Principal Software Engineer - AI Platforms & Communications

May 29

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Weave

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Weave is building a generative AI platform and knowledge graph that will revolutionize how life science companies collaborate

2 - 10 employees

📋 Description

• Set architecture & strategy for multi‑tenant, AI‑powered communications services (voice, SMS, email). • Design and build RAG pipelines, vector‑store–backed retrieval layers, and fine‑tuning workflows that deliver low‑latency, context‑aware experiences. • Lead end‑to‑end platform initiatives: data ingestion, event processing, model hosting, continuous evaluation, and cost/latency optimization. • Champion best practices for LLM safety, prompt management, experiment tracking, observability, and auto‑scaling. • Influence roadmaps across Product, Design, and multiple engineering squads; unblock teams with reusable SDKs, templates, and reference architectures. • Mentor & level‑up senior and staff engineers; foster a culture of ownership, experimentation, and inclusive collaboration.

🎯 Requirements

• 10+ years building distributed, customer‑facing systems; 3+ years designing ML or LLM production workloads at scale. • Proven success with LLMs, RAG architectures, vector databases (e.g., Pinecone, Weaviate, PG Vector), embedding models, and fine‑tuning techniques. • Deep knowledge of multi‑tenant SaaS patterns, data isolation, and usage‑based cost modeling. • Fluency in at least one of Go, Python, or Java (Go/Python preferred) plus modern cloud stacks (GCP or AWS). • Experience integrating or operating communications stacks—SIP/WebRTC for voice, SMS gateways, and transactional email services. • Expertise in Kubernetes, IaC/GitOps, observability, and CI/CD for high‑compliance environments (HIPAA/PCI). • Track record of shipping large, cross‑org initiatives on time and mentoring others to do the same.