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Lead Python Engineer

Remote in Ukraine
Python.Core& 8 others
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We are looking for a Lead Python Engineer to lead a supplier team within the customer's AI Acceleration group, focused on building and enhancing AI agents and agentic capabilities to support BI's transition to AI Native teams.

Responsibilities
  • Analyze, leverage and improve existing AI agents, tools and frameworks, ensuring alignment with BI and Enterprise needs
  • Drive the enhancement of the SAGE (Smart Augmented Quality Engineering) platform, including tuning test-generation and self-healing agents, and development of new agents (e.g., Contract testing agents)
  • Automate high-impact engineering workflows by integrating existing or newly developed AI agents (such as Agile and QE agents)
  • Collaborate with cross-functional teams (BI, Enterprise, QE, Agile) to identify automation opportunities and deliver scalable AI solutions
  • Mentor and guide team members, fostering a culture of innovation, continuous learning and high performance
  • Ensure best practices in AI engineering, quality assurance and agile methodologies are followed throughout the project lifecycle
  • Communicate progress, challenges and solutions to stakeholders, providing technical leadership and strategic direction
  • Own the architecture and technical direction of AI/agentic systems, ensuring scalability, reliability and maintainability
  • Define and enforce best practices for agent design, orchestration and evaluation
Requirements
  • 5+ years of experience in software engineering
  • Proven experience leading teams in AI/ML engineering projects, preferably in agentic systems or automation platforms
  • Hands-on expertise in AI agent development, tuning and integration (Python, ML frameworks, agentic architectures)
  • Deep understanding of quality engineering, test automation and self-healing systems
  • Background in Agile methodologies and transitioning teams to AI Native practices
  • Excellent communication, stakeholder management and mentoring skills
  • Capability to analyze complex workflows and identify automation opportunities
  • English proficiency at B2 level or higher