Contact center software using advanced AI & NLU to automate outdated workflows for support agents & QA teams.
Senior Backend Engineer – AI Agents
Location
United States
Posted
3 days ago
Salary
0
Seniority
Senior
Job Description
Senior Backend Engineer – AI Agents
Level AI
• Design and build scalable backend systems powering AI Agents that operate in real-time enterprise environments • Develop agent orchestration frameworks (multi-step reasoning, tool usage, decisioning workflows) • Build systems for agent memory, context management, and state persistence across interactions • Architect low-latency inference pipelines integrating LLMs, SLMs, and external tools/services • Implement evaluation (evals) frameworks to measure agent performance, accuracy, and reliability • Enable continuous improvement loops (feedback → retraining → deployment) for AI agents in production • Design and manage event-driven, asynchronous workflows for complex agent tasks • Optimize systems for high throughput, low latency, and cost-efficient inference at scale • Build and maintain robust APIs and service layers (REST / gRPC) for agent capabilities • Partner closely with Applied AI / ML teams to productionize models and agent behaviours • Collaborate with Product and Solutions teams to translate real customer workflows into agentic systems • Drive best practices in observability, monitoring, safety, and guardrails for AI systems • Contribute to architecture decisions for scaling multi-tenant, enterprise-grade AI platforms
Job Requirements
- 5+ years of experience in backend engineering, distributed systems, or platform engineering
- Strong experience building high-scale, production-grade backend systems
- Experience designing systems for real-time processing, streaming, or event-driven architectures
- Strong understanding of API design (REST, gRPC) and microservices architectures
- Experience with databases (SQL + NoSQL) and data modeling for high-scale systems
- Hands-on experience with Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure)
- Strong fundamentals in system design, concurrency, and performance optimization
- Experience working with LLMs, conversational AI, or AI-powered products in production (strong plus)
- Familiarity with agent frameworks, tool calling, or multi-step reasoning systems (strong plus)
- Experience building or integrating RAG pipelines, vector databases, or retrieval systems (strong plus)
- Exposure to evaluation systems (offline/online evals, A/B testing for AI systems) (strong plus)
- Understanding of prompting strategies, context windows, and model behavior optimization (strong plus)
- Experience with real-time decisioning systems or workflow orchestration engines (strong plus)
Benefits
- Competitive compensation with performance-based upside
- Flexible vacation policy
- Health insurance coverage
- Work with a globally distributed, high-impact team
- Opportunity to build cutting-edge AI products at scale
- Regular team offsites and in-person collaboration
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