Note: The job is a remote job and is open to candidates in USA. Blue Signal is an award-winning executive search firm specializing in recruiting top-tier talent across multiple industry verticals and professional services. Its client is seeking an AI Backend Systems Engineer to build and operate scalable backend infrastructure, model-serving systems, and workflow coordination components for production AI applications. The role focuses on distributed systems, performance, reliability, observability, and integrating modern AI capabilities into real-world software.
Responsibilities
- Build scalable backend infrastructure that powers AI-driven applications and enterprise automation workflows
- Shape model-serving and workflow coordination components that connect inference, application logic, data, and external services
- Tune service performance across request routing, caching, batching, streaming, and model calls with close attention to response time, capacity, availability, and spend
- Create durable interfaces and service contracts that allow client applications, data stores, AI components, and third-party tools to work together cleanly
- Establish strong operational visibility through telemetry, diagnostics, alerting, and disciplined response to production issues
- Diagnose issues within distributed environments, determine underlying causes, and use real-world performance data to strengthen system reliability
- Turn loosely defined product or operational needs into practical technical plans, then carry solutions from design through release and refinement
- Partner across engineering and business functions while independently driving technically ambiguous work to completion
Skills
- Proven backend engineering experience delivering dependable, scalable production services
- Hands-on success with high-volume, latency-sensitive systems and troubleshooting distributed architectures during heavy demand
- Practical experience with production AI software, such as LLM or model inference, workflow orchestration, model-facing APIs, or intelligent automation
- Working knowledge of Python, Node.js, PyTorch, relational and non-relational data stores, Kubernetes, and Docker
- Experience integrating commercial or open-source language models, including platforms from OpenAI or Anthropic
- Strong command of API design, databases, cloud infrastructure, and scalable systems architecture
- Demonstrated ownership, sound engineering judgment, and accountability for outcomes in fast-moving, uncertain environments
- Clear communication with technical and non-technical partners, paired with a strong bias toward shipping quality software and learning from real-world usage
Benefits
- Fully remote opportunity available to qualified candidates nationwide.
- Hands-on ownership of technically challenging systems from architecture through production operation.
- Exposure to modern AI infrastructure, model integrations, distributed services, and cloud-native technologies.
- A highly technical environment where engineering judgment, execution, and quality matter more than pedigree.
- Opportunity to solve complex scalability and reliability challenges as AI capabilities move from experimentation into production.
Company Overview