Applied AI Engineer
⚲ Kraków, Wrocław, Warszawa, Gdańsk, Bukareszt
30 000 - 39 000 PLN netto (B2B)
Wymagania
- Python
- Langchain
- OpenAI
- RAG
- AI
- Agentic AI
- TypeScript
Opis stanowiska
We are looking for an Applied AI Engineer to build production-grade LLM and VLM-powered features, owning the AI logic and backend systems from concept to production.
✅ Your responsibilities:
• Design, develop, and deploy AI-powered product features using LLMs and multimodal models
• Build and maintain backend services supporting AI applications and workflows
• Develop evaluation frameworks, golden datasets, and automated quality measurement pipelines
• Design and implement multi-step agent workflows with tool usage, memory, error recovery, and human-in-the-loop processes
• Build scalable APIs and backend components supporting AI services
• Improve model reliability, performance, and response quality in production environments
• Implement engineering best practices including testing, monitoring, rate limiting, retry mechanisms, and fault tolerance
• Collaborate with cross-functional teams to deliver end-to-end AI solutions
🧠 Our requirements:
• Commercial experience building and shipping production LLM applications
• Experience designing and implementing AI evaluation frameworks
• Practical experience with LLM-as-a-Judge, golden datasets, or regression testing approaches
• Experience building agentic AI workflows and tool-using agents
• Strong software engineering fundamentals and backend development experience
• Experience with Python and/or TypeScript
• Experience designing APIs and scalable backend services
• Knowledge of prompt engineering and prompt lifecycle management
• Understanding of defensive engineering patterns such as rate limiting, idempotency, and backoff strategies
⭐ Nice to have:
• Experience with LangChain or similar orchestration frameworks
• Experience with Retrieval-Augmented Generation (RAG)
• Experience with vector databases and semantic search
• Experience with Vision-Language Models (VLMs)
• Experience building multimodal AI systems
• Experience creating automated evaluation dashboards and monitoring solutions
🌟 What we offer:
• 100% remote work.
• Opportunity to work on production AI systems used by real users
• Private healthcare
• Multisport
• Life insurance
•
High ownership and end-to-end responsibility for delivered solutions
• Exposure to modern LLM, multimodal, and agent-based architectures
• Ability to influence product direction and technical decisions
• Collaboration with experienced engineers building AI-driven products
✅ Your responsibilities:
• Design, develop, and deploy AI-powered product features using LLMs and multimodal models
• Build and maintain backend services supporting AI applications and workflows
• Develop evaluation frameworks, golden datasets, and automated quality measurement pipelines
• Design and implement multi-step agent workflows with tool usage, memory, error recovery, and human-in-the-loop processes
• Build scalable APIs and backend components supporting AI services
• Improve model reliability, performance, and response quality in production environments
• Implement engineering best practices including testing, monitoring, rate limiting, retry mechanisms, and fault tolerance
• Collaborate with cross-functional teams to deliver end-to-end AI solutions
🧠 Our requirements:
• Commercial experience building and shipping production LLM applications
• Experience designing and implementing AI evaluation frameworks
• Practical experience with LLM-as-a-Judge, golden datasets, or regression testing approaches
• Experience building agentic AI workflows and tool-using agents
• Strong software engineering fundamentals and backend development experience
• Experience with Python and/or TypeScript
• Experience designing APIs and scalable backend services
• Knowledge of prompt engineering and prompt lifecycle management
• Understanding of defensive engineering patterns such as rate limiting, idempotency, and backoff strategies
⭐ Nice to have:
• Experience with LangChain or similar orchestration frameworks
• Experience with Retrieval-Augmented Generation (RAG)
• Experience with vector databases and semantic search
• Experience with Vision-Language Models (VLMs)
• Experience building multimodal AI systems
• Experience creating automated evaluation dashboards and monitoring solutions
🌟 What we offer:
• 100% remote work.
• Opportunity to work on production AI systems used by real users
• Private healthcare
• Multisport
• Life insurance
•
High ownership and end-to-end responsibility for delivered solutions
• Exposure to modern LLM, multimodal, and agent-based architectures
• Ability to influence product direction and technical decisions
• Collaboration with experienced engineers building AI-driven products
🔍 Dekoder Ogłoszenia
🔴
owning the AI logic and backend systems from concept to production
Oczekuje się, że będziesz odpowiedzialny za cały cykl życia logiki AI i systemów backendowych, od pomysłu po wdrożenie.
🔴
Develop evaluation frameworks, golden datasets, and automated quality measurement pipelines
Może to oznaczać, że będziesz musiał stworzyć od podstaw systemy oceny jakości, które obecnie nie istnieją lub są w bardzo wczesnej fazie rozwoju.
🔴
Design and implement multi-step agent workflows with tool usage, memory, error recovery, and human-in-the-loop processes
Może to wymagać budowania złożonych systemów agentów od podstaw, co może być czasochłonne i wymagać głębokiego zrozumienia architektury.
🔴
Improve model reliability, performance, and response quality in production environments
Sugestia, że obecne modele mogą mieć problemy z niezawodnością, wydajnością lub jakością odpowiedzi w środowisku produkcyjnym.
🟡
Commercial experience building and shipping production LLM applications
Poszukiwane jest doświadczenie w tworzeniu i wdrażaniu aplikacji LLM, które są już używane przez klientów i generują przychody.