AI Platform Engineer
AiphoriaUnited Kingdom3 hours ago
Full-timeRemote FriendlyEngineering, Information Technology
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Aiphoria is an innovative start-up specializing in machine learning and AI solutions.
We are a one-stop shop for customers who want to enhance their business with proven, up-to-date solutions based on conversational AI, LLMs, natural language, and speech processing. We offer solutions based on virtual employees (virtual supporters, sales managers, personal assistants, etc), goal-oriented conversational AI, ASR/TTS solutions, and many others.
Our team brings huge of cutting-edge, specialized expertise in Machine Learning and Speech Technologies, which are used daily by hundreds of millions of people worldwide.
We are now expanding our platform team and are looking for a Senior Platform Engineer who can architect and scale our core infrastructure to support millions of concurrent AI interactions.
Requirements
Pragmatic engineering approach: Balance speed and quality by shipping working solutions quickly when needed, while keeping code clear and maintainable over clever abstractions
Strong programming skills in Python (expert level with type systems and modern ecosystem) and NodeJS
Production-scale distributed systems experience: Building and operating micro-services architectures with service discovery, API gateways, event-driven patterns, and proven ability to handle large-scale production workloads
Real-time systems and observability expertise: Experience with streaming architectures, message queues, low-latency optimization, plus deep knowledge of distributed tracing, metrics aggregation, and log analysis at scale
Strategic thinking: For critical architectural decisions, you invest time to evaluate multiple approaches, present top candidates with trade-offs, and document why alternatives were rejected
Outstanding technical communication: Ability to clearly explain complex architectural decisions, write comprehensive documentation, facilitate productive technical discussions, and effectively communicate with both engineering teams and stakeholders
Responsibilities
Architect high-performance real-time systems: Design micro-services and streaming architectures that handle millions of concurrent voice/text AI interactions with ultra-low latency
Create foundational platform components: Build reusable infrastructure blocks (rate limiters, service mesh, circuit breakers), developer tools (APIs, SDKs), and observability solutions that enable teams to ship AI features rapidly
Optimize AI infrastructure end-to-end: Manage GPU clusters, design model serving pipelines, implement vector similarity search, and collaborate with ML engineers to ensure efficient model deployment and inference
Enable engineering excellence: Establish platform standards, deployment patterns, and self-service automation that empower product teams to move fast while maintaining reliability
What We Offer
High-impact projects with prominent clients and our proprietary AI platform development
Cutting-edge technology stack with the latest tools in AI infrastructure and platform engineering
Budgets for the latest AI models (GPT-4, Claude, etc.) to ensure our team has the best tools available
Rapid career progression working alongside senior professionals from leading tech companies
Remote work flexibility from anywhere globally
Direct influence on platform architecture decisions that shape our AI products
We are a one-stop shop for customers who want to enhance their business with proven, up-to-date solutions based on conversational AI, LLMs, natural language, and speech processing. We offer solutions based on virtual employees (virtual supporters, sales managers, personal assistants, etc), goal-oriented conversational AI, ASR/TTS solutions, and many others.
Our team brings huge of cutting-edge, specialized expertise in Machine Learning and Speech Technologies, which are used daily by hundreds of millions of people worldwide.
We are now expanding our platform team and are looking for a Senior Platform Engineer who can architect and scale our core infrastructure to support millions of concurrent AI interactions.
Requirements
Pragmatic engineering approach: Balance speed and quality by shipping working solutions quickly when needed, while keeping code clear and maintainable over clever abstractions
Strong programming skills in Python (expert level with type systems and modern ecosystem) and NodeJS
Production-scale distributed systems experience: Building and operating micro-services architectures with service discovery, API gateways, event-driven patterns, and proven ability to handle large-scale production workloads
Real-time systems and observability expertise: Experience with streaming architectures, message queues, low-latency optimization, plus deep knowledge of distributed tracing, metrics aggregation, and log analysis at scale
Strategic thinking: For critical architectural decisions, you invest time to evaluate multiple approaches, present top candidates with trade-offs, and document why alternatives were rejected
Outstanding technical communication: Ability to clearly explain complex architectural decisions, write comprehensive documentation, facilitate productive technical discussions, and effectively communicate with both engineering teams and stakeholders
Responsibilities
Architect high-performance real-time systems: Design micro-services and streaming architectures that handle millions of concurrent voice/text AI interactions with ultra-low latency
Create foundational platform components: Build reusable infrastructure blocks (rate limiters, service mesh, circuit breakers), developer tools (APIs, SDKs), and observability solutions that enable teams to ship AI features rapidly
Optimize AI infrastructure end-to-end: Manage GPU clusters, design model serving pipelines, implement vector similarity search, and collaborate with ML engineers to ensure efficient model deployment and inference
Enable engineering excellence: Establish platform standards, deployment patterns, and self-service automation that empower product teams to move fast while maintaining reliability
What We Offer
High-impact projects with prominent clients and our proprietary AI platform development
Cutting-edge technology stack with the latest tools in AI infrastructure and platform engineering
Budgets for the latest AI models (GPT-4, Claude, etc.) to ensure our team has the best tools available
Rapid career progression working alongside senior professionals from leading tech companies
Remote work flexibility from anywhere globally
Direct influence on platform architecture decisions that shape our AI products
Key Skills
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