Backend Engineer – AI (Agent Systems)
⚲ Warszawa
Do uzgodnienia
Wymagania
- Python
- Node.js
- PyTorch
- OpenAI
- Anthropic
- Kubernetes
- Docker
- SQL
- NoSQL
Opis stanowiska
Nasze wymagania:
Has strong commercial experience in Backend Engineering
Has built and maintained production-grade distributed systems
Understands scalable backend architecture and API design
Has experience with high-throughput, low-latency applications
Is familiar with AI inference, Large Language Models (LLMs), embeddings, or multimodal systems
Enjoys solving performance, reliability, and scalability challenges
Takes ownership and thrives in fast-moving, product-focused environments
Is proactive, pragmatic, and enjoys learning from real production systems
Communicates effectively and enjoys collaborating with cross-functional teams
Mile widziane:
Experience with Python, Node.js, PyTorch
Familiarity with OpenAI, Anthropic, or open-source LLMs
Experience with Kubernetes, Docker, SQL, and NoSQL databases
Exposure to AI infrastructure, model serving, or inference optimisation
O projekcie:
Imagine building the infrastructure behind an AI product designed to help billions of people get things done faster and smarter.
We’re looking for a Backend Engineer – AI to develop the systems that power every AI interaction behind the scenes. You’ll build the orchestration and inference layer that transforms cutting-edge AI models into reliable, production-ready services used by real users every day.
If you’re passionate about distributed systems, high-performance backend engineering, and the future of AI…
Feel invited! This is your chance to help shape the next generation of intelligent products.
Zakres obowiązków:
Design, build, and operate backend systems powering AI-driven product features
Develop inference pipelines and orchestration layers for Large Language Models
Build scalable APIs that connect AI capabilities with web and mobile applications
Improve system performance by optimising latency, throughput, caching, batching, and streaming
Ensure production reliability through monitoring, logging, alerting, and incident response
Collaborate closely with Machine Learning, Product, and Frontend teams to deliver end-to-end solutions
Continuously improve platform scalability, observability, and operational excellence
Drive engineering best practices across AI infrastructure and backend services
Oferujemy:
Full-time employment
100% remote work
Opportunity to build an AI-native product with global ambitions
Work with state-of-the-art AI technologies and modern backend infrastructure
High ownership and autonomy from day one
Collaboration with an exceptional engineering team passionate about innovation
Fast-paced environment where your ideas have real impact
Opportunity to solve complex engineering challenges at scale
Has strong commercial experience in Backend Engineering
Has built and maintained production-grade distributed systems
Understands scalable backend architecture and API design
Has experience with high-throughput, low-latency applications
Is familiar with AI inference, Large Language Models (LLMs), embeddings, or multimodal systems
Enjoys solving performance, reliability, and scalability challenges
Takes ownership and thrives in fast-moving, product-focused environments
Is proactive, pragmatic, and enjoys learning from real production systems
Communicates effectively and enjoys collaborating with cross-functional teams
Mile widziane:
Experience with Python, Node.js, PyTorch
Familiarity with OpenAI, Anthropic, or open-source LLMs
Experience with Kubernetes, Docker, SQL, and NoSQL databases
Exposure to AI infrastructure, model serving, or inference optimisation
O projekcie:
Imagine building the infrastructure behind an AI product designed to help billions of people get things done faster and smarter.
We’re looking for a Backend Engineer – AI to develop the systems that power every AI interaction behind the scenes. You’ll build the orchestration and inference layer that transforms cutting-edge AI models into reliable, production-ready services used by real users every day.
If you’re passionate about distributed systems, high-performance backend engineering, and the future of AI…
Feel invited! This is your chance to help shape the next generation of intelligent products.
Zakres obowiązków:
Design, build, and operate backend systems powering AI-driven product features
Develop inference pipelines and orchestration layers for Large Language Models
Build scalable APIs that connect AI capabilities with web and mobile applications
Improve system performance by optimising latency, throughput, caching, batching, and streaming
Ensure production reliability through monitoring, logging, alerting, and incident response
Collaborate closely with Machine Learning, Product, and Frontend teams to deliver end-to-end solutions
Continuously improve platform scalability, observability, and operational excellence
Drive engineering best practices across AI infrastructure and backend services
Oferujemy:
Full-time employment
100% remote work
Opportunity to build an AI-native product with global ambitions
Work with state-of-the-art AI technologies and modern backend infrastructure
High ownership and autonomy from day one
Collaboration with an exceptional engineering team passionate about innovation
Fast-paced environment where your ideas have real impact
Opportunity to solve complex engineering challenges at scale
🔍 Dekoder Ogłoszenia
🟡
Has strong commercial experience in Backend Engineering
Oczekuje się, że kandydat ma znaczące doświadczenie w tworzeniu komercyjnych aplikacji backendowych, a nie tylko akademickie lub hobbystyczne.
🟡
Has built and maintained production-grade distributed systems
Oznacza to pracę z systemami, które są już wdrożone i aktywnie używane przez użytkowników, a nie tylko prototypami.
🔴
Enjoys solving performance, reliability, and scalability challenges
Może sugerować, że projekt boryka się z problemami w tych obszarach, a kandydat będzie musiał je aktywnie rozwiązywać.
🔴
Takes ownership and thrives in fast-moving, product-focused environments
Może oznaczać dużą odpowiedzialność, szybkie tempo pracy i częste zmiany priorytetów w celu dostarczenia produktu.
🔴
Is proactive, pragmatic, and enjoys learning from real production systems
Może oznaczać, że systemy nie są idealne i kandydat będzie musiał uczyć się na błędach i niedoskonałościach istniejących rozwiązań.