

Staff Software AI Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Staff Software AI Engineer in Santa Clara, CA, on a 6+ month contract at $45-$55/hr. Requires 8-10 years of experience in development, AI systems design, and Go-To-Market domains, with skills in ServiceNow, AIA Studio, and machine learning.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
376
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ποΈ - Date discovered
June 13, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
On-site
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π - Contract type
W2 Contractor
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π - Security clearance
Unknown
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π - Location detailed
Santa Clara, CA
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π§ - Skills detailed
#Knowledge Graph #ML (Machine Learning) #Scala #Leadership #Automation #"ETL (Extract #Transform #Load)" #AI (Artificial Intelligence)
Role description
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We are currently hiring for an exciting opportunity with our client for the role of Staff Software AI Engineer in Santa Clara, CA - Onsite. I'd like you to please go through the job description for your reference. If you are interested, please apply here.
Job Title: Staff Software AI Engineer
Location: Santa Clara, CA - Onsite
Duration: Contract (6+ Months and Extendable)
Rate: $45/hr - $47/hr on W2 All Inclusive Danta Technologies payroll OR $55/hr on C2C - Corporation to Corporation All Inclusive
Summary
The client is looking for a Staff-Level AI Engineer (IC4 level, which typically means an experienced individual contributor just below principal level) who can bridge AI innovation with enterprise application development, specifically within Go-To-Market (GTM) domains like sales, marketing, and partner operations.
Job Description
Staff Software AI Engineer (IC4) with 8-10 years of development experience and a background in the Go-To-Market (GTM) domain. This role blends application development with cutting-edge AI capabilitiesyou'll work on the ServiceNow platform, leverage AIA Studio for low-code AI workflows, and build intelligent solutions using technologies like Agentic AI, Retrieval-Augmented Generation (RAG), and Knowledge Graphs (KGs). Your work will help transform how sales, marketing, and customer-facing teams operate.
Key Responsibilities
β’ ServiceNow Engineering: Develop scalable and maintainable applications and workflows within the ServiceNow platform, aligning with GTM use cases (e.g., sales enablement, lead management, partner ops).
β’ AIA Studio Development: Leverage AIA Studio to orchestrate AI workflows, integrate machine learning models, and streamline decision-making in GTM processes.
β’ AI System Design: Design AI-powered systems that use LLMs, Agentic AI, and semantic retrieval to deliver contextual insights and automation.
β’ RAG + KG Solutions: Build and maintain RAG pipelines enriched with Knowledge Graphs to surface relevant, real-time data to sales to help close the deal.
β’ Agentic Workflows: Implement AI agents capable of task planning and execution (e.g., lead routing, customer scoring, higher deal velocity).
β’ Cross-functional Collaboration: Work closely with Product, Business Operations to identify opportunities, design solutions, and deliver measurable impact.
β’ Scalability & Reliability: Build resilient, secure, and high-performance systems using industry best practices.
β’ Technical Leadership: Contribute to team success through mentorship, design discussions, and by setting high standards for code quality and innovation.
Notes:- All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Benefits: Danta offers a compensation package to all W2 employees that are competitive in the industry. It consists of competitive pay, the option to elect healthcare insurance (Dental, Medical, Vision), Major holidays and Paid sick leave as per state law.
The rate/ Salary range is dependent on numerous factors including Qualification, Experience and Location.