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Staff AI Engineer (LLM)

icon building Company : Tidio
icon briefcase Job Type : Full Time
icon remote-alt Remote / Work from Home

Number of Applicants

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Job Description - Staff AI Engineer (LLM)

Job description

Location: Poland

Contract: B2B

Salary: 33.000 - 38.000 PLN net B2B

How this role works:

You will start by building the system as part of our team, working in a focused, greenfield setup. After a few months of introduction to the project, you will seamlessly continue working on the same product directly with the client, becoming part of the client’s team responsible for its long-term development and scaling. There is no handover phase and no context switching - you stay with the same codebase, product, and technical challenges, while gaining long-term ownership and impact.

What you’ll work on:

  • Designing, implementing, and deploying end-to-end NLP and deep learning systems

  • Building LLM-powered applications that interact with real users

  • Developing and maintaining production Python services

  • Exposing models and pipelines via REST APIs (FastAPI, Flask)

  • Working on retrieval models and techniques (RAG, embeddings, ranking)

  • Evaluating, monitoring, and continuously improving model and system quality

  • Scaling systems to handle enormous volumes of requests

Biggest challenges in this role:

  • Greenfield project built from scratch

  • High-scale, user-facing systems with strict performance and reliability requirements

  • Designing systems meant for long-term ownership, not short-term delivery

  • Balancing model quality, latency, and cost in production LLM systems

What you’ll learn:

  • How to build LLM-powered products from scratch and take them to production

  • Proven approaches to running LLMs in production at scale

  • How to design, evaluate, and evolve NLP systems used by real users

  • Best practices for production ML and AI system architecture

What you’ll get to try and experiment with:

  • End-to-end ownership of LLM-based systems

  • Optimizing retrieval models, RAG pipelines, and inference workflows

  • Experimenting with different LLMs, prompting strategies, and system designs

  • Solving performance and reliability challenges under heavy traffic

Job requirements

Core requirements (all levels):

  • At least 6 years of experience in ML / AI engineering

  • Experience designing large-scale, production LLM architectures

  • Proven experience designing and deploying end-to-end NLP and deep learning solutions in production environments

  • Hands-on experience building LLM-powered production systems (e.g. GPT, Claude, Gemini), including prompt engineering, evaluation, fine-tuning, and user-facing integrations

  • Python proficiency with experience building and maintaining reliable production services and data pipelines

  • Strong software engineering mindset, including code quality, testing, scalability, and production deployments

  • Experience building RESTful APIs (FastAPI, Flask) to expose ML/LLM capabilities

  • Curiosity and commitment to continuous learning in the NLP/LLM/AI space

  • Collaborative team-player with strong communication skills

  • Ability to drive technical direction and mentor other engineers

You will earn extra points for experience with:

  • PyTorch, Hugging Face, and modern ML tooling for training and inference

  • MLOps practices and tooling

  • RAG systems, vector databases, and retrieval optimization

  • multiple LLM providers or open-source models

  • high-traffic, high-availability systems

We want to offer you:

  • Work with an experienced team that continually shares knowledge and is not afraid of testing new solutions

  • Remote-first work with flexible hours

  • Possibility to use one of our 2 offices in Poland (Warsaw or Szczecin), or book a Regus coworking space in your city

  • Individual work tools – Macbook Pro, Dell screen, JBL headphones? You can tailor the equipment to your needs

  • Sport & wellness benefit (Kafeteria MyBenefit)

  • Private medical care

  • A comprehensive benefits package after transitioning to our partner, including employee benefits, training opportunities, and occasional bonuses

Original job Staff AI Engineer (LLM) posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.
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