systems that power AI interactions, sitting between models and users to ensure speed and correctness. The work involves designing inference pipelines and service boundaries that turn model capabilities into stable APIs for mobile and desktop clients. The team prioritizes high reliability for long-running workflows and persistent context, aiming to reduce hallucinations and minimize prompting. You will handle production concerns including monitoring, logging, and incident response to maintain system stability at scale.

• Backend + AI focus
• Python & Node.js
• Kubernetes & Docker
• Small high-density team

You will own the backend infrastructure that powers AI interactions, sitting between machine learning models and end users. Your primary focus is turning model capabilities into stable, observable APIs for mobile and desktop clients while managing latency, correctness, and cost. The team builds proactive applications that integrate intelligence into daily workflows like email and calendar management without requiring complex prompting. You will design inference pipelines and service boundaries to ensure the system handles production traffic efficiently.

• Backend + AI Infrastructure
• Python & Node.js
• Kubernetes & Docker
• Small high-impact team

You will own the backend systems that power AI interactions, sitting between large language models and end users. Your work ensures that inference pipelines are fast, stable, and observable, directly impacting the reliability and cost of the product. The team builds proactive applications that integrate intelligence into daily workflows with minimal prompting. You will design service boundaries, optimize caching and streaming, and handle production concerns like monitoring and incident response.

• Backend Engineer, AI
• Python & Node.js
• LLM Orchestration
• Fully remote potential

You will own the backend infrastructure that powers AI interactions, sitting between machine learning models and end users. Your focus is on turning model capabilities into stable, observable APIs for mobile and desktop clients while ensuring reliability and cost efficiency. The team builds proactive applications that integrate intelligence into daily workflows like email and calendar management. You will design inference pipelines and service boundaries, optimizing for speed and throughput in a distributed environment.

• Backend + AI Infrastructure
• Python & Node.js
• Kubernetes & Docker
• Small high-impact team

You will own the backend infrastructure that powers AI interactions, sitting between machine learning models and end users. Your primary focus is turning model capabilities into stable, fast APIs for mobile and desktop clients while managing production concerns like monitoring and incident response. The team builds proactive applications that integrate intelligence into daily workflows with minimal prompting. You will design inference pipelines, optimize throughput via caching and batching, and ensure system reliability at scale.

• Backend Engineer, AI
• Python & Node.js
• LLM orchestration
• Production systems

You will own the backend systems that power AI interactions, sitting between large language models and end users. Your work ensures that inference pipelines are fast, stable, and cost-effective, directly impacting the real-world experience of millions of users. The team builds proactive applications for daily communication and coordination, aiming to eliminate the need for complex prompting. You will design service boundaries, optimize caching and streaming, and maintain production reliability through robust monitoring and incident response.

• Backend + AI Infrastructure
• Python & Node.js
• Kubernetes & Docker
• High-throughput systems

You will own the backend infrastructure that powers AI interactions, sitting between machine learning models and end users. Your primary focus is turning model capabilities into stable, observable APIs for mobile and desktop clients while managing latency, correctness, and cost. The team builds proactive applications that integrate intelligence into daily workflows like email and calendar management without requiring complex prompting. You will design inference pipelines, optimize throughput, and ensure system reliability through robust monitoring and incident response.

• Backend Engineer, AI
• Python & Node.js
• LLM orchestration
• Small high-impact team

You will own the backend systems that power AI interactions, sitting between large language models and end users. Your primary goal is to ensure reliability, correctness, and speed while turning model capabilities into stable APIs for mobile and desktop clients. The team builds proactive applications that integrate intelligence into daily workflows like email and tasks, aiming to reduce coordination costs and eliminate the need for complex prompting.

• Backend + AI Infrastructure
• Python & Node.js
• Kubernetes & Docker
• High-throughput systems

You will own the backend systems that power AI interactions, sitting between large language models and end users. Your primary goal is to transform model capabilities into stable, observable APIs for mobile and desktop clients while ensuring reliability and cost efficiency. The team builds proactive applications that integrate intelligence into daily workflows like email and calendar management. You will design inference pipelines and service boundaries, optimizing for speed and correctness in a production environment.

