AI Engineer

Teserac, Inc. • Sunnyvale, CA

2d

About The Position

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.

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 — 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

Nice To Haves

• 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

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

Benefits

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

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: High school or GED