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AI Engineer – GenAI & Cloud (f/m/x)

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SeniorZdalnie·ŁódźFull-time·B2B·Umowa o pracę

#452332·Dodano 29 dni temu·1

Źródło: justjoin.it

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Tech Stack / Keywords

GenAI Microsoft Azure AWSAI/MLCloud ComputingGCPLangChain/LangGraphPython

Podsumowanie oferty

The AI Engineer will build and deploy knowledge-grounded AI systems and develop agentic applications using frameworks like LangGraph and LangChain. Responsibilities include managing ML pipelines, deploying model serving infrastructure, and integrating AI solutions on major cloud platforms. The role focuses on writing production-grade Python code and collaborating with AI architects and data engineers to ensure data quality and system reliability.

Wymagania

At least 4 years in software or ML engineering with hands-on experience shipping AI/ML systems to production
Strong Python skills for maintainable, tested production code
Practical experience with AI/ML frameworks such as LangChain, LangGraph, or Semantic Kernel
Working knowledge of at least one major cloud platform (Azure, AWS, or GCP) and its AI/ML services
Experience with vector databases, embedding models, and retrieval systems
Familiarity with MLOps fundamentals including model versioning, experiment tracking, CI/CD for ML, and monitoring
Ability to work autonomously and collaborate effectively with architects, data engineers, and product teams
Fluent in English (written and spoken)
Fluent in Polish
Residing in Poland required

Nice to have:

Experience fine-tuning LLMs (LoRA, QLoRA) or working with model training pipelines
Background in classical ML such as scikit-learn, XGBoost, time series forecasting, or recommendation systems
Experience with containerized deployments (Docker, Kubernetes) and infrastructure-as-code
Contributions to open-source AI/ML projects or published technical writing

Obowiązki

Build and deploy knowledge-grounded AI systems end-to-end: data ingestion, chunking, embedding pipelines, retrieval logic, re-ranking, and response generation
Develop agentic applications using frameworks like LangGraph, LangChain, and Semantic Kernel
Implement and maintain ML pipelines for prediction, classification, recommendation, and optimization models
Deploy and optimize model serving infrastructure including API endpoints, batching, caching, GPU utilization, and cost management
Write clean, tested, production-grade Python code
Build evaluation and monitoring pipelines for quality checks, drift detection, latency tracking, and human-in-the-loop feedback
Work with cloud-native AI services on at least one major platform (Azure, AWS, or GCP)
Collaborate with AI Architects on technical design and with data engineers on data availability and quality

Benefity

AI Grant: dedicated budget and two paid weeks to focus on AI projects
AI Center of Excellence: opportunity to work and learn alongside AI specialists
Access to AI-powered development tools including Claude, Cursor, and GitHub Copilot
Variety of real projects including generative AI, agentic systems, computer vision, and autonomous driving
Conference attendance and speaking support including preparation time and bonuses

Budżet konferencyjny

Dofinansowanie szkoleń

Premie

Inne informacje

Residing in Poland is required for this position.

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