Sr Backend Engineer - AI
- Role
- Backend
- Experience
- Senior
- Employment
- Full-time
- Company size
- Startup
Open to IN only. Set where you work from to check your eligibility.
No BS summary
Senior Backend Engineer with 5-8 years of experience in production at product companies. Must be strong in Go (concurrency, performance) and async Python (FastAPI, Pydantic, asyncio), comfortable with API and data model design. Experience with LLMs and agents is a plus, but drive to make non-deterministic systems dependable is key. High ownership in a remote-first, fast-moving team is expected.
Core skills
Required skills
Optional skills
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. And we are not fooling around:
- 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.
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, dashboards
- LLM/GenAI observability: monitoring AI apps with OpenTelemetry, ours included
WHAT WILL MAKE YOU SUCCESSFUL
- 5-8 years building backend systems in production at product companies with strong engineering culture. You'll work across both Go and Python.
- Strong with Go (concurrency, channels, performance) and with async Python (FastAPI, Pydantic, asyncio), and comfortable designing APIs and data models.
- Curious about building with LLMs and agents. You don't need AI experience, strong backend engineers pick this up fast, and we'll ramp you up. What matters is the drive to make a non-deterministic system behave like a dependable one.
- High ownership in a fast-moving, remote-first team: you drive initiatives from problem discovery → design → implementation → rollout, write clear docs, and explain trade-offs.
NICE-TO-HAVES
- Shipped LLM features in production: agents, tool or function calling, evals, MCP, context and prompt engineering
- Familiarity with OpenTelemetry and/or ClickHouse, Kafka, Kubernetes, etc.
- Loves open source, ideally with prior contributions to OSS projects (any size)
WHY YOU'LL LOVE WORKING AT SIGNOZ
- You'll help define agent-native observability, a new category, not maintain a mature dashboard product.
- If you've been wanting to move into AI engineering, this is a real path in: you bring the backend depth, we bring the AI problems.
- Ship in the open, with a high-caliber team who just can't stop shipping.
- Remote-first, async-friendly culture
What you'll do
- Build Noz, our AI teammate: agent orchestration, tool calling, streaming over SSE, and session state, the hard parts of agent backends
- Build SigNoz MCP server: the surface through which any LLM agent works with SigNoz, querying logs, metrics, and traces, and creating alerts, dashboards
- Build LLM/GenAI observability: monitoring AI apps with OpenTelemetry, ours included
- Drive initiatives from problem discovery → design → implementation → rollout
- Write clear docs
- Explain trade-offs
What they require
- 5-8 years building backend systems in production at product companies with strong engineering culture
- Strong with Go (concurrency, channels, performance) and with async Python (FastAPI, Pydantic, asyncio), and comfortable designing APIs and data models
- Curious about building with LLMs and agents. You don't need AI experience, strong backend engineers pick this up fast, and we'll ramp you up. What matters is the drive to make a non-deterministic system behave like a dependable one.
- High ownership in a fast-moving, remote-first team
Benefits
- Help define agent-native observability, a new category, not maintain a mature dashboard product.
- Real path into AI engineering: bring backend depth, we bring the AI problems.
- Ship in the open, with a high-caliber team who just can't stop shipping.
- Remote-first, async-friendly culture
SigNoz is an open-source observability platform that brings metrics, logs, and traces into one product.