Lead AI Engineer

Grid Dynamics; Kraków; On-site; PLN 250,000 - 380,000; Full time

Benefits offered by this job

Bleeding-edge projects

Competitive salary

Flexible schedule

Medical insurance

Sports benefits

Team events

Professional development

Well-equipped office

Job summary

Grid Dynamics seeks a Lead AI Engineer in Kraków to drive generative AI and agentic AI initiatives, architect scalable AI systems, mentor teams, and partner with stakeholders to deliver production-grade solutions from concept to deployment.

The role blends hands-on technical leadership with strategic vision, requiring 5+ years in production AI, 2+ years leading teams, strong Python, and cloud experience. Excellent English communication is essential.

Qualifications

• 5+ years of production AI/ML experience.
• 2+ years leading teams in Agile environments.
• Advanced Python proficiency across AI/ML, web services, and data engineering.
• Deep LLM & GenAI mastery, including prompts, RAG, guardrails, and evaluation.
• Experience with major cloud platforms (GCP/AWS/Azure) and ML services.

Responsibilities

• Lead end-to-end AI system architecture while staying hands-on with implementation.
• Set technical direction and mentor engineers across the team.
• Collaborate with business and product stakeholders to align tech strategy with goals.
• Deliver enterprise AI/ML solutions from POC to production with reliability and scale.
• Track AI trends and integrate Agentic AI and guardrails pragmatically.

Skills

Python programming

Team leadership

English communication

GenAI mastery

Agile

Cloud ML platforms

Tools

PyTorch

Hugging Face

NLP

Job description

We are seeking a Lead AI Engineer to drive the development and implementation of cutting-edge AI solutions, with a strong focus on Generative AI and Agentic AI. In this role, you will combine hands-on technical leadership with strategic vision-architecting scalable AI systems, mentoring engineering teams, and collaborating closely with stakeholders to deliver innovative solutions from concept to production.

Responsibilities

• Architecture & Technical Leadership: Lead software development projects end-to-end, defining AI system architecture while staying hands-on with implementation alongside the team.
• Engineering Excellence & Mentorship: Set technical direction, establish engineering best practices, and mentor engineers across the team.
• Cross-Functional Collaboration: Partner closely with business and product stakeholders to align technical strategy with strategic goals, acting as a translator between technical and non-technical teams.
• Production Delivery: Deliver enterprise AI/ML solutions from proof-of-concept (POC) to production, ensuring continuous improvements, system reliability, and long-term support.
• Innovation with Pragmatism: Stay ahead of AI industry trends, integrating emerging technologies like Agentic AI, custom guardrails, and fine-tuning while maintaining operational pragmatism.

Requirements

• Production AI Experience: 5+ years of professional experience developing and scaling production-grade AI/ML systems.
• Leadership Background: 2+ years of proven team lead experience working within Agile engineering environments.
• Python Expertise: Advanced proficiency in Python and its ecosystem across AI/ML, web services, and data engineering.
• Deep LLM & GenAI Mastery: Expertise in open/closed-source LLMs, advanced prompt engineering, RAG, Agentic AI, vector/hybrid search, document processing, guardrails, LLM evaluation, and monitoring/observability.
• Cloud & ML Platforms: Solid experience with at least one major cloud platform (GCP, AWS, or Azure) and associated ML managed services (e.g., Vertex AI, SageMaker).
• Communication & Stakeholder Management: Outstanding verbal and written English communication skills, with a track record of leading client and stakeholder discussions.

Nice to have

• Full-Stack & End-to-End Systems: Practical experience extending beyond AI/ML into frontend, backend, data engineering, cloud infrastructure, and CI/CD automation.
• Deep Learning Frameworks: Hands-on experience with PyTorch, Hugging Face, NLP, or Computer Vision.

We offer

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports
• Corporate social events
• Professional development opportunities
• Well-equipped office

About Us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.