Full Stack Lead With AI
Summary
Lead full-stack development and AI model fine-tuning for enterprise solutions, using C#/Java/Python and cloud-native tools like Kubernetes and Azure DevOps.
Location: Katowice / Wrocław - 2 days office / 3 days remote.
Overview
Lead the delivery of solution or infrastructure development services for large or complex projects, ensuring design, development, delivery, and maintenance meet business and technical requirements.
Key Responsibilities
- Resolve complex and escalated aspects of projects, including coding, debugging, testing, and troubleshooting throughout development.
- Provide advanced technical expertise to maximize efficiency, reliability, and value from current solutions and emerging technologies, identifying and implementing continuous improvement plans.
- Build strong working relationships with peers across Development & Engineering and Architecture teams to deliver leading solutions.
- Take a leadership role for the work group, establishing expectations, principles, structures, tools, and responsibilities to deliver the project.
- Ensure consistency with relevant processes, procedures, standards, and technical design; support definition, maintenance, and implementation of technology standards.
Qualifications
- Advanced technical proficiency in designing, developing, and debugging solutions.
- Advanced knowledge of one or more of: C#, Java, or Python.
- Bachelor’s degree in computer science, engineering, IT, mathematics, or related field preferred.
- More than 10 years of applied experience.
- Significant relevant experience in software or platform engineering roles.
- Experience delivering software/platform engineering solutions and providing comprehensive technical advice.
- Experience with CI/CD delivery using code management, configuration management, and automation tools such as GitHub and Azure DevOps.
- Proficiency in fine‑tuning language models for specific tasks (text generation, summarization, question answering).
- Knowledge of embedding models and their application in NLP tasks (similarity matching, clustering, information retrieval).
- Familiarity with designing and implementing agentic systems that combine AI models with external tools or environments for autonomous decision‑making.
- Ability to design robust evaluation frameworks for AI models and agents, including metrics development, A/B testing, and performance benchmarking.
Preferred Experience
- Microsoft/Google/AWS certificates.
- Experience delivering using modern methodologies.
- Significant proven experience building applications using container‑orchestration systems like Kubernetes and container engines like Docker.
Desired Personal Attributes
- A self‑starter, independent thinker who is curious, creative, ambitious, and passionate.
Benefits
- Continuous learning opportunities to develop the mindset and skills required for future challenges.
- Flexible environment allowing you to make a meaningful impact your own way.
- Transformative leadership support, coaching, and confidence to become a leader the world needs.
- Diverse and inclusive culture where your voice is valued and empowered.
In compliance with the requirements of the Whistleblower Protection Act, the company has established the Procedure for reporting breaches of law and undertaking appropriate follow‑up actions. Any misconduct should be reported through the EY Ethics Hotline.