1 час назад
Staff SW Engineer (Agentic AI)
131 600 - 210 300$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Staff SW Engineer (Agentic AI) (Java/Python/GenAI): Building scalable backend systems and an Agentic AI Platform that integrates autonomous agents, LLMs, RAG pipelines, and Visa microservices with an accent on distributed architecture, secure APIs, and production reliability. Focus on orchestrating multi-agent workflows, scaling fault-tolerant services, optimizing latency and cost, and leading technical standards across engineering teams.
Location: Bellevue, Washington, United States; at least 3 days per week in the office. Travel required 5–10% of the time.
Salary: $131,600–$210,300 USD per year, with potential bonus and equity.
Company
is a global payments technology company facilitating transactions among consumers, merchants, financial institutions, and government entities.
What you will do
- Architect and evolve an Agentic AI Platform supporting multi-agent orchestration, RAG, and integration with enterprise microservices.
- Build scalable backend services and RESTful or gRPC APIs using Java, Spring Boot, Python, FastAPI, and Flask.
- Integrate GPT, Claude, Mistral, Gemini, and other LLMs into production systems and develop agentic workflows.
- Design horizontally scalable, fault-tolerant systems with monitoring, observability, autoscaling, and reliability practices.
- Partner with engineers, ML specialists, and product leads to deliver the platform roadmap.
- Mentor developers, lead design reviews, establish coding standards, and drive automation and technical innovation.
Requirements
- At least 5 years of relevant experience with a bachelor’s degree, 2 years with an advanced degree, 0 years with a PhD, or 8+ years of relevant experience.
- 6+ years of backend software development experience with Java and Spring Boot.
- 2+ years of backend experience with Python and FastAPI, Flask, or similar frameworks.
- Production experience building and deploying agentic AI solutions, LLM-based orchestration, GenAI, and RAG systems.
- Experience with distributed microservices, REST/gRPC APIs, event-driven architectures, message queues, vector databases, cloud platforms, SQL/NoSQL databases, containers, and CI/CD.
- Ability to work from the Bellevue office at least 3 days per week.
Culture & Benefits
- Office-based work environment with department-dependent working hours.
- Medical, dental, vision, 401(k), FSA/HSA, life insurance, paid time off, and wellness program eligibility.
- Potential bonus and equity eligibility.
- Engineering culture emphasizing ownership, urgency, innovation, quality, collaboration, and technical leadership.
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