Sr Backend Engineer - AI

About SigNoz

SigNoz is an open-source observability platform that helps modern engineering teams monitor, debug, and optimize their applications with deep visibility into metrics, traces, and logs, all in one place. We're built natively on OpenTelemetry and offer both self-hosted and cloud options, so teams can run observability the way they want, without vendor lock-in.

We are growing fast and building core developer infra products:

• 31,000+ GitHub stars
• 900+ customers
• 8,000+ members in our Slack community

Role: Sr Backend Engineer - AI

We're looking for a Sr Backend Engineer for Nerve, our AI pod. Nerve builds the AI layer of SigNoz: Noz (our AI teammate), the MCP server, AI Agents, and LLM observability. We're building toward agent-native observability, where the engineer and their agent are both first-class users.

What You'll Work On

• Noz, our AI teammate: Agent orchestration, tool calling, streaming over SSE, and session state—the hard parts of agent backends.
• SigNoz MCP server: The surface through which any LLM agent works with SigNoz, querying logs, metrics, and traces, and creating alerts and dashboards.
• LLM/GenAI observability: Monitoring AI apps with OpenTelemetry, including our own.

What Will Make You Successful

• 5–8 years building backend systems in production at product companies with a strong engineering culture, working across both Go and Python.
• Strong expertise with Go (concurrency, channels, performance) and async Python (FastAPI, Pydantic, asyncio), with comfort designing APIs and data models.
• Curiosity about building with LLMs and agents. You don't need prior AI experience—strong backend engineers pick this up quickly, and we will ramp you up. What matters is the drive to make a non-deterministic system behave dependably.
• High ownership in a fast-moving, remote-first team: driving initiatives from problem discovery through design, implementation, and rollout, while writing clear documentation and explaining trade-offs.

Nice-to-Haves

• Shipped LLM features in production (agents, tool or function calling, evals, MCP, context, and prompt engineering).
• Familiarity with OpenTelemetry, ClickHouse, Kafka, or Kubernetes.
• Passion for open source, ideally with prior contributions to OSS projects of any size.

Why You'll Love Working at SigNoz

• Define agent-native observability, a new category, rather than maintaining a legacy dashboard product.
• A direct pathway into AI engineering: bring your backend depth, and we bring the AI challenges.
• Ship in the open alongside a high-caliber, high-velocity engineering team.
• Remote-first, async-friendly culture.