Job Details:Job Description:About the roleWe are looking for a
Senior AI Software Engineer - Agentic AI System to help build the infrastructure, tooling, and integrations that power an end-to-end evaluation platform for agentic AI frameworks. This role spans deployment orchestration, data and observability, agent framework integration, and model serving and evaluation.
You will rotate across focus areas as needed, contributing where the team requires the most impact. The role emphasizes strong software engineering fundamentals, rapid learning, and curiosity about AI systems operating at scale.
Key Responsibilities:- Design and implement deployment and orchestration workflows for distributed AI systems
- Build data pipelines, observability tools, dashboards, and reporting systems
- Integrate and evaluate agent frameworks and LLM-based systems
- Develop tooling for model serving, benchmarking, and performance evaluation
- Collaborate across teams and with external framework engineers
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
Qualifications:You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Note:For information on Intel's immigration sponsorship guidelines, please seeIntel U.S. Immigration Sponsorship InformationMinimum Qualifications and Experience:
Bachelor's degree (B.S. or B.A.) in Computer Science, Electrical Engineering, Mathematics, Statistics, or related STEM field.
In addition, you must have 5+ years of experience in the following:
- Software Engineering experience
- Experience with one of the languages Python/C++/TypeScript/RUST/Go
- Containerized development with Docker, Linux, and command-line tooling
- Experience with REST APIs and HTTP-based integrations
- SQL (SQLite, PostgreSQL) for data querying
- Experience with one of the following: AI agents, LLMs, or modern AI infrastructure
Preferred Qualifications and Experience:
- Reading and navigating unfamiliar codebases quickly
- AI agents, LLMs, and modern AI infrastructure
- Experience with CI/CD systems (GitHub Actions, Jenkins, or similar)
- Experience with SSH, remote deployments, and multi-host orchestration
- Familiarity with data visualization tools (Chart.js, D3, Grafana)
- Experience with model serving tools (Ollama, llama.cpp, vLLM)
- Experience with prompt engineering and LLM API integrations (such as Anthropic etc.)
- Familiarity with messaging platform APIs (Telegram, Slack, Discord)
- Experience with infrastructure-as-code or configuration management (Ansible, Terraform)
- Experience with performance profiling (memory, CPU/GPU monitoring)
- Contributions to or experience with open-source agent frameworks
Job Type:Experienced Hire
Shift:Shift 1 (United States of America)
Primary Location:US, California, Santa Clara
Additional Locations:US, California, Folsom, US, Oregon, Hillsboro
BenefitsWe offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $149,750.00-275,580.00 USD
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
Work Model for this RoleThis role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.