• Backend + AI Infrastructure
• Python & Node.js
• Kubernetes & Docker
• Small high-impact team

You will work at the intersection of large language models, software engineering, and product design. Your main focus is turning AI capabilities into reliable user experiences by designing agent workflows and improving model behavior. The team aims to eliminate misinformation and reduce coordination costs by building proactive applications that require minimal prompting. You will own problems end-to-end, from understanding user needs to deploying evaluation systems in production.

• LLM & Agent focus
• Python stack
• Production AI systems

Actai is building AI-native applications for everyday tasks like email and calendar management, aiming to eliminate complex prompting. As an Applied AI Engineer, you will bridge machine learning, systems, and product to ensure AI works reliably in real-world usage. You will own problems from shaping model behavior to ensuring production performance.

• Python + PyTorch
• LLM integration
• Agent workflows
• Production focus

You will work at the intersection of large language models, software engineering, and product design. Your main focus is turning AI capabilities into reliable user experiences by designing agent workflows and improving model behavior. The team aims to eliminate misinformation and reduce coordination costs through proactive applications that require minimal prompting. You will own problems end-to-end, from understanding user needs to building evaluation systems and optimizing production performance.

• LLM & Agent focus
• Python stack
• Production AI systems

You will work at the intersection of large language models, software engineering, and product design. Your main focus is turning AI capabilities into reliable user experiences by designing agent workflows, improving model behavior, and building evaluation systems. The team aims to eliminate misinformation and reduce coordination costs by bringing intelligence to daily conversations and workflows with minimal prompting. You will own problems end-to-end, from understanding user needs to optimizing AI systems in production.

• LLM & Agent focus
• Python stack
• Build AI workflows
• Production quality code

Actai is building AI-native applications for daily tasks like email and calendar management, aiming to eliminate the need for complex prompting. As an Applied AI Engineer, you will bridge machine learning, systems, and product to ensure AI works reliably in real-world scenarios. You will own problems from shaping model behavior to deploying production systems. The team values rapid shipping, collective decision-making, and independent execution to deliver high-quality AI products to billions of users.

• Applied AI Engineer
• Python + PyTorch
• LLM integration
• End-to-end ownership

You will own problems end-to-end, from shaping model behavior to ensuring reliable performance in production. The team builds AI-native applications for daily communication and coordination, aiming to eliminate misinformation and reduce coordination costs through intelligent agents.

• Applied AI Engineer
• Python + PyTorch
• LLM integration
• Agent workflows

You will work at the intersection of large language models, software engineering, and product design. Your main focus is turning AI capabilities into reliable user experiences by designing agent workflows and improving model behavior. The team aims to eliminate misinformation and reduce coordination costs through proactive applications that require minimal prompting. You will own problems end-to-end, from understanding user needs to building evaluation systems and optimizing production performance.

• LLM & Agent focus
• Python stack
• Production AI systems

You will work at the intersection of large language models, software engineering, and product design. Your main focus is turning AI capabilities into reliable user experiences by designing agent workflows and improving model behavior. The team aims to eliminate misinformation and reduce coordination costs by building proactive applications that require minimal prompting. You will own problems end-to-end, from understanding user needs to deploying evaluation systems in production.

• LLM & Agent focus
• Python stack
• Production AI systems

You will work at the intersection of large language models, software engineering, and product design. Your main focus is turning AI capabilities into reliable user experiences by designing agent workflows and improving model behavior. The team aims to eliminate misinformation and reduce coordination costs by building proactive applications that require minimal prompting. You will own problems end-to-end, from understanding user needs to deploying evaluation systems in production.

• LLM & Agent focus
• Python stack
• Senior level

Actai is developing AI-native applications for everyday tasks like email and calendar management, starting with a mobile communication app. The goal is to integrate intelligence into workflows without requiring complex prompting from users. As an Applied AI Engineer, you will bridge machine learning, systems, and product. You are responsible for shipping AI features that perform reliably in real-world usage, optimizing for latency and cost while ensuring high-quality user experiences.

