Jobs / Int***
AI Software Engineer – Agentic AI System
Int*** · Santa Clara, CA, United States
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Santa Clara, CA, United States133,410-240,710 USD/yearlyHybrid
Remuneration
133,410-240,710 USD/yearly
Location
Santa Clara, CA, United States
Visa sponsorship
Sponsors visa
Job summary
JOB DETAILS: JOB DESCRIPTION: As an AI Software Engineer – Agentic AI System you will contribute to building infrastructure and tooling that supports an end‑to‑end evaluation ecosystem for agentic AI frameworks. This role is ideal for engineers who are eager to grow their skills across deployment, data, and AI systems while working closely with experienced engineers.
Benefits
Employees and their families through every stage of life.See IntelFor more detailsWe offer a total compensation package that ranks among the best in the industry.It consists of competitive pay, stock bonuses, and benefit programs which includFind out more about theOf working at Intel .Annual Salary Range for jobs which could be performed in the US: $133,410.00-240The range displayed on this job posting reflects the minimum and maximum targetWithin the range, individual pay is determined by work location and additional f
Qualifications
- You must possess the below minimum
- to be initially considered for this position.
- Preferred
- are in addition to the minimum
- and are considered a plus factor in identifying top candidates.
- For information on Intel’s immigration sponsorship guidelines, please see
- Intel U.
- Immigration Sponsorship Information
- Minimum
- and Experience :
- Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or a STEM related with 3+ years of experience.
- Or a Masters in the same field with 6+ month of educational or work experience.
Responsibilities
- As an AI Software Engineer – Agentic AI System you will contribute to building infrastructure and tooling that supports an end‑to‑end evaluation ecosystem for agentic AI frameworks.
- Build and maintain scalable deployment and orchestration systems for AI workloads
- Develop data pipelines, dashboards, and observability tooling
- Integrate and evaluate AI agent frameworks and model‑serving systems
- Design and automate evaluation pipelines for performance, reliability, and regression detection
- Collaborate with global engineering teams to improve AI evaluation tooling
- What Success Looks Like
- Quickly ramping up across different focus areas and contributing independently
- Reliable deployment and evaluation of AI agent frameworks
- Clear, actionable dashboards and reports for stakeholders
- Stable, well‑tested, and automated evaluation pipelines
- Effective collaboration with internal and external engineering partners
Certifications
GitHub Actions
Degrees
AssociateBachelorDegreeMaster
Industry
AutomotiveDefenseEducationMedia
Company size
Smb