AI Engineer

Teserac, Inc.; Santa Clara (CA); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Health Care Plan (Medical, Dental &amp

Paid Time Off (Vacation, Sick &

Free Food & Snacks

Stock Option Plan

401(k)

Job summary

Teserac, Inc. is seeking an AI/ML Engineer to build production AI systems for data center observability and power operations. You will own the full lifecycle from pipelines to evaluation, orchestration, and ongoing production support.

Responsibilities include designing AI-powered applications, integrating LLM APIs, and developing retrieval-augmented knowledge systems. Strong Python and software engineering fundamentals are essential, with experience in LLM tooling and cloud ML platforms.

Qualifications

• 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.

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, 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

Skills

Python

LLM APIs

Cursor

Copilot

Claude Code

LangGraph

LangChain

MCP

PyTorch

vLLM

GCP Vertex AI

Niagara

BACnet

Modbus

Education

Degree in Computer Science, Machine Learning, Mathematics, or a related field, or equivalent demonstrated experience

Tools

GCP Vertex AI

PyTorch

Modbus

BACnet

Job description

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.

Key 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, 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

What You Will 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

Required Qualifications

• 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

Technologies

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

Preferred Experience

• Professional AI/ML engineering experience (any level)
• Experience building agentic systems using frameworks such as LangGraph or LangChain; 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 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)

Location

Santa Clara, CA (onsite)