• Python + PyTorch
• LLM engineering
• Agent workflows
• Production ML

Join ActAI to develop proactive, AI-native applications that simplify communication and coordination without complex prompting. You will engineer the core intelligence layer, focusing on turning probabilistic model outputs into safe, predictable actions for daily user tasks.

• LLM & Agent focus
• Python stack
• End-to-end ownership
• Production AI systems

You will work at the intersection of large language models, software engineering, and product design. Your main focus is turning AI capabilities into reliable user experiences by designing agent workflows and improving model behavior. The team aims to eliminate misinformation and reduce coordination costs through proactive applications that require minimal prompting. You will own problems end-to-end, from understanding user needs to building evaluation systems and optimizing production performance.

• LLM & Agent focus
• Python stack
• Production AI systems

Actai is building AI-native applications for everyday tasks like email, notes, and calendar management. Their first product is an agent-first mobile app designed to integrate intelligence into daily communication and workflows without complex prompting. As an Applied AI Engineer, you will own problems end-to-end, from shaping model behavior to ensuring reliable performance in production. The focus is on making AI work effectively for real-world users rather than just in demonstrations.

• Python + PyTorch
• LLM integration
• Agent workflows
• Production ML

Actai is building AI-native applications for everyday tasks like email and calendar management, aiming to eliminate the need for complex prompting. As an Applied AI Engineer, you will bridge machine learning, systems, and product to ensure AI works reliably in real-world usage. You will own problems from shaping model behavior to ensuring production reliability. The team values rapid shipping, collective decision-making, and independent execution to deliver high-quality AI products to billions of users.

• Applied AI Engineer
• Python + PyTorch
• LLM integration
• Agent workflows

Actai is building AI-native applications for everyday tasks like email and calendar management, aiming to eliminate complex prompting. As an Applied AI Engineer, you will bridge machine learning, systems, and product to ensure AI works reliably in real-world usage. You will own the full lifecycle of AI features, focusing on latency, cost, and production stability.

• Applied AI Engineer
• Python + PyTorch
• LLM & Agent workflows
• End-to-end ownership

You will work at the intersection of large language models, software engineering, and product design. Your main focus is turning AI capabilities into reliable user experiences by designing agent workflows and improving model behavior. The team is building proactive applications that integrate AI into daily communication and coordination tasks with minimal prompting. You will own problems end-to-end, from understanding user needs to deploying evaluation systems in production.

• LLM & Agent focus
• Python stack
• Production AI systems

Actai is building AI-native applications for everyday tasks like email and calendar management, starting with an agent-first mobile communication app. The goal is to integrate intelligence into daily workflows without requiring complex prompting from users. As an Applied AI Engineer, you will bridge machine learning, systems, and product. You will own the process from shaping model behavior to ensuring reliable performance in production, focusing on real-world usage rather than just demonstrations.

• Python + PyTorch
• LLM integration
• Agent workflows
• Production ML

You will work at the intersection of large language models, software engineering, and product design. Your main focus is turning AI capabilities into reliable user experiences by designing agent workflows and improving model behavior. The team aims to eliminate misinformation and reduce coordination costs through proactive applications that require minimal prompting. You will own problems end-to-end, from understanding user needs to building evaluation systems and optimizing production performance.

• LLM & Agent focus
• Python stack
• End-to-end ownership
• Production AI systems

Actai is developing AI-native applications for everyday tasks like email and calendar management, aiming to eliminate complex prompting. As an Applied AI Engineer, you will bridge machine learning, systems, and product to ensure AI works reliably in real-world scenarios. You will own the full lifecycle of AI features, focusing on latency, cost, and user experience.

• Python + PyTorch
• LLM engineering
• Agent workflows
• Production focus

You will own problems end-to-end, from shaping model behavior to building surrounding systems and ensuring reliable production performance. The team focuses on making AI work in real-world usage for daily communication, coordination, and collaboration tasks.

• Applied AI Engineer
• Python + PyTorch
• LLM integration
• Agent workflows

Actai is building AI-native applications for everyday tasks like communication and organization, aiming to eliminate the need for complex prompting. As an Applied AI Engineer, you will bridge machine learning, systems, and product to ensure AI works reliably in real-world usage. You will own problems from shaping model behavior to building surrounding systems and ensuring production performance. The team values rapid shipping, collective decision-making, and independent execution to deliver high-quality AI products globally.

