AI Engineer

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 data center environments, thereby giving infrastructure owners and operators 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 a motivated AI/ML Engineer to design, build, and deploy intelligent systems that power Teserac's AI-native operational platform.

You will work across the full AI development lifecycle, from prototyping and integration to evaluation, observability, and production support. You will collaborate closely with the existing development team and cross-functional teams to deliver reliable, scalable AI-driven systems that directly impact mission-critical infrastructure.

This is not a research-only role. This is applied AI in production environments.

Why You Would Be a Good Fit for This Role

You will be a strong fit if:

You enjoy building production AI systems, not just prototypes

You care about evaluation, benchmarking, and system reliability

You think in systems, not just models

You are comfortable working across ambiguity in an early-stage environment

You like shipping quickly and iterating in real-world deployments

You are excited by infrastructure, not just consumer applications

What You Will Work On

Multi-agent orchestration systems

LLM-driven anomaly detection and triage workflows

Retrieval-augmented knowledge systems for operations

Predictive maintenance and health forecasting models

AI observability, evaluation, and performance benchmarking

Responsibilities

Design, develop, and maintain AI-powered applications and automation workflows

Integrate and optimize large language model 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

Contribute to AI architecture decisions and production hardening

Stay current with the rapidly evolving AI/ML landscape

Requirements

Required

Bachelor's degree or higher in Computer Science, Machine Learning, Mathematics, or related field

2+ year of professional experience in AI/ML

7+ years of software development experience

Strong proficiency in Python

Solid software engineering fundamentals (testing, version control, CI/CD)

Experience working with LLM APIs in applied contexts

Daily use of AI-assisted coding tools (Copilot, Cursor, Claude Code, etc.)

Strong analytical and communication skills

Adopting of AI-assisted workflows for personal and professional productivity

Preferred

Experience designing AI agent architectures

Familiarity with multi-agent systems

Experience with LangChain, LlamaIndex, or similar orchestration frameworks

Experience with vector databases and embedding pipelines

Exposure to ML training or fine-tuning

Experience in observability or monitoring systems

Background in data center infrastructure, DevOps, or distributed systems

Benefits

Health Care Plan (Medical, Dental & Vision)

Paid Time Off (Vacation, Sick & Public Holidays)

Free Food & Snacks

Stock Option Plan