Six Figure Work

Staff Engineer, Agentic

Inflection AI

Company websiteinflection.ai (Inflection AI, opens in new tab)

Base salary $350K  to $500K

Employer-published annual base salary, USD. Advertised base range in Palo Alto, CA

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  • LocationPalo Alto, CA
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (3 h ago) · observed since

About this job

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

As a Staff Engineer, Agentic at Inflection, you will own the platforms, systems, and services that bring our conversational AI to life at scale. You’ll collaborate across research, product, and infrastructure teams to enable rapid iteration, high reliability, and secure delivery of novel AI features to millions of users. Your work will directly impact both the pace of product development and the stability of our production systems.

What you’ll do

  • Design and build backend systems that power agentic workflows in production: orchestration, memory, retrieval, and tool integrations.
  • Operate high-availability inference and conversation pipelines, optimizing for latency, cost, and quality.
  • Build internal platform pieces service templates, CI/CD, observability, evaluation harnesses, and rollout tooling that compound engineering velocity.
  • Partner with applied researchers and frontend engineers to design and iterate on user-facing features
  •  Drive features from prototype to production with measurable user impact, ensuring reliability and performance at scale

Must-haves

  • 10-15 years of backend engineering experience shipping production systems in cloud environments.
  • Demonstrated experience building, shipping, and operating agentic AI systems in production environments with real user impact not just prototypes.
  • Strong production experience with Python, Postgres, Redis, and at least one major cloud (AWS, GCP, or Azure), including containers and Kubernetes.
  • Practical experience with LLM application patterns: RAG, tool use, evaluation loops, and the latency/cost/quality tradeoffs that come with them.
  • Strong sense of ownership, with the ability to independently drive systems to production and operate them reliably
  • Have a bachelor’s degree or equivalent in a related field to the offered position requirements

Nice-to-haves

  • Experience with agent orchestration frameworks (LangGraph, LlamaIndex, OpenAI/Anthropic Agent SDKs, or equivalent in-house systems) and evaluation tooling (LangSmith, Braintrust, or similar).
  • Background in streaming, queueing, or vector data infrastructure at scale.
  • Past on-call ownership of customer-facing services with strict SLOs.
  • Contributions to open-source agent or LLM tooling.

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 $350,000 to $500,000 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, emotional, financial and physical health. We are focused on building a positive, safe, inclusive and inspiring place to work. Our benefits include: 

  • 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

Source: Inflection AI on Greenhouse · View original posting (opens in new tab)

This range next to 3 other live Inflection AI roles with the nearest advertised base floor
Chart as a table
This range next to 3 other live Inflection AI roles with the nearest advertised base floor
RolePublished base
Staff Engineer, Agentic (this listing)$350K - $500K
Principal Research Engineer, Model Training & Post-Training$400K - $550K
Principal Research & Engineering, Realtime Voice AI$400K - $550K
Principal Engineer, Agentic AI Systems$400K - $550K

Same $100K to $400K scale as every card. All Inflection AI roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-05-12
Where this pay comes from

Location as the employer wrote it: Palo Alto, California, United States

d 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 $350,000 to $500,000 depending on a candidate’s qualifications and level of expe

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
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The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.