Senior AI Software Engineer – Agentic AI System
Intel3 Locations$171k – $241kPosted 16 April 2026
Tech Stack
Job Description
Job Details:
Job Description:
About the role
We 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
Intel invests in our people and offers a complete and competitive package of benefits employees and their families through every stage of life.
See Intel Benefits for more details.
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 see
Intel U.S. Immigration Sponsorship Information
Minimum 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
Take the next step in your career journey by applying today, and become part of Intel's mission to shape the future of technology through innovation, collaboration, and excellence.
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
Business group:
The Client Computing Group (CCG) is responsible for driving business strategy and product development for Intel's PC products and platforms, spanning form factors such as notebooks, desktops, 2 in 1s, all in ones. Working with our partners across the industry, we intend to deliver purposeful computing experiences ... (truncated, view full listing at source)
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