Senior Backend Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Backend Engineer (AI): Building and scaling AI-driven operations systems with an accent on agent orchestration, RAG patterns, and production-grade automation frameworks. Focus on designing secure, high-performance services and end-to-end product lifecycle management to drive efficiency across the ecosystem.
Location: Must be based in or able to work from Austin, TX (Hybrid)
Salary: $135,960–$203,940
Company
is an AI-driven ecosystem parent company to Big, Feedonomics, and Makeswift, dedicated to empowering businesses through innovative data and AI solutions.
What you will do
- Develop secure, high-performance services connecting data systems, AI models, and business applications.
- Own the end-to-end product lifecycle from discovery and architecture to deployment and monitoring.
- Design and maintain AI applications that streamline workflows and extend automation capabilities.
- Rapidly prototype and iterate on new features, experimenting with AI integrations to drive business impact.
- Implement engineering best practices for performance, maintainability, and data security.
- Partner with data engineers and analysts to ensure system ownership and technical alignment.
Requirements
- 5+ years of professional experience as a backend engineer with a track record of scaling production-grade applications.
- Demonstrated experience building AI-driven products including agent orchestration, RAG patterns, and structured outputs.
- Proficiency in cloud-native environments such as AWS, GCP, or Vercel.
- Strong understanding of AI operational realities including latency, cost, and hallucination mitigation.
- Security-focused mindset with experience designing guardrails and evals for AI systems.
- Ability to balance rapid prototyping with long-term architecture planning in a fast-moving environment.
Culture & Benefits
- Commitment to an inclusive and accessible hiring experience.
- Focus on experimentation, innovation, and technical craftsmanship.
- Opportunities to work on cutting-edge AI-native products and automation.
- Collaborative environment with autonomy in product delivery.
- Competitive compensation including base salary, variable pay, and equity.
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