AI Engineer

Teserac, Inc. is seeking an AI/ML Engineer to build production AI systems for data center observability and power operations. The role covers the full AI lifecycle, from pipelines and LLM integration to evaluation, orchestration, and ongoing production support.

• 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, bringing ideas forward and debating them with the team
• Contribute to AI architecture decisions and production hardening
• Stay current with the rapidly evolving AI/ML landscape

• 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

• Degree in Computer Science, Machine Learning, Mathematics, or a related field, or equivalent demonstrated experience
• Strong proficiency in Python
• Solid software engineering fundamentals, including testing, version control, and 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

Python
, LLM APIs
, Cursor
, Copilot
, Claude Code
, Lang Graph
, Lang Chain
, MCP
, Py Torch ,
vLLM
, GCP (Vertex AI),
Niagara
, BACnet
, Modbus
.

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

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

Santa Clara, CA (onsite)