Engineer
US$400,000 – US$550,000 / yr base salary
Posted 29 Jun 2026
Advertised as “Principal Engineer, Agentic AI Systems”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 10+ yrs
- Management level
- People management
- Visa sponsorship
- Offered
| Base salary | US$400,000 – US$550,000 / yr |
|---|
Study levelBachelor's
About Inflection AI
Inflection AI is a Public Benefit Corporation empowering people with human-centered, emotionally intelligent AI. We’re shaping the future of AI by combining emotional intelligence (EQ) and raw intelligence (IQ) to elevate people’s potential.
Inflection AI created Pi, the world’s first emotionally intelligent AI, to help people work through decisions, emotions, and challenges. Pi is a personal AI agent powered by Inflection AI’s foundation model, proving that AI can be personal, empathetic, and contextually aware.
About the Role
We're looking for a hands-on Principal Engineer to lead the architecture and technical direction of Inflection's agentic AI systems. You'll build production AI agents that can reason, retrieve context, use tools, and safely execute complex workflows while driving the design of scalable agent architectures, evaluation frameworks, observability, and reliability systems. Partnering closely with product, design, and engineering, you'll turn ambiguous problems into AI-native experiences, mentor senior engineers, and help establish the technical standards that power the next generation of intelligent agents.
What You’ll Do
- Build production AI agents that can plan, retrieve context, call tools, take actions, and recover from failures.
- Design agent architectures for task decomposition, tool routing, memory, state management, human approval, and safe execution.
- Create evals and observability systems for multi-step task success, tool-call accuracy, hallucination resistance, latency, cost, and failure modes.
- Integrate agents with APIs, databases, SaaS tools, enterprise systems, internal systems, and user-facing workflows.
- Improve reliability through structured outputs, guardrails, fallback paths, monitoring, permissions, auditability, and human-in-the-loop controls.
- Partner with product, design, and engineering teams to turn ambiguous user problems into shipped AI-native features.
- Make pragmatic model and infrastructure choices across proprietary models, open-source models, orchestration frameworks, vector databases, and cloud environments.
- Contribute to technical direction, engineering best practices, and the quality bar for agentic AI systems.
- Own the technical direction of agentic AI systems, provide support and coaching to the team.
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What We're Looking For
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- 10+ years of engineering experience, including 3+ years at staff/principal or equivalent scope, and 2+ years building production-grade agentic or LLM-powered systems used by real customers.