AI Engineer (LLM) Mid Senior Staff
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Job Location:
Monthly Salary:
Posted on:
14 hours ago
Vacancies:
1 Vacancy
Job Summary
Job description
Location: Poland
Contract: B2B or contract of employment
Were building an intelligent AI shopping assistant in partnership with one of the fastest-growing companies in Poland (InPost) - a system that truly understands natural language and conversational context. Were early in the journey which means real influence on architecture models and the final shape of the product.
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 InPosts 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 youll 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 youll 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 youll 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
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
Job requirements
Core requirements (all levels):
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
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
Seniority levels:
Mid AI Engineer:
At least 1 year of experience working with NLP / LLM systems in production
Experience contributing to production ML or AI services
Eagerness to learn and grow in a fast-moving environment
Senior AI Engineer:
At least 4 years of experience in ML / AI engineering
Proven experience owning production NLP or LLM systems
Strong understanding of scalability performance and system design
Staff AI Engineer:
At least 6 years of experience in ML / AI engineering
Experience designing large-scale production LLM architectures
Ability to drive technical direction and mentor other engineers
All done!
Your application has been successfully submitted!
Required Experience:
Senior IC
Key Skills
- Computer Science
- Docker
- Kubernetes
- Python
- VMware
- C/C++
- Go
- System Architecture
- gRPC
- OS Kernels
- Perl
- Distributed Systems
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