Teserac
AI Engineer
Santa Clara, California · Full-time · Posted Oct 6, 2026
- Experience
- Open to junior and senior candidates; no specific years required. Professional AI/ML engineering experience is preferred, at any level.
- Education
- Degree in Computer Science, Machine Learning, Mathematics, or a related field — or equivalent demonstrated experience.
About the job
Build and productionize AI systems for data center operations, including LLM workflows, telemetry modeling, retrieval, evaluation, and monitoring.
What you'll do
- Design and maintain AI-powered applications and automation workflows, integrating and optimizing LLM APIs.
- Build retrieval and knowledge pipelines, evaluation frameworks, and AI monitoring, tracing, and debugging capabilities.
- Contribute to AI architecture and production hardening, and translate relevant research into practical experiments.
What they ask for
- Degree in Computer Science, Machine Learning, Mathematics, or a related field — or equivalent demonstrated experience.
- Strong proficiency in Python and solid software engineering fundamentals, including testing, version control, and CI/CD.
- Experience with LLM APIs in applied contexts; familiarity with agentic concepts such as tool/function-calling and agent frameworks.
- Daily use of AI-assisted coding tools and ability to read ML research papers and translate ideas into experiments.
Nice to have
- Experience with agentic frameworks such as LangGraph or LangChain; MCP is a plus.
- Experience in time-series modeling, language-model fine-tuning, PyTorch or vLLM, ML pipelines, cloud ML platforms, or LLM evaluation.
Tools
Python, LLM APIs, Cursor, Copilot, Claude Code, LangGraph, LangChain, PyTorch
AI focus
Applied AI for data center operations: multi-agent LLM triage, time-series anomaly and failure prediction, retrieval-augmented knowledge systems, language-model fine-tuning, and AI evaluation and observability.
Model-written summary · the original posting is authoritative