Principal Fullstack AI/ML Consultant

Aimlroles; Kraków; Hybrid; PLN 276.000 - 358.000; Vollzeit

Zusammenfassung

Aimlroles in Kraków is seeking an experienced AI/ML engineer to drive end-to-end delivery of AI products, from architecture to deployment and production support. You will build scalable, secure AI applications, including conversational assistants and agent-based systems, on cloud-native platforms.

You will collaborate with stakeholders to translate requirements into robust AI solutions, develop AI assistants and implement MLOps, monitoring and governance.

Qualifikationen

• 7+ years of software engineering with 3+ years AI/ML delivery.
• End-to-end AI systems from concept to production.
• Hands-on with conversational AI, chatbots or agents.
• Expert Python and software engineering practices.
• Knowledge of design patterns, testing and microservices.
• Docker, Kubernetes and deployment automation experience.
• Cloud platforms: Azure, AWS or GCP.
• LLMs such as GPT, Claude, Gemini, or similar.
• Prompt engineering, function calling and workflow orchestration.
• LangGraph/LangChain or Google ADK familiarity.
• ML/DL frameworks: PyTorch, TensorFlow, Scikit-learn.
• ML platform tools: MLflow, Kubeflow or cloud-native MLOps.

Aufgaben

• Collaborate with stakeholders to translate requirements into AI solutions.
• Design, build and deliver production-grade AI and ML systems.
• Develop AI assistants, chatbots and agent-based workflows.
• Design scalable cloud, data and AI architectures.
• Develop frontend and backend services, APIs and integrations.
• Implement MLOps, monitoring, evaluation and governance.
• Build deployment pipelines and automation frameworks.
• Provide post-production support and optimization.
• Ensure security, reliability, performance and compliance.

Kenntnisse

Python

AI/ML design

End-to-end AI

MLOps

LLMs

Prompt engineering

Agent-based systems

Docker

Kubernetes

Cloud platforms

PyTorch

TensorFlow

Tools

Docker

Kubernetes

LangGraph

LangChain

Google ADK

PyTorch

TensorFlow

MLflow

Jobbeschreibung

Type of contract: B2B contract

Salary range: 200-260 PLN/H

What will you do?

Join a team delivering enterprise-grade AI and machine learning solutions for global organizations. You will be responsible for the end-to-end delivery of AI products, from architecture and development through deployment and production support. Working closely with business stakeholders, you will build scalable, secure, and compliant AI applications, conversational assistants, agent-based systems, and cloud-native platforms that create measurable business value.

Your tasks

• Collaborate with business stakeholders and translate requirements into scalable AI solutions
• Design, build and deliver production-grade AI and machine learning systems
• Develop AI assistants, chatbots, agentic workflows and RAG-based applications
• Design scalable cloud, data and AI architectures
• Develop frontend and backend services, APIs and enterprise integrations
• Implement MLOps and LLMOps processes including monitoring, evaluation and governance
• Build and maintain AI deployment pipelines and automation frameworks
• Provide post-production support and continuous optimization of live solutions
• Ensure security, reliability, performance and compliance across AI platforms

Requirements

• 7+ years of software engineering experience with 3+ years delivering production-grade AI or machine learning solutions
• Experience delivering end-to-end AI systems from concept through production deployment
• Hands-on experience building conversational AI, chatbots, assistants or agent-based solutions
• Expert-level Python development skills and software engineering best practices
• Knowledge of software design patterns, automated testing and microservices architectures
• Hands-on experience with Docker, Kubernetes and deployment automation
• Experience with cloud platforms such as Microsoft Azure, AWS or GCP
• Practical knowledge of enterprise LLMs including GPT, Claude, Gemini, Llama or Mistral
• Hands-on experience with prompt engineering, function calling, structured outputs and workflow orchestration
• Experience building agent-based systems, tool integrations and human-in-the-loop workflows
• Knowledge of LangGraph, LangChain or Google ADK
• Experience with traditional machine learning techniques and model evaluation
• Hands-on experience with PyTorch, TensorFlow or Scikit-learn
• Experience with MLflow, Kubeflow or cloud-native MLOps platforms
• Knowledge of monitoring, observability, model governance and performance optimization
• Openness to work hybrid from our client's office (Kraków) 8 days a month

Nice to have

• Experience with LlamaIndex, Semantic Kernel, AutoGen or CrewAI
• Experience with large-scale enterprise AI transformation programs
• Knowledge of model explainability and responsible AI practices
• Experience with cost optimization and AI platform governance
• Exposure to multi-agent architectures and autonomous task execution