AI Agent Engineer

Навыки

• AI-агенты
• B2B-продажи
• GraphQL
• JWT
• LLM
• Machine Learning
• OAuth / OIDC

О компании и продукте

• This mindset shapes how we build, experiment, and deliver value. We develop across web, desktop, and mobile platforms, quickly testing ideas and shipping usable solutions. Our focus is on turning complex technologies into accessible, real-world applications. Our projects often begin as experiments and grow into full-scale products. We're building fast, thinking holistically, and moving with intention
• Мы разрабатываем платформы для работы с данными, мультиагентные системы и решения на базе AI и автоматизации для поддержки аналитических и операционных процессов

Задачи

• Participate in the LLM-based projects
• Develop end-user AI solution over data integration platform
• Deliver env-independent solutions based on skills, MCP, and agent harness
• Evaluate the agents
• Find and test data providers
• Research new approaches, technologies, services, etc. for applicability and implementation in the project
• As a Middle/Senior AI Engineer , you will play a pivotal role in shaping our experimental and production AI initiatives

Требования

• Deep AI Fluency: Strong grasp of LLM ecosystems (OpenAI/Anthropic), MCP server and skills development, and execution in different modes (Claude Desktop/Cowork/Live Artifacts/Client SDK/Managed Agents/Agents SDK, OpenAI API/Agents SDK)
• AI-assisted Engineering Tools: Daily use of Claude Code and Codex
• own, manage and adopt project-level skills/subagents/MCPs
• Builder’s Instinct: You’ve built tools, apps, agents, or experiments that get used fast. You know when to hack and when to architect
• Strong Engineering Foundation: Proficiency in Python, PostgreSQL, any vector DB, and fluent in general web dev topics (OAuth/OIDC, REST/GraphQL, cookie/JWT, sync/async, RabbitMQ/Redis, HTTP/WebSockets)
• Startup Mentality: We value people with a high degree of agency
• Bias toward action
• Comfortable with ambiguity
• Flexible and adaptable to shifting priorities and opportunities
• Analytical & Outcome-Oriented: You treat experiments like hypotheses. You measure what matters and optimize for product value—not just a task closure
• As a fully remote, distributed team, we collaborate across locations and time zones, bringing together diverse expertise to build products that deliver meaningful impact for our clients
• This is not a traditional R&D role—it's a dynamic blend of research, rapid prototyping, system thinking, and hands-on engineering execution
• You’ll work across a range of emerging AI agent paradigms and tools, helping us validate product ideas through MVPs and PoCs before scaling them into robust systems
• We're looking for someone who is pragmatic, technology-agnostic, and obsessed with impact

Будет плюсом

• Prior experience launching agent-based products or co-pilots
• Familiarity with front-end frameworks for demoing AI tools (e.g., Streamlit, CopilotKit)
• Experience of moving scaffolded ReAct agents to AI harness agents
• Experience working in a startup or 0→1 product environment
• Knowledge of data analytics tools and metrics tracking
• Experience integrating AI tools with business systems (CRMs, back-office tools, etc.)
• We are offering
• Competitive salary paid in USD
• Zero bureaucracy
• 100% remote work, optional in-person meetups
• B2B contract
• Наша распределенная команда сочетает инженерную экспертизу, современные AI-технологии и продуктовый подход для создания решений, которыми ежедневно пользуются клиенты
• Телеграм-бот с вакансиями Вакансии Зарплаты Каталог Работодателям Разместить вакансию Зарегистрироваться Войти Нужна помощь?

Условия

• Volt is an AI-native product team building tools at the intersection of artificial intelligence, automation, and user-friendly interfaces
• We specialize in intelligent systems for venture capital, private equity, and investment management firms, primarily serving the US market
• Our work involves intelligent document workflows, chatbots, and agent-driven interaction models that help investment professionals operate more efficiently and make better-informed decisions
• Being AI-native means we don't simply add AI features to existing products—we design systems, workflows, and user experiences around the capabilities of modern AI from the ground up
• Paid leaves and flexible working hours

Паспорт вакансии

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