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Offer summary
(Summary generated by AI based on the full job description)
The project focuses on an AI-native assistant enhancing communication and task execution. The core is the backend responsible for inference and orchestration of AI models, ensuring low latency and high throughput. Work involves Python, Node.js, PyTorch, Kubernetes, Docker and OpenAI and LLMs. Responsibilities include building and operating production systems, performance optimization, monitoring, and incident resolution.
from: 21 August 2026
to: 20 September 2026
salary not specifiedcontract of employment (full-time)
Offer parameters
level:mid • senior
working mode:remote
Warszawa, Śródmieście
Requirements
Expected technologies
Python
Node.js
PyTorch
Operating system
Windows
Our requirements
- Strong backend engineering fundamentals supported by experience with production systems.
- Experience building or operating high-throughput, low-latency services.
- Familiarity with AI inference patterns, including LLMs, embeddings and multimodal models.
- Confidence debugging distributed systems under load.
- Understanding of production observability, incident management and performance optimization.
- A delivery-oriented mindset focused on shipping, observing production behavior and improving through iteration.
- Ability to work independently and make pragmatic engineering decisions in an ambiguous environment.
Your responsibilities
- Build and operate backend systems serving AI-powered functionality in production.
- Design inference pipelines, orchestration layers and service boundaries around Machine Learning models.
- Take ownership of production monitoring, logging, alerting and incident response.
- Optimize latency and throughput across inference, caching, batching and streaming.
- Build reliable APIs supporting integration with mobile, frontend and Machine Learning systems.
- Diagnose distributed-system issues under production load.
- Continuously improve system performance and reliability using real-world production signals.
About the project
About the product:
Our client is developing an AI-native assistant designed to support everyday communication, organization, errands and complex workflows with minimal user input.
The product must reliably manage long-running processes, retain context, interact with external tools and complete real-world tasks despite the non-deterministic nature of modern AI models. The company’s objective is to make everyday activities significantly faster and easier for users.
About the role:
As a Backend Engineer specializing in AI systems, you will own the inference and orchestration layer behind the product’s AI interactions.
Your work will sit between models and end users, where latency, correctness, reliability and operating costs directly affect the product experience.
You will build and operate production systems that transform model capabilities into fast, stable and observable APIs used by mobile and desktop applications.
What success looks like?
Technology stack:
This is how we organize our work
This is how we work
at the client's siteagile
Particularly strong candidates may be fast-tracked directly to the technical interview stage based on their experience and previous work.
Applications are evaluated by members of the technical team. Interviews may be conducted virtually and, where relevant, onsite. The exact format and interviewers may vary.
The company aims to make decisions efficiently and provide candidates with a prompt outcome.
1. COMPENSATION AND EMPLOYEMENT
The position is offered under an employment contract.
Compensation is determined individually based on:
The compensation package consists of a base salary and equity. The company remains flexible when considering exceptional candidates.
A company laptop will be provided where required for the role.
2. REMOTE WORK AND GLOBAL COLLABORATION
The company operates as a remote-first, globally distributed organization.
There is no fixed company-wide working schedule and no requirement to follow one specific time zone. Team members are expected to maintain sufficient working-hours overlap with their immediate colleagues to collaborate effectively.
The successful candidate will work from Poland and collaborate with engineering, Machine Learning and product specialists located across different regions.
Poland-based employees join existing global teams rather than a separate local team. The exact reporting line and hiring manager will be confirmed during the recruitment process.
3. HOW THE TEAM WORKS?
The company believes that outstanding products are built by small, highly capable and hands-on teams. Decisions are made collaboratively, while individuals are expected to take ownership, exercise sound judgment and execute independently.
The team moves quickly while balancing product quality, experimentation and learning from real user behavior.
There is no fixed hiring quota for this position. The company is focused on hiring people who meet its technical and ownership standards rather than filling a predetermined number of seats.
Recruitment stages
- 1.Technical assessment, relevant to the candidate’s background
- 2.HR interview
- 3.One or more technical interviews
- 4.Founder or leadership interview
This is how we work
Backend Engineer, AI Agent Systems
I apply to:
Talentica
Warszawa, Śródmieście
Need more information?
- Make sure the body of the offer doesn’t already include what you’re looking for.
- Ask a question if you need more information you’re interested in.
- We’ll forward your question to the employer and aim to provide a response within 3 business days.