Santa Clara, CA

Salary
$143,200–$243,400from the description
Posted
Jul 15, 2026
Location
Santa Clara, CA
Last confirmed open
Jul 21, 2026

What this job asks for AI summary

A senior software engineering role focused on building and operating production-grade agentic AI systems — including multi-agent orchestration, retrieval-augmented generation, and tool-calling pipelines — within an enterprise software platform. The work spans backend architecture in Python, integration with frontier AI model providers, and UI development, alongside mentoring teammates and raising the bar on code quality and testing practices. Best suited to engineers with a proven track record shipping AI systems at production scale, not just prototypes.

Senior level · 5+ years · San Jose-Sunnyvale-Santa Clara, CA · Full-time

Must have (6)
Pythonagentic AI systemsOpenAI SDK, Anthropic Sdk or Google Ai Sdkprompt engineeringRAGvector stores
Nice to have (4)
Go, Java or C++LangChain or LlamaindexA2A or MCPAI observability

“or” means any one of them counts — you don't need all of them.

Posted 2 times — it's one opening, so apply once.

We read this from the posting text with AI. Skim the description below before ruling yourself out.

How this req sits in the market our data

Roughly 140 people in the San Jose-Sunnyvale-Santa Clara, CA area plausibly meet what this posting asks for (software developers). range 70–220

Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.

What gives you an edge
vector stores3%OpenAI SDK8%RAG8%

Rare in this occupation — lead with these, and say what you built with them.

What won't set you apart
Python51%

Most people in this occupation already list these. Still required — just not what gets you shortlisted.

What the occupation pays Median $217,796 (middle half $177,469–$231,052). This posting is about at that midpoint.

Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.

Why we read it this way (10)

The job title is simply unlabeled/generic (no seniority word in the title), but the requirements — 5+ years of software engineering, production agentic AI systems, architecture ownership, and mentoring — clearly support a Senior-level classification.

The degree requirement is effectively None: the JD explicitly accepts equivalent work experience in lieu of any degree, and the experience threshold varies (5 yrs + BS, 3 yrs + MS, or PhD with no experience).

Frontier AI SDK experience (Anthropic, Google, or OpenAI) is listed in the requirements section as a single interchangeable requirement; all three are captured as alternatives on one skill.

Systems language (Go, Java, or C++) is explicitly called 'a plus' in the requirements section — treated as preferred.

Agent frameworks (LangChain, LlamaIndex, or similar) and multi-agent coordination patterns (A2A, MCP) are listed in the requirements section but framed as 'familiarity with' — treated as preferred.

AI observability tooling (tracing, cost tracking, LLM-specific monitoring) is listed in the requirements section but framed as 'experience with' without firm gating language — treated as preferred.

Prior experience shipping AI systems in enterprise software is listed in the requirements section but framed as 'prior experience' without explicit must-have language — treated as preferred context rather than a discrete named-technology skill.

The compensation range ($143,200–$243,400/year) is stated as a base pay guideline for a specific (unspecified) office location; actual pay varies by work location. The posting mentions flexible/remote/in-office work personas but does not confirm fully remote eligibility, so remote is set to false.

ServiceNow's primary HQ is in Santa Clara, CA; the posting does not name a specific city, so the Santa Clara/San Jose CBSA is used as the best-fit metro.

Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): multi-agent orchestration.

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