Praca w miastach:Praca IT Warszawa•Praca IT Kraków•Praca IT Wrocław•Praca IT Szczecin•Praca IT Poznań•Praca IT Lublin•Praca IT Katowice•Praca IT Bydgoszcz•Praca IT Łódź•Praca IT Białystok•Praca IT Toruń•Praca IT Gdańsk
Stanowiska:Grafik komputerowy praca•Tester gier praca•Programista praca•Tester oprogramowania praca•Frontend Developer praca•Data scientist praca•Tester manualny praca•Tester praca•Analytics praca•Tester aplikacji praca•Programista java praca•Web developer praca
Technologie i narzędzia:Python praca•Cyberbezpieczeństwo praca•Java praca•Bazy danych praca•Cisco praca•C++ praca•Javascript praca•SQL praca•Business Intelligence praca•Delphi praca•Wordpress praca•Testowanie aplikacji praca•C# praca•PHP praca
Specjalizacje:Backend praca•Devops praca•Frontend praca•Full-stack praca•GameDev praca•Mobile praca•Embedded praca•Architecture praca•QA/Testing praca•Security praca•AI/ML praca•Big data science praca•Helpdesk praca•IT admin praca•Agile praca•Product Management praca•Project Management praca•UX/UI praca•Business analytics praca•SAP & ERP praca•System analytics praca•PO/PM praca•Scrum master praca•Analityka praca•Data analytics & BI praca
Offer summary
(Summary generated by AI based on the full job description)
The project focuses on developing an AI-native assistant supporting user communication and complex workflows. The technology stack includes Python, PyTorch, JAX, LLMs (OpenAI, LLaMA, Qwen), vLLM and vector databases. Responsibilities cover building and deploying AI features end-to-end, designing prompts and memory systems, optimizing performance and troubleshooting production issues. Effective collaboration with product and engineering teams is key to delivering reliable ML-based solutions.
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
Operating system
Windows
Our requirements
- Strong foundations in Machine Learning and modern neural network architectures.
- Hands-on experience training, fine-tuning or deploying Machine Learning models.
- Ability to write clean, maintainable and production-quality code.
- Confidence working across multiple abstraction layers—from models and infrastructure to product behavior.
- Strong problem-solving skills in ambiguous and rapidly changing environments.
- A delivery-oriented mindset focused on shipping, measuring, iterating and continuously improving production systems.
Your responsibilities
- Build and ship AI features end-to-end, from the model and supporting systems to the user experience.
- Design and continuously improve prompts, tools, memory systems and agent workflows.
- Transform raw model outputs into structured, reliable and predictable product behavior.
- Diagnose and resolve issues across models, orchestration, infrastructure and user experience.
- Optimize systems for latency, operational cost and production reliability.
- Develop lightweight evaluation frameworks to measure real-world model and product performance.
- Work closely with product and engineering teams to transform ambiguous problems into production-ready systems.
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 an Applied AI Engineer, you will turn model capabilities into reliable product behavior. You will own problems end-to-end—from shaping model behavior and building the surrounding systems to ensuring that everything performs effectively in production.
The position sits at the intersection of Machine Learning, systems engineering and product development. The focus is on making AI deliver real value to users in production environments—not only in prototypes and demonstrations.
What success looks like?
Technology stack:
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
Applied AI Engineer
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.