
Building Intelligent Enterprise Agents
1 week ago
We're looking for a skilled backend software engineer to help us build foundational services that power agent observability, feedback systems, and data capture for large language model fine-tuning.
">This role sits at the intersection of infrastructure and AI, enabling intelligent enterprise agents.
">Key Responsibilities:
">- ">
- Design and maintain backend services for agent orchestration, session tracking, and feedback ingestion">
- Build APIs and microservices that support real-time and batch workflows">
- Integrate observability tooling to enable fine-grained monitoring of agent behavior">
- Work closely with the AI team to structure data pipelines and interaction logs">
- Contribute to internal SDKs and service interfaces used across deployments">
Requirements:
">- ">
- 2–5 years of backend engineering experience (Node.js, Python, or similar)">
- Experience with API development, WebSockets, and microservices patterns">
- Familiarity with DynamoDB, Redis, and message buses like Kafka/EventBridge">
- Exposure to observability stacks (OpenTelemetry, tracing, metrics)">
- Bonus: experience working on LLM-based or event-driven systems">
What We Offer:
">- ">
- Opportunities to work on cutting-edge AI projects">
- Collaborative environment with experienced engineers">
- Chance to contribute to the development of internal tools and services">
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