Principal Engineer, Agentic AI Systems

Inflection AI

$400K — $500K+*
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years of engineering experience, with 3+ years in a senior role and 2+ years in production-grade agentic or LLM-powered systems.
  • Proficiency in Python or TypeScript.
  • Experience in building AI agents or LLM-powered products, including automation workflows.
  • Solid backend engineering fundamentals including APIs, databases, and cloud infrastructure.
  • Familiarity with tool/function calling and model evaluation techniques.
  • Strong product judgment with ability to quickly turn ambiguous problems into shipped products.
  • Bachelor's degree or equivalent in a related field.

Responsibilities

  • Build production AI agents capable of complex task execution and recovery from failures.
  • Design scalable agent architectures focusing on task decomposition and safe execution.
  • Create evaluation and observability systems to ensure task success and tool-call accuracy.
  • Integrate AI agents with various APIs and enterprise systems for seamless workflows.
  • Improve reliability through structured outputs and monitoring systems.
  • Collaborate with product and engineering teams to develop AI-native features.
  • Make informed model and infrastructure choices for optimal agent performance.
  • Provide technical direction and mentorship to team members.

Benefits

  • Diverse medical, dental, and vision insurance options.
  • 401k matching program.
  • Unlimited paid time off.
  • Flexible parental leave for all parents and caregivers.
  • Support for country-specific visa needs for international employees in the Bay Area.
Full Job Description
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.
What We're Looking For
  • 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.
  • Strong Python or TypeScript experience.
  • Experience building LLM-powered products, AI agents, RAG systems, automation workflows, or model-integrated applications.
  • Strong backend engineering fundamentals, including APIs, databases, queues, testing, observability, cloud infrastructure, and deployment.
  • Experience with tool/function calling, structured outputs, embeddings, retrieval, prompt design, and model evaluation.
  • Strong product judgment and ability to move from ambiguous problem to shipped product quickly.
  • Ability to work effectively in a fast-moving environment with ownership, collaboration, and high technical standards.
  • Have a bachelor's degree or equivalent in a related field to the offered position requirements
Nice to Have
  • Experience with LangGraph, LlamaIndex, OpenAI, Anthropic, Hugging Face, vLLM, or similar tools.
  • Experience with agent memory, planning, multi-agent systems, browser automation, workflow automation, or AI copilots.
  • Experience building eval pipelines, synthetic test cases, observability, guardrails, or AI safety systems.
  • Experience with enterprise SaaS, productivity tools, developer tools, CRM, support, sales, finance, legal, or operations workflows.
  • Experience working in early-stage, high-growth, or zero-to-one product environments
Employee Pay Disclosures

At Inflection AI, we aim to attract and retain the best employees and compensate them in a way that appropriately and fairly values their individual contributions to the company. For this role, Inflection AI estimates a starting annual base salary to fall within the range of $400,000.00 to $550,000.00, depending on a candidate's qualifications and level of experience. This role also includes a meaningful equity component, allowing employees to share in the long-term success of the company.

Benefits

Inflection AI values and supports our team's mental and physical health. We are focused on building a positive, safe, inclusive and inspiring place to work. Our benefits include:
  • Diverse medical, dental and vision options
  • 401k matching program
  • Unlimited paid time off
  • Parental leave and flexibility for all parents and caregivers
  • Support of country-specific visa needs for international employees living in the Bay Area

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