Lead AI Engineer

• Over 5 years of professional experience developing and scaling production-grade AI/ML systems.
• At least 2 years of proven team lead experience within Agile engineering environments.
• Advanced proficiency in Python and its ecosystem across AI/ML, web services, and data engineering.
• Expertise in open/closed-source LLMs, advanced prompt engineering, RAG, Agentic AI, vector/hybrid search, document processing, guardrails, evaluation, and monitoring.
• Solid experience with at least one major cloud platform (GCP, AWS, or Azure) and associated ML managed services such as Vertex AI or SageMaker.
• Outstanding verbal and written English communication skills, with experience leading client and stakeholder discussions.

Nice to have:

• Practical experience extending beyond AI/ML into frontend, backend, data engineering, cloud infrastructure, and CI/CD automation.
• Hands-on experience with PyTorch, Hugging Face, NLP, or Computer Vision.

• Lead software development projects end-to-end, defining AI system architecture while working hands-on alongside the team.
• Set technical direction, establish engineering best practices, and mentor engineers across the team.
• Collaborate closely with business and product stakeholders to align technical strategy with strategic goals.
• Deliver enterprise AI/ML solutions from proof-of-concept to production, ensuring continuous improvements and system reliability.
• Integrate emerging AI technologies like Agentic AI, custom guardrails, and fine-tuning with operational pragmatism.

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