Visionary AI Strategist

2 weeks ago

Koṭa, India beBeeExpert Full time

Senior AI ExpertWe are seeking an experienced leader to guide our teams and projects in building and implementing advanced systems based on Large Language Models (LLMs), chatbots, and AI agents.Responsibilities:Lead the technical design and development of AI solutions that align with business goals and technical standards.Design and build high-performing, scalable enterprise-grade LLM/AI applications in cloud environments.Mentor the development team, conduct code reviews, and implement engineering best practices.Collaborate closely with AI Engineering and Data Science teams to deliver effective and efficient AI solutions.Make architectural decisions regarding AI solutions and frameworks.Define and implement best practices in GenAI/ML models lifecycle and ML operations/LLM operations.Optimize AI models and systems, analyze performance, and scale solutions in cloud environments.Gather technical requirements and estimate planned work.Ensure code compliance with best practices in AI solutions development.Create technical documentation.Present solutions, concepts, and results to internal and external stakeholders.Requirements:10+ years of experience in AI/software engineering, including a minimum of 4 years in a Tech Lead role.At least 6+ years of experience in production-ready Python AI-related code development.At least 2+ years of experience in production-ready LLM-related code development.Advanced knowledge of AI frameworks and experience leading AI projects from design through to implementation.Strong analytical and problem-solving skills with the ability to optimize AI solutions for diverse applications.Strong knowledge and experience in Generative AI, including LLMs, chatbots, AI agents, and Retrieval-Augmented Generation (RAG) mechanisms.Deep understanding of LLM evaluators, validators, and guardrails.Proficiency in LLMOps concepts such as GenAI operationalization and scaling.Excellent knowledge of Python, SQL, and GenAI frameworks.Experience in building and deploying production-ready systems based on microservices.Solid understanding of ML/AI concepts: types of algorithms, machine learning frameworks, model efficiency metrics, model lifecycle, AI architectures.Proven ability to collaborate effectively across technical and non-technical teams.Familiarity with cloud environments such as Azure, GCP, or AWS, including AI-related managed services.Familiarity with CI/CD, testing, and containerized deployments.A collaborative approach to leadership, with experience mentoring and guiding diverse technical teams.Excellent communication skills in English, with the ability to convey complex technical concepts to various audiences.Benefits:Opportunity to lead cutting-edge AI projects.Chance to mentor and develop technical teams.Collaborative work environment.Competitive compensation and benefits package.

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