AI / ML / LLM Engineer
⚲ Warszawa
130–180 zł netto (+ VAT) / godz.
Wymagania
- NumPy
- Pandas
- PyTorch
- TensorFlow
- PuLP
- Pyomo
- Prophet
- LightGBM
- Transformers
- LangChain
- LlamaIndex
- Pinecone
- Weaviate
- FAISS
- AWS
- Azure
- Google Cloud Platform
Opis stanowiska
Nasze wymagania:
minimum 4 years of experience in AI / ML engineering
strong Python skills and experience with data/ML libraries (e.g. NumPy, Pandas)
experience in building and evaluating machine learning models
experience with LLMs and GenAI use cases (e.g. prompt engineering, RAG, LLM pipelines)
experience or strong interest in agentic AI systems (multi-step workflows, tool usage, autonomous agents)
experience with ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn)
understanding of data processing, feature engineering, and model evaluation
experience with experimentation tools (e.g. MLflow, Weights & Biases)
ability to work across research and production environments
high level of independence, curiosity, and problem-solving mindset
good communication skills and team orientation
English at B2 level
Mile widziane:
experience with reinforcement learning (e.g. PPO, SAC, TD3)
experience with optimization tools (e.g. PuLP, Pyomo)
experience with advanced forecasting methods (e.g. Prophet, LightGBM, Transformers)
familiarity with LLM orchestration frameworks (e.g. LangChain, LlamaIndex)
experience with vector databases (e.g. Pinecone, Weaviate, FAISS)
experience with cloud platforms (e.g. AWS, Azure, GCP)
experience with MLOps practices and CI/CD for ML
experience with distributed systems or data pipelines
O projekcie:
We are building a talent pool of experienced AI / ML / LLM Engineers who would like to collaborate with Kyotu Technology on upcoming projects.
Our work focuses on applied AI, combining machine learning, optimization, and modern LLM-based systems. We work on a variety of use cases across domains such as automation, data processing, intelligent systems, and AI-driven product development.
Zakres obowiązków:
We are especially interested in engineers with experience or strong interest in agentic AI systems, who enjoy working at the intersection of classical ML and modern generative AI.
You will have the opportunity to contribute to projects involving forecasting, optimization, reinforcement learning, and LLM-powered workflows, including autonomous or semi-autonomous agents.
Oferujemy:
contract: B2B, long-term cooperation
work model: 100% remote or hybrid
team: experienced, cross-functional AI and engineering teams
projects: AI-driven products, LLM systems, automation, and advanced data solutions
minimum 4 years of experience in AI / ML engineering
strong Python skills and experience with data/ML libraries (e.g. NumPy, Pandas)
experience in building and evaluating machine learning models
experience with LLMs and GenAI use cases (e.g. prompt engineering, RAG, LLM pipelines)
experience or strong interest in agentic AI systems (multi-step workflows, tool usage, autonomous agents)
experience with ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn)
understanding of data processing, feature engineering, and model evaluation
experience with experimentation tools (e.g. MLflow, Weights & Biases)
ability to work across research and production environments
high level of independence, curiosity, and problem-solving mindset
good communication skills and team orientation
English at B2 level
Mile widziane:
experience with reinforcement learning (e.g. PPO, SAC, TD3)
experience with optimization tools (e.g. PuLP, Pyomo)
experience with advanced forecasting methods (e.g. Prophet, LightGBM, Transformers)
familiarity with LLM orchestration frameworks (e.g. LangChain, LlamaIndex)
experience with vector databases (e.g. Pinecone, Weaviate, FAISS)
experience with cloud platforms (e.g. AWS, Azure, GCP)
experience with MLOps practices and CI/CD for ML
experience with distributed systems or data pipelines
O projekcie:
We are building a talent pool of experienced AI / ML / LLM Engineers who would like to collaborate with Kyotu Technology on upcoming projects.
Our work focuses on applied AI, combining machine learning, optimization, and modern LLM-based systems. We work on a variety of use cases across domains such as automation, data processing, intelligent systems, and AI-driven product development.
Zakres obowiązków:
We are especially interested in engineers with experience or strong interest in agentic AI systems, who enjoy working at the intersection of classical ML and modern generative AI.
You will have the opportunity to contribute to projects involving forecasting, optimization, reinforcement learning, and LLM-powered workflows, including autonomous or semi-autonomous agents.
Oferujemy:
contract: B2B, long-term cooperation
work model: 100% remote or hybrid
team: experienced, cross-functional AI and engineering teams
projects: AI-driven products, LLM systems, automation, and advanced data solutions
🔍 Dekoder Ogłoszenia
🔴
ability to work across research and production environments
Może oznaczać konieczność samodzielnego przenoszenia modeli z fazy prototypowej do produkcyjnej, często bez dedykowanego zespołu MLOps.
🔴
high level of independence, curiosity, and problem-solving mindset
Oczekuje się, że będziesz samodzielnie rozwiązywać problemy, często bez szczegółowych wytycznych czy wsparcia.
🔴
We are building a talent pool of experienced AI / ML / LLM Engineers who would like to collaborate with Kyotu Technology on upcoming projects.
Nie jest to konkretna oferta pracy na obecny projekt, a raczej tworzenie bazy kandydatów na przyszłe, nieokreślone jeszcze projekty.
🟡
experience with LLMs and GenAI use cases (e.g. prompt engineering, RAG, LLM pipelines)
Podane przykłady mogą być bardzo podstawowe, a rzeczywiste wymagania mogą wykraczać poza nie.
🟡
experience or strong interest in agentic AI systems (multi-step workflows, tool usage, autonomous agents)
Silny nacisk na zainteresowanie może sugerować, że faktyczne doświadczenie w tej dziedzinie nie jest jeszcze wymagane, ale będziesz musiał się tego szybko nauczyć.