3 дня назад
Senior Software Engineer (AI)
160 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer (AI): Building full-stack product experiences, Java APIs, and interfaces for configuring and governing AI Gateways, MCP tools, and agent-to-agent interactions with an accent on TypeScript, Angular, distributed systems, and operational data visualization. Focus on designing asynchronous Java services, modeling complex platform data, securing AI agent workflows, and validating AI-assisted development for correctness, maintainability, and performance.
Location: Denver, United States; hybrid
Salary: $160,000 per year
Company
provides an API, event, and AI agent management platform, including AI Agent Security capabilities, for global enterprise customers.
What you will do
- Design and deliver full-stack features from technical discovery through implementation, testing, release, and iteration.
- Build responsive interfaces and data visualizations with TypeScript and Angular.
- Design and develop Java REST APIs, backend services, data models, and platform integrations.
- Contribute to the core gateway runtime using asynchronous and non-blocking patterns for performance-sensitive code.
- Build capabilities for configuring and observing AI Gateways, MCP tools and servers, agent identity, and agent-to-agent interactions.
- Collaborate with product managers, designers, engineers, and technical leaders through code and design reviews.
Requirements
- Significant production experience building and operating full-stack applications, typically five or more years at this level.
- Strong Java experience with maintainable REST APIs and backend services.
- Strong TypeScript and modern component-based frontend development experience.
- Experience with data-rich interfaces, data modeling, distributed systems, asynchronous workflows, and automated testing.
- Experience with MongoDB or relational databases and search or analytics technologies such as Elasticsearch or OpenSearch.
- Ability to use and critically review LLMs or AI coding assistants in engineering workflows.
Nice to have
- Angular, Vert.x, RxJava, Netty, Docker, Kubernetes, or cloud-native delivery experience.
- Experience with API management, API gateways, OpenAPI, Kafka, OAuth 2.0, or OpenID Connect.
- Experience with MCP, A2A, tool calling, LLM proxies, RAG systems, or agentic workflows.
- Open-source software or enterprise developer platform experience.
Culture & Benefits
- Hybrid work culture with hubs across regions.
- Competitive medical coverage and pension or 401(k) program options.
- Stock options, 25 days of holiday, and in-country national holidays.
- Three mental health days, a wellness allowance, and a birthday day off.
- Professional development budget, quarterly team events, and an annual company offsite.
- Collaborative, international environment with opportunities to grow scope and career.
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