AI solution engineer for analytics assistants

EPAM; United States; Remote; USD 150,000 - 220,000; Full time

Benefits offered by this job

Employee stock purchase plan

Relocation assistance

English language courses

Medical & family care package

Housing support

Job summary

EPAM в США ищет лидa AI/ML инженера для руководства кросс‑функциональной командой инженеров, аналитиков и специалистов по данным, разрабaтывая стратегию AI‑решений и направляя их реализацию.

Вы будете разрабатывать агентов на LLM‑фреймворках, интегрировать с данными, API и корпоративными приложениями, строить платформу, ETL/ELT конвейеры, интерфейсы на Python/React и Power BI, а также обеспечивать развёртывание и мониторинг решений.

Qualifications

• 5+ лет опыта в аналогичных ролях (AI Engineering, ML Engineering, Data Engineering).
• Опыт ведения технических команд и доставки сложных проектов.
• Опыт разработки AI/Data решений на продакшн.

Responsibilities

• Вести и наставлять кросс-функциональную команду инженеров.
• Определять техническое видение и архитектуру AI-решений.
• Разрабатывать агентов на современных LLM-фреймворках.
• Интегрировать агентов с данными, API и enterprise-приложениями.
• Собственный модуль платформы для развёртывания и мониторинга агентов.
• Проектирование UI/UX и приложений на Python и React/JS, API, дашборды.
• Сформировать и поддерживать ETL/ELT конвейеры для данных.
• Развертывать AI-решения в облаке/гибридной инфраструктуре.
• Поддержка CI/CD для агентов и дата‑приложений.
• Взаимодействие с заказчиками и бизнес‑командами.
• Проведение code reviews и поддержка культуры качества.

Skills

Python

React

JavaScript/TypeScript

SQL

REST APIs

Git

Power BI

Cloud (GCP/AWS/Azure)

English (B2+)

LLM/AI frameworks

Tools

LangChain

LlamaIndex

Semantic Kernel

AutoGen

Job description

Описание:

Описания нет

Задачи:

Lead and mentor a cross-functional team of Software Engineers, Machine Learning Engineers and Data Engineers, fostering technical growth and collaboration Drive the technical vision and architectural decisions for AI solutions, ensuring alignment with business objectives and engineering best practices 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 Build advanced analytical models and Power BI deliverables, and define standards and templates that improve consistency and reuse Create 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 Conduct code reviews, establish engineering standards and promote a culture of quality, ownership and continuous improvement

Требования:

5+ years of experience in similar roles (AI Engineer, ML Engineer, Data Engineer), including hands-on experience delivering AI or data solutions to production Proven leadership experience, including leading technical teams, mentoring engineers and driving delivery of complex projects Proficiency in Python Background in frontend development with React and JavaScript / TypeScript Capability to write 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 Familiarity with Power BI, including data modeling and report development Strong communication and stakeholder management skills, with the ability to translate business needs into technical solutions and influence decision-making Excellent command of written and spoken English (B2+ level) Будет плюсом: Experience with LLM and agent frameworks such as LangChain, LangGraph, LlamaIndex; Familiarity with 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