About this role

AI Development: Design, fine-tune, and deploy AI models and intelligent agent-based products.
Systems Integration: Create and integrate AI-powered workflows that deliver measurable results for clients.
Evaluation & Testing: Establish benchmarking and testing frameworks, ensuring continuous model improvement.
Leadership: Define the engineering vision and roadmap, aligning technical direction with business goals.
Team Mentorship: Lead and mentor engineers, fostering a culture of innovation and accountability.
Collaboration: Work closely with product, data, and leadership teams to align engineering outcomes with strategy.
Innovation: Stay at the forefront of AI/ML and NLP research, integrating emerging technologies when appropriate.
Compliance: Ensure privacy, responsible AI use, and enterprise security standards are met.

Proven experience designing, training, and deploying AI/ML models (end-to-end lifecycle).
Strong expertise in NLP, conversational AI, and agent-based architectures.
Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch).
Familiarity with cloud deployment and scalable systems.
Leadership experience, with the ability to mentor and manage a team.
Excellent English communication skills (C1 level or higher; accent is not an issue).

Lead AI Engineer

Key skills