• Fully remote role
• Python + PyTorch
• LLM integration
• End-to-end ownership

Actai is developing proactive, AI-native applications for daily tasks like communication and organization. Their first product is an agent-first mobile app designed to integrate intelligence into conversations and workflows with minimal prompting. As an Android Software Engineer, you own the client experience, ensuring AI interactions feel natural and performant. You will build a robust application where reliability and clarity are paramount, moving beyond simple thin-client architectures.

• Kotlin + AI integration
• 3+ years experience
• Small high-density team
• Production Android apps

You will own the Android client experience for Actai's proactive mobile application, ensuring AI interactions feel natural and performant. The work involves building a production-grade app where AI capabilities such as voice, vision, and recommendations are core to the user workflow. The team operates with high autonomy and speed, focusing on eliminating misinformation and reducing coordination costs through intelligent, minimal-prompting interfaces. You will collaborate closely with backend and ML engineers to define API contracts and optimize system behavior.

• Kotlin + AI integration
• 3+ years experience
• Small high-density team
• Production Android apps

You will own the Android client experience for Actai's proactive mobile application, ensuring AI interactions feel natural and performant. The work involves building a thick client where performance, reliability, and clarity are critical to daily user workflows. The team operates with high autonomy and collective decision-making, aiming to ship high-quality work rapidly. You will collaborate closely with backend and ML engineers to define API contracts and system behavior for AI-heavy flows.

• Android + Kotlin
• AI integration focus
• Small high-density team
• 3+ years experience

You will own the Android client experience for Actai's proactive mobile application, ensuring AI interactions feel natural and performant. The work involves building a thick client where performance, reliability, and clarity are critical to the product's success. The team aims to eliminate misinformation and reduce coordination costs by bringing intelligence to daily workflows with minimal prompting. You will collaborate closely with backend and ML engineers to define API contracts and system behavior.

• Kotlin + Android
• AI integration focus
• Small high-density team
• 3+ years experience

You will own the Android client experience for Actai's first product, an agent-first mobile communication app designed to integrate AI into daily workflows with minimal prompting. The role involves building a robust application where performance, reliability, and clarity are critical, rather than acting as a thin client for backend services. Working closely with backend and ML engineers, you will design UX patterns for AI interactions such as streaming responses and handle non-deterministic behaviors. The team values rapid execution, collective decision-making, and independent judgment to deliver a high-quality product to global users.

• Android + Kotlin
• AI-native mobile app
• 3+ years experience
• Small high-density team

You will own the Android client experience for Actai's first product, an agent-first mobile communication app designed to integrate AI into daily workflows with minimal prompting. The role involves building a robust application where performance, reliability, and clarity are critical, rather than acting as a thin client. The team operates with high talent density, making collective decisions and moving rapidly to ship high-quality work. You will collaborate closely with backend and ML engineers to define API contracts and ensure the app handles AI-heavy flows efficiently.

• Android + Kotlin
• AI-native mobile app
• Small high-impact team
• 3+ years experience

You will own the Android client experience for Actai's first product, an agent-first mobile communication app designed to integrate AI into daily workflows with minimal prompting. The role involves building a robust application where performance, reliability, and clarity are critical, rather than acting as a thin client for backend services. Working closely with backend and ML engineers, you will design UX patterns for AI interactions such as streaming responses and handle the complexities of non-deterministic behavior. The team values independent execution, collective decision-making, and rapid shipping of high-quality work.

• Kotlin + Android
• AI-native product
• 3+ years experience
• Small high-density team

You will own the Android client experience for Actai’s first product, an agent-first mobile communication app. The goal is to integrate AI into daily workflows like conversations and organization with minimal prompting. This is not a thin client role. You will build a robust application where performance, reliability, and clarity of AI behavior are critical. You will collaborate closely with backend and ML engineers to define API contracts and system behavior.

