AI Engineer

Teserac, Inc. is building production AI for data center observability and power operations. In this onsite role in Santa Clara, CA, you will help take AI from pipeline and model integration through evaluation, deployment, and ongoing production support. The work blends LLM integration, agentic orchestration, and telemetry-driven modeling to deliver automation workflows for real operational teams.

What you’ll work on

• Multi-agent orchestration and LLM-driven triage workflows
• Time-series modeling for anomaly detection, failure prediction, and health forecasting on multivariate telemetry
• Retrieval-augmented knowledge systems for operations teams
• Data and ML pipelines including ingestion, ETL, and dataset construction
• Fine-tuning and post-training of language models for operational use cases
• AI observability, evaluation frameworks, and production performance benchmarking

Responsibilities

• Design, develop, and maintain AI-powered applications and automation workflows
• Integrate and optimize LLM APIs for production use cases
• Build and refine retrieval and knowledge-augmentation pipelines
• Develop evaluation frameworks to benchmark AI system performance
• Implement monitoring, tracing, and debugging capabilities for AI systems
• Read and synthesize relevant research, then bring ideas forward and debate them with the team
• Contribute to AI architecture decisions and production hardening
• Stay current with the rapidly evolving AI/ML landscape

Requirements

• Degree in Computer Science, Machine Learning, Mathematics, or a related field (or equivalent demonstrated experience)
• Strong proficiency in Python
• Solid software engineering fundamentals: testing, version control, CI/CD
• Experience working with LLM APIs in applied contexts
• Familiarity with agentic system concepts such as tool/function-calling and agent frameworks
• Daily use of AI-assisted coding tools (Cursor, Copilot, Claude Code, etc.)
• Ability to read ML research papers and translate ideas into practical experiments
• Strong analytical thinking and clear communication, including the ability to argue a position and update it when wrong

Technologies you may work with

Python, LLM APIs, Cursor, Copilot, Claude Code, LangGraph, LangChain, MCP, PyTorch, vLLM, GCP (Vertex AI), Niagara, BACnet, Modbus.

Preferred

• Professional AI/ML engineering experience (any level)
• Experience building agentic systems using frameworks such as LangGraph or LangChain; MCP a plus
• Time-series modeling: forecasting and anomaly or failure prediction on multivariate data
• Experience fine-tuning or post-training language models
• PyTorch and/or model serving frameworks (for example, vLLM)
• Experience building data and ML pipelines including ingestion and dataset construction
• Familiarity with cloud ML platforms, particularly GCP (Vertex AI)
• LLM evaluation and benchmarking, including harness design and eval loop development
• Domain experience with data center or industrial telemetry, BMS/OT protocols (Niagara, BACnet/Modbus)
• Background in DevOps, distributed systems, or observability tooling

Benefits

• Health Care Plan (Medical, Dental & Vision)
• Paid Time Off (Vacation, Sick & Public Holidays)
• Free Food & Snacks
• Stock Option Plan
• 401(k)

Work location: Santa Clara, CA (onsite).