Senior AI Engineer (Founding Team) — Real-Time Context Graph (RCG) + Firewall Proxy for Context

FortiContext is building foundational technology for enterprise AI with their Real-Time Context Graph and Agentic AI Firewall Proxy. They are seeking a hands-on Senior AI Engineer to architect and implement core components of these systems, prototype solutions, and work closely with the founder to shape the future of the product.

Responsibilities:

• Architect and implement core pieces of the RCG + Firewall Proxy
• Build a high-fidelity working prototype in the first 8–12 weeks
• Work directly with the founder to iterate, test, and refine the system
• Influence the tech stack, architecture, hiring, and future roadmap
• Become a founding technical leader as we raise our pre-seed and grow
• Modeling entities, relationships, data sources, authority rules
• Simple graph DB or relational edges model for MVP
• Relevance computation → proximity, recency, authority
• Dynamic context assembly (summaries, masking, dedupe, token budgets)
• Gateway between agents, tools, LLMs, and enterprise data
• Auth, RBAC/ABAC, policy evaluation, cost limits
• Tool interception layer (retrieval, SQL, API calls routed safely)
• Audit logging, traceability, usage metrics
• Integration with Agent Frameworks
• Extract relevant entities based on task/intent
• Assemble an LLM-ready context package
• Enforce token limits, freshness windows, and governance filters
• Capture outcomes from agent actions
• Update RCG edges, authority, recency, relevance
• Improve context quality over time without retraining the LLM
• Ship the first working system that demonstrates: 30–60% reduction in tokens, Lower hallucinations, Role-aware and task-aware context assembly, Full governance enforcement, A repeatable onboarding path for new agents

Requirements:

• 5–10+ years building production-grade AI/ML or backend systems
• Deep hands-on with Python
• LangChain, LangGraph, CrewAI, AutoGen, or similar
• Vector DBs (Pinecone, Weaviate, Redis, Milvus)
• Graph DBs or graph-like modeling
• RAG pipelines
• LLM APIs: OpenAI, Anthropic, Azure OpenAI, Bedrock
• Experience building API gateways, middleware, or control planes
• Excellent system design + architecture thinking
• Comfort designing MVPs and iterating rapidly
• Prior work with agentic systems
• Understanding of RBAC/ABAC, policy engines, OAuth/JWT/mTLS
• Observability (logs, metrics, traces)
• Streaming systems (Kafka, pub/sub)
• Knowledge of multi-agent patterns