• Android + Kotlin
• AI-native mobile app
• Small high-talent team
• 3+ years experience

You will own the Android client experience for Actai's first product, an agent-first mobile communication app designed to integrate AI into daily workflows with minimal prompting. The role involves building a robust application where performance, reliability, and clarity are critical, rather than developing a thin client. The team operates with high talent density, making collective decisions and moving rapidly to ship high-quality work. You will collaborate closely with backend and ML engineers to define API contracts and ensure the app handles AI-heavy flows efficiently.

• Android + Kotlin
• AI-native mobile app
• Small high-density team
• 3+ years experience

You will own the Android client experience for Actai's proactive mobile application, ensuring AI features feel natural and performant. The work involves building robust interfaces for chat, vision, and voice capabilities while optimizing for low latency and reliability on mobile devices. The team operates with high autonomy and collective decision-making, aiming to integrate intelligence into daily workflows without complex prompting. You will collaborate closely with backend and ML engineers to define API contracts and system behaviors.

• Kotlin + Android
• AI-native product
• Small elite team
• 3+ years exp

You will identify opportunities to improve efficiency and decision-making by building AI solutions for internal operations. This position requires owning the end-to-end execution of tools, from concept to production, while working closely with various departments to solve ambiguous problems.

• AI internal tools
• Startup environment
• End-to-end ownership

You will identify opportunities to improve efficiency and decision-making by building AI solutions for internal operations. This position requires owning the end-to-end execution of tools, from concept to production, while collaborating with various departments to solve ambiguous problems.

• AI internal systems
• Startup environment
• End-to-end ownership

ActAI is developing proactive, AI-native applications that minimize the need for complex prompting. As a Full Stack Engineer, you will focus on internal systems, identifying opportunities to improve efficiency across departments like Recruiting and Finance. You will design and deploy intelligent automations that support better decision-making and reduce coordination costs.

• Full Stack Engineer
• AI internal tools
• Startup environment
• Senior team

You will develop AI-driven solutions to enhance efficiency and decision-making within ActAI's internal operations. This position requires identifying automation opportunities and translating business needs into technical products, working closely with various departments to solve complex problems.

• Backend / Full-stack focus
• AI internal systems
• Small senior team
• End-to-end ownership

You will develop internal applications that enhance efficiency and decision-making by integrating AI into core business processes. This position requires identifying automation opportunities and delivering end-to-end technical solutions for various departments.

• Backend Engineer role
• AI internal systems
• Small senior team
• End-to-end ownership

ActAI is developing proactive, AI-native applications to simplify daily tasks like communication and organization. As a Full Stack Engineer for AI Internal Systems, you will transform how the company operates by building intelligent tools that automate repetitive processes and support decision-making across various departments.

• Fully remote potential
• AI internal tools
• Full stack development
• Senior team culture

You will lead the development of internal AI solutions aimed at improving efficiency and decision-making across various business functions. The position requires identifying automation opportunities and translating business needs into technical products. Working in a fast-paced startup environment, you will own features end-to-end, from initial design discussions to production monitoring and iteration.

• Lead Engineer role
• Fully remote possible
• AI internal systems
• End-to-end ownership

Join Linro as one of the first infrastructure hires, taking over day-to-day platform operations. You will ensure reliability, reproducibility, and auditability for a real-time cloud security product that enforces policy across customer environments.

• Fully remote (Europe)
• AWS, Kubernetes, Go
• Early-stage startup
• On-call rotation

Join Voodoo's expanding studio to take the legacy hit Woodturning to the next level. You will work with industry veterans to create innovative features and manage the development cycle for a game with millions of downloads. As a Lead Game Developer, you will combine hands-on coding with technical leadership. Your goal is to maintain high coding standards while driving fast-paced development and collaborating with product and design teams.

• Lead Game Developer
• Unity expert
• Mobile gaming
• Technical leadership

As the first dedicated quality hire at Linro, you will design and own the test strategy for a real-time cloud security platform. You will ensure the correctness of the policy engine and integrations by building automated regression suites and managing test environments. The team works asynchronously across Europe, using AI agents daily. Your focus will be on creating reliable quality gates that distinguish between environment noise and genuine regressions in a rapidly evolving codebase.

• Fully remote (Europe)
• First QA hire
• Go + TypeScript
• Playwright & CI