Lead Fullstack AI/ML Engineer

About the Position

Join our team as a Lead Fullstack AI/ML Engineer to deliver 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.

Responsibilities

• 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

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

We Offer

• Hybrid work in our client's office (Kraków) 8 days a month
• Working in a highly experienced and dedicated team
• Benefit package tailored to your needs (medical, sport, lunch subsidy, life insurance, etc.)
• Online training and certifications
• Access to e-learning platform
• Social events

About the Company

We are GFT Poland. WE KNOW how to tackle complex issues with an innovative approach to deliver the highest value. Our reputation has been built around one simple rule: we do not overpromise, WE DELIVER. We deliver to our employees, clients and partners. WE GROW as you grow, so investing in you is our business strategy. Caring for each other is our priority. WE CARE who you are, what you need, how you feel. WE CARE to smile, have fun and develop as human beings.

Why Choose GFT?

• A culture of top performance
• Deep tech IT engineering & consulting
• 1200 skilled & top-class experts
• 77% of the team are regular/senior
• Products that contribute to a sustainable world
• Competitive salary and benefits
• Ambitious projects, trainings and tools you need to flourish
• Google Cloud Partner of the Year - for going above and beyond for customers

Location

• City: Kraków
• Country: PL
• Remote: No

Salary

• Range: 17400 - 26700 PLN gross

Employment Type

• Type: Full-time

Experience Level

• Level: Senior