Lead AI Engineer (Hybrid)

Required

• Proven ability to design and integrate end-to-end AI systems, ensuring scalability, maintainability and performance.
• Deep experience with GenAI and agentic frameworks, guiding teams in their effective use.
• Expertise in building and scaling RAG pipelines and integrating vector databases into production systems.
• Experience deploying AI solutions on major cloud platforms, using containers and CI/CD pipelines for reproducibility.
• Skilled in LLMOps practices and monitoring production systems with observability tools.
• Experience with fine-tuning, model adaptation and advanced use of ML/NLP frameworks.
• Ability to articulate complex technical concepts to non-technical audiences and influence senior decision-makers.
• Proven ability to inspire, mentor and develop high-performing engineering teams, fostering a collaborative and inclusive environment.
• Demonstrates the ability to anticipate technological trends and proactively shape the technical direction of the team.
• Skilled in navigating complex internal and external dynamics, driving consensus and achieving technical and business goals.