**We’re aiding the search for an exciting and fast-growing SaaS company based in San Francisco. They are looking for a Senior Engineer with experience building and deploying**
**AI-powered systems.**
This role sits at the intersection of backend engineering and
applied machine learning.
**What you will do do:**
- Build and operate production systems powered by modern AI models (LLMs, embeddings, etc.)
- Work across the stack: model integration, data pipelines, and backend services
- Improve system performance (latency, reliability, cost)
- Collaborate on model behavior, evaluation, and iteration
**What we’re looking for:**
**Core requirements**
- Strong software engineering experience (5+ years)
- Proficiency in Go and/or Python
- Experience building and shipping production systems
- AI / ML experience (practical, not academic)
- Experience working with LLMs, embeddings, or similar systems in production
- Familiarity with model behavior (prompting, evaluation, failure modes)
- Comfortable using ML frameworks (e.g., PyTorch) or APIs
**Preferred skills**
Experience with:
- Model fine-tuning or training workflows
- Inference-loop debugging: Debug the full tool-augmented inference loop, including where the stream stalls, mis-routes, or de-syncs from live I/O.
- Retrieval systems / vector databases
- Low-latency or high-throughput systems
- Streaming or real-time systems (e.g., audio, WebSockets)
- Infrastructure tools (Docker, Kubernetes, etc.)
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