Circle K

Senior AI/ML Engineer

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SeniorOn-site·WarszawaFull-time

#444909·Dodano miesiąc temu·3

Źródło: Circle K

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Tech Stack / Keywords

agentic AILLM Python PyTorch TensorFlow scikit-learnAzure AI FoundryGoogle Vertex AIAnthropic ClaudeLangGraph

Firma i stanowisko

Circle K is hiring for an AI/ML engineering role focused on building agentic AI systems and classic machine learning solutions. The company has an internal whistleblower notification procedure and promotes a diverse and inclusive culture. The job is based in Warszawa, Poland.

Wymagania

Bachelor's or master's degree in Computer Science, Machine Learning, or related field (or equivalent)
5+ years experience building and deploying ML models in production
Strong programming skills in Python
Familiarity with ML frameworks: PyTorch, TensorFlow, scikit-learn
Experience building and deploying agents on major AI platforms (Azure AI Foundry, Google Vertex AI / Gemini, Anthropic Claude)
Experience with LLM APIs and prompt engineering (OpenAI, Anthropic, Google)
Familiarity with vector databases and RAG architectures (Pinecone, Weaviate, Chroma)
Experience with computer vision or image recognition models in production
Solid software engineering fundamentals: version control, testing, API design
Experience with cloud platforms (AWS, GCP, or Azure)

Preferred Qualifications:

Experience building agents on Azure AI Foundry Agent Service and/or Google Vertex AI Agent Builder
Familiarity with cross-platform agent portability and multi-agent orchestration frameworks (LangGraph, AutoGen, CrewAI)
Experience designing agentic systems combining perception and reasoning layers
Background in reinforcement learning or fine-tuning LLMs (LoRA, RLHF)
Experience with containerization and orchestration (Docker, Kubernetes)
Contributions to open-source ML/AI projects
Familiarity with evaluation frameworks for LLM/agent outputs
Experience optimizing models for on-device or edge deployment (mobile/tablet)

Obowiązki

Agentic AI & LLM Systems (Core Focus):

Design and build agentic workflows using LLMs for autonomous multi-step tasks
Deploy agentic solutions across AI platforms like Azure AI Foundry, Google Cloud Vertex AI / Gemini, and Anthropic Claude
Develop integrations connecting agents to APIs, databases, and internal systems
Implement orchestration patterns for complex task automation
Build retrieval-augmented generation (RAG) pipelines
Establish monitoring for agent reliability and safety
Prototype agent behaviors using frameworks such as LangGraph, LlamaIndex, CrewAI
Design workflows consuming outputs from perception/detection models (e.g., computer vision)

Model Development & MLOps:

Design, train, fine-tune, and evaluate machine learning and deep learning models including computer vision/object detection
Build and maintain scalable data pipelines
Implement MLOps practices: CI/CD, versioning, monitoring, retraining
Optimize model performance and latency
Design pipelines for discrepancy flagging and downstream automation
Improve model accuracy using feedback and active learning

Applied Engineering:

Collaborate with product and design teams to translate business needs into AI features
Integrate ML models and agents via robust APIs
Write clean, maintainable, documented code
Conduct A/B tests and evaluations

Collaboration & Communication:

Work with AI Platform Architect to align with technical standards and strategy
Partner with business stakeholders to define success metrics
Collaborate with data engineers, product managers, domain experts
Communicate technical trade-offs to technical and non-technical audiences
Stay current with ML, LLM, and agentic architecture research

Benefity

Contract of employment
Annual bonus
Private medical care
Cafeteria Platform/Multisport
Company-subsidized English lessons
Group insurance
Two additional days off (Good Friday, Friday after Corpus Christi) with possibility to exchange for other holidays
Employee Referral Bonus Program
Discounts for products and services at stations
Employee stock purchase plan
Employee Assistance Program (Lyra)
Trainings and development opportunities in an international environment
Modern and convenient office in Warsaw

Premie

Opieka zdrowotna

Karta sportowa

Ubezpieczenie

Płatny urlop

Kursy językowe

Udział w zyskach

Udziały pracownicze

Dofinansowanie szkoleń

Spotkania integracyjne

Inne informacje

The company has an Internal Notification and Follow-up Actions Procedure regarding whistleblower reports. The offer emphasizes a strict non-discrimination policy based on race, national origin, gender, sexual orientation, disability, age, or other legally protected status.

Circle K

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