4 дня назад
AI Tech Lead
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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TL;DR
AI Tech Lead (Generative AI/LLMs): Leading the technical direction and end-to-end delivery of an AI Hub’s portfolio of solutions with an accent on scalable architecture, production readiness, and business value. Focus on guiding AI Engineers, evaluating emerging technologies through PoCs, and solving complex challenges across AI solution design, development, testing, deployment, and operations.
Location: Fully remote
Company
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What you will do
- Own the technical direction and execution of the AI Hub in partnership with the Business Lead.
- Lead technical oversight of AI solutions from initial idea and solution design through PoC, development, testing, production deployment, and continuous improvement.
- Guide AI Engineers and projects through architecture decisions, technical risks, dependencies, constraints, and mitigation strategies.
- Ensure scalable, maintainable, secure, reliable, and operationally ready solutions.
- Promote software engineering practices including code quality, testing, CI/CD, monitoring, and operational excellence.
- Evaluate emerging AI technologies and initiate PoCs while balancing technical complexity, implementation effort, operational cost, and business value.
Requirements
- Bachelor’s or master’s degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related field, or equivalent professional experience.
- Strong professional experience in software engineering, AI engineering, machine learning, or AI solution development.
- Proven ability to technically lead complex AI or software solutions from design through production.
- Strong understanding of modern AI technologies and development approaches, including Generative AI, LLMs, RAG, AI agents, machine learning, and related frameworks.
- Strong software engineering background and proficiency with modern development practices.
- Experience designing and implementing scalable, production-ready solutions.
- Experience with cloud platforms and cloud-based AI services, preferably Microsoft Azure, AWS, or Google Cloud.
- Good understanding of APIs, system integration, CI/CD, automated testing, monitoring, and DevOps/MLOps practices.
- Ability to translate business problems and requirements into technical solutions, evaluate new technologies and their business value, and demonstrate strong problem-solving and analytical capabilities.
Culture & Benefits
- Fully remote work.
- Technical co-ownership combining AI expertise, innovation, business understanding, and stakeholder engagement.
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