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Роль даёт серьёзную ответственность за production-системы на базе Generative AI и понятную лидерскую зону, но работа с клиентами может означать смену проектов и меньший контроль над долгосрочным развитием продукта.
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Текст:
Hirify AI/Оригинал
TL;DR
Lead AI Engineer (Generative AI): Building scalable enterprise AI applications, including multi-agent workflows, custom search engines, and end-to-end LLM systems with an accent on architecture, NLP, RAG, and production AI engineering. Focus on leading technical roadmaps, optimizing performance and security, establishing evaluation frameworks, and mentoring engineering teams.
Location: Remote or hybrid from anywhere in Kazakhstan; Astana
Company
EPAM Kazakhstan delivers enterprise software engineering and Generative AI solutions for clients.
What you will do
Lead the architecture and implementation of scalable enterprise AI applications, including multi-agent workflows, custom search engines, and end-to-end AI systems.
Translate client and business goals into technical roadmaps and recommend feasible, high-impact LLM solutions.
Set standards for code quality, architecture, data pipelines, prompt management, and automated evaluation.
Lead design reviews, development practices, and mentorship for junior and senior developers.
Guide R&D, prototype emerging AI models, and standardize Generative AI tools and frameworks.
Requirements
5+ years of experience in a Lead, Principal, or Senior AI/Software Engineering role, including architecting and shipping complex production-grade AI or ML solutions.
At least 1 year of relevant leadership experience.
Master-level Python proficiency, specifically FastAPI or equivalent web frameworks, with a strong foundation in NLP concepts including semantic similarity, tokenization, NER, and text classification.
Expertise in Generative AI patterns, especially RAG, autonomous multi-agent networks, and tool integration.
Production experience with OpenAI, Anthropic, Bedrock, or Gemini APIs and orchestration tools such as LangGraph or LlamaIndex.
Experience optimizing AI applications for performance, security, prompt-injection mitigation, data privacy, cloud costs, and programmatic or LLM-as-a-judge evaluation.
Ability to build intuitive UI/UX prototypes with Streamlit, Gradio, or equivalent tools.
Strong leadership and communication skills, including presenting architectures to executives and clients and bridging technical and non-technical audiences.
English communication skills at B2 level or higher.
Culture & Benefits
Remote or hybrid work, with the option to work abroad for up to two months per year.
Relocation opportunities within offices in 55+ countries.
Corporate and social events, leadership development, career advising, soft-skills, and well-being programs.
Certifications including GCP, Azure, and AWS, unlimited access to EPAM's internal learning database, and free English classes.
Medical and family care package, six trust days per year, sports and service discounts, and housing support through an Otbasy Bank mortgage partnership.
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