Senior AI Software Engineer – Agentic AI System
Intel Corporation•Santa Clara, CA
•$149,750 - $275,580•Hybrid
About The Position
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.
Requirements
- Bachelor's degree (B.S. or B.A.) in Computer Science, Electrical Engineering, Mathematics, Statistics, or related STEM field.
- 5+ years of experience in Software Engineering
- 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
Nice To Haves
- 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
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
Benefits
- competitive pay
- stock bonuses
- health
- retirement
- vacation
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What This Job Offers
Job Type
Full-time
Career Level
Senior
