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5 авг
platform engineer
ориентир по рынку
вакансия
зп не указана
в среднем
327 250 ₽
мэтч
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описание
EPAM develops enterprise software products, open source solutions, and accelerators. Its Enterprise Agent Development Platform enables engineering teams to define, orchestrate, deploy, and observe AI agents at scale.
задачи
- Develop and launch scalable conversational AI systems across chat, voice, email, and APIs;
- Architect microservices and asynchronous systems for AI applications with high availability and performance;
- Use Python to implement orchestration and decision logic for tools, workflows, and system interactions;
- Design agentic evaluation frameworks for multi-step workflows, tool-calling accuracy, and session performance;
- Integrate automated evaluation gates into CI/CD pipelines;
- Establish automated evaluation protocols using LLM-as-a-judge patterns;
- Optimize AI models through fine-tuning and LoRA integration;
- Make data-driven decisions between fine-tuning and RAG approaches;
- Work with data specialists to design pipelines for collecting, cleaning, and structuring information for AI agents;
- Design CI/CD pipelines, container standards, and cloud strategies for infrastructure migrations, cost optimization, and high availability.
требования
- Strong Python skills for integrating AI models, automation, and orchestration logic;
- 1–2 Years of hands-on experience with Generative AI and large language models;
- Practical machine learning engineering experience, including data preparation, cloud vector databases, and model training or optimization;
- Hands-on experience designing evaluation frameworks for complex multi-agent systems, including reasoning traces, tool selection, and agentic workflows;
- Proven experience building automated testing and evaluation gates within CI/CD pipelines for AI models;
- Strong backend and frontend architecture experience;
- Experience with AWS, GCP, or Azure, including container orchestration and CI/CD pipelines;
- Experience with agentic frameworks such as LangChain and LangGraph and with multi-agent system design;
- Nice to have: TensorFlow, PyTorch, Scikit-learn.
условия
- No conditions specified
навыки
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