Lead Fullstack AI/ML Consultant (Kraków, PL, 30-302)

GFT Technologies SE; Polska; Hybrid; PLN 169,000 - 282,000; Full time

Job summary

GFT Technologies SE is hiring to deliver enterprise-grade AI/ML solutions. You will own end-to-end delivery from architecture to deployment, building AI assistants, chatbots and agent-based workflows while ensuring security and compliance.

Role requires hands-on Python, MLOps and deployment automation, with cloud experience (Azure/AWS/GCP) and familiarity with LangChain/LangGraph. Hybrid work from Kraków 8 days/month is supported.

Qualifications

• 7+ years of software engineering experience with 3+ years delivering AI/ML in production.
• Experience delivering end-to-end AI systems from concept to deployment.
• Hands-on work building conversational AI, chatbots or agent-based solutions.
• Expert Python development and solid engineering practices.
• Know-how of design patterns, testing and microservices.
• Proficient with Docker/Kubernetes and deployment automation.
• Cloud experience (Azure/AWS/GCP) and enterprise LLMs (GPT/Claude/Gemini).
• Experience with prompt engineering, function calls and workflows.
• Knowledge of LangChain, LangGraph; multi-agent architectures.
• Familiar with ML frameworks and ML/Ops platforms and observability.
• Open to hybrid work at Kraków office (8 days/month).

Responsibilities

• Lead end-to-end AI/ML delivery for enterprise projects.
• Architect and deploy scalable AI solutions with secure governance.
• Develop AI assistants, chatbots and agent-based workflows.
• Design cloud/data architectures and enterprise integrations.
• Implement MLOps and LLMOps with monitoring and evaluation.
• Build deployment pipelines and automation frameworks.
• Provide production support and optimize live systems.
• Ensure performance, reliability and compliance across platforms.

Skills

Python development

End-to-end AI

MLOps

Prompt engineering

Agent-based systems

Software engineering

Security & compliance

Tools

Docker

Kubernetes

Azure

AWS

GCP

LangChain

LangGraph

PyTorch

TensorFlow

Scikit-learn

MLflow

Kubeflow

Job description

Type of contract: B2B contract

Salary range: 155-205 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