AI solution engineer for analytics

EPAM; United States; Hybrid; USD 100,000 - 170,000; Full time

Benefits offered by this job

Relocation opportunities

Certifications (GCP/Azure/AWS)

Employee Stock Purchase Plan

Housing support program

Medical & family care

Six trust days

English classes

Discounts on language schools

Referral bonuses

Office or home flexibility

Corporate and social events

Learning database access

Job summary

EPAM ищет специалиста по разработке AI-агентов и аналитических решений. Ваша роль включает создание и интеграцию агентов на основе LLM, работу с Python, React/TypeScript, SQL и REST API, а также развитие Power BI-отчетов и ETL/ELT-процессов.

Вы будете сотрудничать с межфункциональными командами, внедрять решения в облаке и гибридной среде, участвовать в CI/CD и обеспечивать высокую доступность и контроль качества продуктов.

Qualifications

• 2–4 года опыта в аналогичных ролях (AI/ML/Data Engineer) с практикой вывода AI-решений на прод
• Уверенное владение Python, React и JavaScript/TypeScript
• Навыки написания эффективного SQL для реляционных и аналитических БД
• Опыт создания и потребления REST API, работа с Git и современные практики разработки
• Понимание концепций архитектуры данных: хранилища, data lake и ETL/ELT
• Опыт работы с Power BI, включая моделирование данных и создание отчетов
• Будет плюсом: опыт работы с LLM и фреймворками агентов; опыт с векторными БД

Responsibilities

• Разработка агентов на современных LLM框фреймворках для аналитических помощников, автоматизации и поддержки принятия решений
• Интеграция агентов с внутренними источниками данных, API и корпоративными приложениями
• Участие в разработке платформы для развертывания, мониторинга и управления агентами
• Создание end-to-end Data-приложений и интерфейсов на Python и React/JS, включая API, дашборды и интерактивные панели
• Разработка продвинутых аналитических моделей и Power BI-отчетов, стандартизируемых для повторного использования
• Проектирование и поддержка ETL/ELT-пайплайнов для подготовки данных под AI-нагрузки
• Развертывание и эксплуатация AI-решений в облачной и гибридной инфраструктуре
• Поддержка CI/CD для агентов AI и дата-приложений
• Коммуникация с заказчиками и бизнес-коллегами для сбора требований и поддержки внедрения

Skills

Python

React

JavaScript/TypeScript

SQL

REST APIs

Git

Power BI

Data modeling

LLM frameworks

Vector databases

Tools

LangChain

LangGraph

LlamaIndex

Semantic Kernel

AutoGen

Job description

Задачи

Develop AI Agents on modern LLM frameworks for analytics assistants, automation and decision support, including engineering prompts, tools, memory and orchestration logic for reliable agent behavior Integrate AI Agents with internal data sources, APIs and enterprise applications Contribute to the internal platform that hosts, deploys and monitors AI Agents, and build reusable components for orchestration, evaluation, observability and governance Design and develop end-to-end data applications, tools and interfaces in Python and React / JavaScript, including APIs, dashboards and interactive interfaces that bring advanced analytics to business users Develop advanced analytical models and Power BI deliverables, and define standards and templates that improve consistency and reuse Design and maintain ETL/ELT pipelines that prepare, transform and deliver high-quality data for AI and analytics workloads Deploy and operate AI solutions on cloud and hybrid infrastructure, making effective use of managed AI, compute and storage services Support CI/CD pipelines for AI agents and data applications Communicate with internal customers and business teams to gather requirements and feedback and to support adoption of AI solutions

Требования

2-4 years of experience in similar roles (AI Engineer, ML Engineer, Data Engineer), including hands-on experience delivering AI or data solutions to production Proficiency in Python, React and JavaScript / TypeScript Skills in writing performant SQL on relational and analytical databases Experience building and consuming REST APIs, working with Git and following modern software engineering practices Understanding of data architecture concepts, including data warehousing, data lakes and ETL/ELT Experience with Power BI, including data modeling and report development Будет плюсом: Experience with LLM and agent frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel or AutoGen; Experience with vector databases

Условия

• Delivering innovative solutions to industry leaders, making a global impact
• Enjoyable working environment, whether it is the vibrant office or the comfort of your own home
• Opportunity to work abroad for up to two months per year
• Relocation opportunities within our 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
• Free English classes with certified teachers
• Discounts in local language schools, including online courses for the Kazakh language
• Participation in the Employee Stock Purchase Plan
• Monetary bonuses for engaging in the referral program
• Medical & family care package
• Six trust days per year (sick leave without a medical certificate)
• Coverage of psychology sessions of your choice
• Benefits package (sports activities, a variety of stores and services)
• Housing support program: preferential mortgage access via Otbasy Bank partnership