Senior AI Engineer 

Location: Remote
Start Date: Immediate
Type: Full-Time
Salary: Competitive Salary + Equity

About WiseBee

WiseBee is building an AI-powered infosec team that never sleeps.

• Unifies threat intelligence, attack surface monitoring, third-party risk management, and automated mitigation — built for speed, scale, and zero overhead
• Piloting with leading organisations including TikTok, Payhawk, Deel, the Santa Monica Government and others
• Founded by the team that scaled SecurityScorecard from $10M to $150M ARR
• Backed by top-tier VCs who specialise in early-stage AI and cybersecurity

What You’ll Do

You’ll be a founding engineer building the backbone of our agent-based cybersecurity AI platform:

• Architect and scale our multi-agent AI orchestration engine
• Build workflows to unify and integrate unstructured data into structured insights
• Build RAG pipelines using vector DBs, embedding models, and long-context LLMs
• Design entity linking and knowledge graph pipelines for cyber data
• Evaluate LLM outputs (precision, hallucination, guardrails)
• Write production-grade Python and deploy using GKE, Cloud Run, and Terraform
• Contribute to product direction, infrastructure, and data strategy

You Might Be a Fit If You

• Have 5+ years experience in AI/ML or data engineering or equivalent project experience
• Have built multi-agent LLM workflows and retrieval-based systems
• Know vector DBs (pgvector, Pinecone etc) and graph DBs (Neo4j, Memgraph etc)
• Have deployed NLP pipelines across varied data types and sources
• Care about retrieval quality, latency, and prompt robustness
• Have shipped and owned real-world systems — preferably at early-stage startups

Bonus Points

• Experience fine-tuning or deploying Small Language Models (SLMs)
• Familiarity with cybersecurity concepts (CVEs, threat intel feeds, MITRE ATT&CK)
• Experience with LangChain, LlamaIndex, or agent orchestration frameworks
• Built systems for AI observability or evaluation pipelines