1 час назад
Senior Backend Engineer (AI)
130 000 - 162 200$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Backend Engineer (AI): Design, build, and run cloud backend services for AI-powered features using LLMs with an accent on scalable, highly available microservices on Azure and Kubernetes. Focus on building LLM-powered features, event-driven asynchronous architectures, and end-to-end delivery including Terraform, CI/CD, and production incident response.
Location
Location: U.S. Remote
Salary
Estimated Base Salary $130K – $162.2K • Offers Equity • Offers Bonus
Company
is a pioneer in securing human and machine identities through intelligent, centralized authorization, leveraging AI-powered intelligence in a cloud-native Identity Security Platform.
What you will do
- Build and run scalable, highly available backend services in C#/.NET, Python, and Go on Azure and Kubernetes.
- Develop LLM-powered features on platforms like Azure AI Foundry including model integration, context pipelines, RAG, tool calling, agents, and evaluation.
- Design event-driven, asynchronous architectures across microservices.
- Own delivery end to end: Terraform, CI/CD, monitoring, and production incident response.
- Collaborate closely with product, UX, and platform teams; participate in code and design reviews.
- Use AI-assisted development tools daily to design, write, and review code.
Requirements
- Location: Must be based in the U.S.
- Degree in Computer Science or related field, or equivalent experience.
- 8+ years experience designing and building production backend services in C#/.NET, Python, or Go.
- Hands-on experience building products with LLMs including inference, structured outputs, RAG, tool calling, or agents on platforms like Azure AI Foundry, OpenAI API, Amazon Bedrock, Google Vertex AI, or Anthropic API.
- Fluency with AI-assisted development tools and practices.
- Strong knowledge of distributed systems, API design, microservices, and major cloud providers.
- Understanding of multi-tenant SaaS architecture and operating at scale.
Nice to have
- Experience building tools, APIs, or integrations for AI agents (MCP servers, function/tool-calling interfaces, plugins).
- ML and MLOps experience including fine-tuning, evaluation harnesses, and production model deployment.
- Experience with Kubernetes, Terraform, and CI/CD pipelines.
- Background in identity security, PAM, or Zero Trust.
Culture & Benefits
- Meaningful work protecting human and machine identities for large organizations.
- Culture of innovation, collaboration, and career progression.
- Competitive salaries, bonus programs, healthcare insurance, pension/retirement matching, life insurance, employee assistance, paid time off, and holidays.
- Core values: Spirited, Trust, Respect, Ownership, Nimble, Global.
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