# AI Engineer

> Teserac, Inc. · Sunnyvale, United States · Full-time · Posted 2026-07-02

**Workplace:** on_site

## Description

**About the Role** 

Teserac is building neuron™, a unified AI-native platform for data center observability, intelligence, and workflow automation. neuron™ processes real-time telemetry from thousands of sensors, meters, and control systems across heterogeneous environments — giving infrastructure owners the visibility to monitor, analyze, automate, and proactively manage power operations with full situational awareness. An embedded AI teammate serves as every operator's always-on co-pilot: detecting anomalies, correlating events, and surfacing recommendations 24/7.

We are seeking an AI/ML Engineer who is excited to build intelligent systems at the intersection of applied AI and critical infrastructure. You will work across the full AI development lifecycle — from data pipelines and model integration to agentic orchestration, evaluation, and production support — collaborating closely with a small, fast-moving engineering team.

**This is not a research-only role, but research thinking matters here.** You will be expected to read papers, stay ahead of the field, and bring ideas to the table — then build them into production systems.

**Who We Are Looking For**

We care more about how you think than how many years are on your resume. This role is open to both junior and senior candidates. What matters is:

-   You are genuinely excited about AI and infrastructure — not just one of them
-   You learn fast, go deep, and can hold your own in a technical debate
-   You have the engineering fundamentals to ship reliable systems
-   You are proactive, curious, and comfortable with a steep learning curve
-   You want to work on something technically hard that actually matters in the physical world

If you are early in your career but have strong fundamentals, a track record of self-directed learning, and a portfolio that shows you build things — we want to hear from you.

**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 — 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; 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

**Required** 

-   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 — tool/function-calling, 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 — you can argue a position and update it when wrong

**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/failure prediction on multivariate data
-   Experience fine-tuning or post-training language models
-   PyTorch and/or model serving frameworks (e.g., vLLM)
-   Experience building data and ML pipelines — ingestion, ETL, dataset construction
-   Familiarity with cloud ML platforms, particularly GCP (Vertex AI)
-   LLM evaluation and benchmarking: 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)

## Apply

[Apply at Teserac, Inc.](https://apply.workable.com/teserac-inc/j/6DB18627C3/apply)

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