AI Engineer (Agentic AI)

TL;DR

AI Engineer (Agentic AI): Building the Agent Harness execution runtime that powers SuperApp’s planning, reasoning, memory, and tool-execution loops with an accent on secure sandboxing, stateful agent choreography, and high-throughput integrations. Focus on designing state machines, enforcing security guardrails against prompt injection/jailbreaks, and optimizing LLM context and performance for production-grade agentic workflows.

Company

hirify.global develops an AI agent workspace (SuperApp) and an Agent Harness execution engine for enterprise unstructured data workflows.

What you will do

• Architect the Agent Harness execution runtime, including state management for pausing/resuming/versioning agent trajectories.
• Design and scale secure, isolated, ephemeral sandbox execution for untrusted agent-generated code (Docker/gVisor/WebAssembly/microVMs).
• Build high-throughput tool-calling and integration frameworks (including MCP) connecting to external services, databases, web search, and file processors.
• Implement security guardrails to detect/mitigate prompt injection and jailbreak attempts while enforcing system prompt and data isolation boundaries.
• Optimize LLM context usage and latency via routing, context window pruning, and context caching.
• Produce high-level design documentation, align engineering teams on the technical roadmap, and mentor senior/mid-level engineers.

Requirements

• Location: San Francisco, CA
• 8+ years of professional software engineering experience designing, scaling, and operating mission-critical distributed systems.
• 2+ years of production experience building/modifying agent execution environments, LLM orchestrators, or tool-calling frameworks (e.g., custom runtimes, LangChain, AutoGen).
• Expert proficiency in Go and Python, including concurrent programming, microservices, gRPC, and scalable API design.
• Strong experience with containerization/virtualization and sandboxing untrusted code execution (Docker/Kubernetes).
• Deep familiarity with message brokers (Kafka/RabbitMQ), caching (Redis), and relational/non-relational database design.

Culture & Benefits

• Hybrid work model (#Li-Hybrid) with office lunch credit when in the office.
• Flexible PTO.
• Comprehensive medical, dental, and vision insurance.
• 401(k) with matching.
• Parental leave and fertility benefits; therapy sessions covered (10 free sessions via Samata Health).
• Wellness stipend for gym memberships/fitness tech.

Hiring process

• Interviews and technical evaluation focused on systems design, distributed systems, runtime isolation/security, and agent execution architecture.

Salary: $230,000–$315,000 base + bonus, equity, and benefits.