Agentic AI engineer in higher education

AgileEngine; United States; Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Mentorship

Tech Talks

Growth roadmaps

Flexible schedule

Remote & Office options

Education budget

Fitness budget

Team activities

Job summary

AgileEngine ищет Senior AI Engineer для разработки агентских рабочих процессов и продуктов на основе ИИ для корпоративных клиентов в образовании.

Наша команда строит агент‑ориентированные решения, которые координируют инструменты и данные, обеспечивая масштабируемые и надёжные сервисы. Требуется опыт создания production‑grade AI‑agents, высокий уровень владения Java, Spring Boot, TS/Python, AWS и REST APIs. Гибридный формат работы в США позволяет сочетать офис и удалёнку.

Qualifications

• 5+ лет опыта в разработке ПО.
• Глубокие знания Java и Spring Boot.
• Опыт JavaScript/React.
• Опыт работы с реляционными базами данных.
• Hands-on опыт создания AI‑агентов, LLM‑приложений или оркестрированных рабочих процессов.
• Опыт использования агентов для поддержки кодирования, ревью, тестирования или выпуска.

Responsibilities

• Проектирование и создание агентских рабочих процессов, координация инструментов, сервисов и данных.
• Разработка повторно используемых паттернов оркестрации агентов, управления контекстом, памяти и совместной работы.
• Использование агентских инструментов на протяжении жизненного цикла разработки, включая планирование, реализацию, тестирование и документацию.
• Интеграция агентов в процессы разработки, тестирования, развёртывания, поддержки и эксплуатации.
• Установление стандартов оценки агентов, наблюдаемости, надёжности и безопасности.
• Прототипирование новых возможностей и их перевод в продукцию.

Skills

Java

Spring Boot

JavaScript

React

Relational databases

AI agents

LLM workflows

TypeScript

Python

RESTful APIs

AWS

Multi-agent systems

Vector search

RAG

Agent evaluation

Human-in-the-loop

Observability

Security

Tools

AWS

REST APIs

Job description

Описание

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. We are looking for a Senior AI Engineer to design and build agentic workflows and AI-powered products for enterprise customers in higher education.

Задачи

• Design and build agentic workflows that coordinate tools, services, data, and human approvals.
• Develop reusable patterns for agent orchestration, tool use, context management, memory, and multi-agent collaboration.
• Use agentic coding tools throughout the development lifecycle, including planning, implementation, testing, debugging, refactoring, code review, and documentation.
• Integrate agents into software development, testing, deployment, support, and operational workflows.
• Establish standards for agent evaluation, observability, reliability, security, and governance.
• Prototype new agentic capabilities and turn successful experiments into production systems.
• Build complete, usable products - not just demonstrations or isolated model integrations.
• Identify opportunities to improve engineering productivity and product delivery through agentic development.
• Mentor engineers and help shape an agentic-first technical strategy across the organization.
• Collaborate with product and engineering leaders to connect agentic capabilities to meaningful outcomes.
• Demonstrate the ability to use AI coding agents as productive engineering collaborators across an application codebase.
• Provide agents with clear context, constraints, architecture, acceptance criteria, and technical direction.
• Review, test, secure, and improve agent-generated code rather than accepting outputs without verification.
• Decompose complex application work into agent-ready tasks while maintaining architectural consistency and product intent.
• Create workflows in which agents can reason, select tools, call APIs, manage state, recover from failures, and escalates to people when appropriate.
• Design agentic applications around real user needs, including intuitive experiences, reliable workflows, permissions, audit trails, and meaningful error handling.
• Move from prototype to production by addressing performance, scalability, security, monitoring, evaluation, cost, and ongoing maintenance.
• Understand problems deeply, make appropriate tradeoffs, and deliver complete solutions that customers can depend on.

Требования

• 5+ years of experience in a software product development environment.
• Strong proficiency with Java and Spring Boot.
• Experience with JavaScript and React.
• Experience with relational databases.
• Hands‑on experience building AI agents, tool‑using LLM applications, or orchestrated workflows.
• Experience using agents to support coding, code review, testing, release management, or incident response.
• Senior‑level experience building and operating production software systems.
• Experience with TypeScript, Python, RESTful APIs, and infrastructure on AWS.
• Experience with APIs, workflow engines, event‑driven architectures, integrations, or distributed systems.
• Strong understanding of testing, observability, security, permissions, and failure recovery.
• Ability to turn ambiguous opportunities into practical, reliable technical solutions.
• Strong communication skills and the ability to influence engineering practices across a team.
• Experience building enterprise SaaS or multi‑tenant systems.
• Leadership mindset and ability to drive changes across different teams.
• Upper‑intermediate English level.
• Experience with multi‑agent systems.
• RAG.
• Vector search.
• Agent evaluation.
• Human‑in‑the‑loop workflows.
• Familiarity with higher education technology and its privacy and compliance requirements.
• Experience leading technical transformation or introducing new engineering practices.

Условия

• Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
• Competitive compensation: USD‑based pay with education, fitness, and team activity budgets.
• Exciting projects: Modern solutions with Fortune 500 and top product companies.
• Flextime: Flexible schedule with remote and office options.