AI role · Open offer

AI Developer — enterprise workflow agents

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ServiceNow

Full-time
Senior
Now Assist
Hybrid
2225 Lawson Lane, Santa Clara, CA 95054, United States · Hybrid
Santa Clara, United States
USD 155k–195k/year + equity

This listing is optimized for AI-native talent: clear skills and tools so candidates know if they fit before they apply—and so you spend less time screening mismatches.

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At a glance

How you'll work, where, and key listing dates.

Employment: Full-time
Workplace: Hybrid
Location: 2225 Lawson Lane, Santa Clara, CA 95054, United States · Hybrid
Compensation: USD 155k–195k/year + equity
Experience level: Senior
Team: Now Assist
Benefits & perks

About this role

What the team is looking for and how this position fits.

ServiceNow is hiring a Senior AI Developer — enterprise workflow agents on the Now Assist team (Hybrid · Santa Clara, United States). This is a hands-on role in LLM & generative AI—not a generic “AI enthusiast” post.

You will own LLM features, retrieval, agents, and evaluation end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.

ServiceNow Now Assist brings agents and copilots to IT and HR workflows. AI Developer implements retrieval, tool-use, and guardrails for enterprise tenants.

Hybrid Santa Clara: multi-tenant isolation and audit trails are mandatory.

What you will do

Ship RAG plugins and workflow automations on Now Platform.
Build eval harnesses per customer vertical before GA.
Monitor cost and hallucination rates in production.

Stack & environment

Python, LangChain, vector DBs, Docker/Kubernetes.
Hybrid South Bay.

What we look for

4+ years backend or ML with LLM features in prod.

Skills we're hiring for

What each capability means for this role—not a keyword checklist.

Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
LangChain
Orchestrating LLM chains, tools, and retrieval with observable steps and failure handling.
OpenAI API

Tools & stack

Platforms and products mentioned for this role (APIs, IDEs, vector DBs, CRMs, design tools, etc.).

Vector DBsTool
Embedding storage, hybrid search, and freshness strategies for RAG and semantic retrieval.
DockerTool
Containerized services and reproducible dev environments for ML and LLM workloads.

You're a strong fit if…

Tailored to this listing—use it as a self-check before you apply.

You can show evidence in your application: Agent or RAG workflow shipped to enterprise ITSM customers.
Several of these show up in recent shipped work—not only on your CV: Python, LangChain, OpenAI API, Vector DBs, and Docker.
You have owned LLM features, retrieval, agents, and evaluation in production: debugging live issues, running postmortems, and iterating from real user or business signals.
You are comfortable with the hybrid rhythm (Hybrid · Santa Clara, United States)—onsite collaboration when it matters, deep work when remote.
You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords.

Apply

Candidate accounts only: add your headline and bio on , and optionally a CV link or PDF so recruiters see your full résumé. Then write a short pitch below—applications use your login email.

What the employer asked for

Agent or RAG workflow shipped to enterprise ITSM customers.

Register, add a headline and bio, then you can attach a CV link or PDF on My account before you apply. That keeps applications tied to your profile and makes it easier for employers to review your background.

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