Principal Engineer, Agentic AI Systems

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.
• Able 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

• Robust medical, dental and vision options with employer contributions for HSA, FSA and DFSA
• 401k matching program
• Flexible Time Off, 10 paid holidays, 5 days sick leave
• Parental, Medical and Family care leave
• Generous cell-phone, wellness and office set up stipends
• Support of country-specific visa needs for international employees living in the Bay Area