Full-time$160k–200k / yrWorldwide
About the Role
This is a high-impact individual contributor role on the engineering team of an early-stage AI/ML platform company focused on cloud-native architecture intelligence. You will design and build the intelligent backend systems that power observability, architecture modeling, and AI-driven recommendation engines, sitting at the intersection of distributed systems, data pipelines, and ML infrastructure.
What You'll Do
- Design and build scalable backend systems powering observability, architecture modeling, and recommendation engines using data pipelines, microservices, and system modeling techniques.
- Collaborate with AI engineers to embed LLM-based and multi-agent intelligence within the platform, enabling rich recommendations and generative planning features.
- Build services that identify architecture patterns and deliver actionable visibility to users.
- Implement monitoring, fault-tolerant workflows, and observability layers for mission-critical services.
- Work cross-functionally with product managers, AI researchers, and technical leadership to translate requirements into robust platform capabilities.
- Share learnings and contribute to a strong, collaborative engineering culture.
What We're Looking For
- 4+ years of backend engineering experience at top-tier startups or technology companies, building production-grade systems.
- Proven track record building scalable, distributed systems and microservices architectures, ideally in 0-to-1 product environments.
- Expertise in Go or Python with a commitment to clean, idiomatic, maintainable code.
- Hands-on experience with data pipelines, observability systems, and monitoring infrastructure for production services.
- Deep knowledge of DevOps tooling, infrastructure-as-code, and cloud-native technologies.
- Experience integrating or building with LLM-based systems, AI workflows, or multi-agent architectures.
- Strong aptitude for performance tuning, debugging complex systems, and technical architecture design.
- Prior startup experience and comfort operating with autonomy and ownership in fast-moving environments.
- Practical experience with fault-tolerant workflow design and resilience patterns in mission-critical services.
- Proficiency with AI-assisted development tools (such as Cursor or similar).
- Strong Computer Science fundamentals; graduate-level education is a plus.
- Domain experience with cloud architecture, infrastructure optimization, or technology stack modernization is a bonus.
Compensation & Benefits
- Salary: $160,000 to $200,000 per year (USD)
- Visa sponsorship: Not available
Location
Fully remote, open to candidates based in the United States.
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