Inflection AI

4 weeks ago

Principal Engineer, Agentic AI Systems

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Hands-on Principal Engineer to lead the architecture and technical direction of Inflection's agentic AI systems. Build production AI agents, design architectures for task decomposition and safe execution, and create evals/observability. Integrate agents with APIs, databases, and SaaS tools; drive reliability, guardrails, and human-in-the-loop controls while mentoring engineers and shaping technical standards.

Location: Palo Alto

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•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.

Pay and Benefits

Salary: USD 400,000 - 550,000 annually

Equity and Bonus:Equity

Perks:MedicalDentalVision401k MatchingPaid LeaveParental LeaveVisa Support

Key Requirements

•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.

Experience:AILLMAgenticProduction

Education:Bachelor's

Skills:OwnershipCollaborationMentoringProblem-solving

Languages:English

Tech Stack:PythonTypeScriptAPIsDatabasesQueuesCloudVector databasesLangGraphLlamaIndexOpenAIAnthropicHugging FaceVLLM

Company Brief

Inflection AI

Develops conversational AI and personal-assistant technologies, including the Pi chatbot, to enable more natural human–computer interaction and simplify access to information and productivity tools.

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Early Stage Startup

Headquarters: Palo Alto, United States

Founded: 2022

Website LinkedIn

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Inflection AI

4 weeks ago

Principal Engineer, Agentic AI Systems

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Palo Alto

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•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.

Pay and Benefits

Salary: USD 400,000 - 550,000 annually

Equity and Bonus:Equity

Perks:MedicalDentalVision401k MatchingPaid LeaveParental LeaveVisa Support

Key Requirements

•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.

Experience:AILLMAgenticProduction

Education:Bachelor's

Skills:OwnershipCollaborationMentoringProblem-solving

Languages:English

Tech Stack:PythonTypeScriptAPIsDatabasesQueuesCloudVector databasesLangGraphLlamaIndexOpenAIAnthropicHugging FaceVLLM

Company Brief

Inflection AI

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Early Stage Startup

Headquarters: Palo Alto, United States

Founded: 2022

Website LinkedIn