AI Engineer

Standard Template Labs; New York (NY); On-site; USD 160,000 - 230,000; Full time

Benefits offered by this job

Competitive compensation

Equity

Benefits package

Supportive, collaborative team environment

Job summary

A stealth-mode AI startup in New York is looking for AI Engineers to design and deploy machine learning systems for their IT Service Management platform. The role involves hands-on engineering tasks such as developing models for ticket triage, incident prediction, and workflow automation. Ideal candidates will have a strong software engineering foundation, experience in various machine learning frameworks, and a background in AI/ML. The company offers competitive compensation, equity, and a collaborative office culture.

Qualifications

• Strong software engineering fundamentals are required.
• Experience with machine learning frameworks is essential.
• Comfortable in a fast-paced startup environment.

Responsibilities

• Research, prototype, and productionize machine learning models.
• Build scalable training and inference pipelines.
• Experiment with LLMs and retrieval-augmented generation.

Skills

Python

Machine Learning frameworks (PyTorch, TensorFlow)

Natural Language Processing (NLP)

Large Language Models (LLMs)

Information Retrieval

Time-series forecasting

MLOps practices

Education

Bachelor’s or Master’s in Computer Science, AI/ML, or related field

PhD in relevant field

Tools

PyTorch

TensorFlow

Job description

Standard Template Labs is a stealth-mode, AI-native startup reimagining the future of IT Service and Configuration Management. Backed by leading investors, we’re leveraging AI, graph-based architecture, and exceptional design to transform how enterprises manage and engage with their technology ecosystems.

About the Role

Our team is currently seeking AI Engineers that will design, build, and deploy machine learning systems that form the intelligence layer of our ITSM platform. You will work on problems such as natural language understanding of IT tickets, dynamic knowledge extraction, intelligent workflow automation, and predictive insights from complex IT infrastructure data. This is a hands‑on engineering role with the opportunity to define the AI foundation of a company from day one.

Responsibilities

• Research, prototype, and productionize machine learning models for ITSM use cases (ticket triage, incident prediction, workflow recommendations, CMDB inference).
• Build scalable training and inference pipelines that integrate seamlessly into the core platform.
• Experiment with LLMs, embeddings, and retrieval‑augmented generation (RAG) for IT knowledge and workflow automation.
• Partner with engineers and product managers to define AI‑first features that differentiate our platform.
• Evaluate performance, optimize models, and ensure reliability, scalability, and cost‑efficiency of AI systems.
• Stay current with advances in machine learning, LLMs, and AI infrastructure, and apply them pragmatically.

Qualifications

• Bachelor’s or Master’s in Computer Science, AI/ML, or related field; PhD is a plus.
• Strong software engineering fundamentals (Python preferred) and experience with ML frameworks such as PyTorch or TensorFlow.
• Experience with one or more of: natural language processing (NLP), large language models (LLMs), information retrieval, graph ML, or time‑series forecasting.
• Understanding of modern MLOps practices: model versioning, deployment, monitoring, and lifecycle management.
• Comfort working in a fast‑paced startup environment with end‑to‑end ownership.
• Bonus: experience applying AI in enterprise software or ITSM contexts.

What We Offer

• Build foundational product features for an AI‑first enterprise platform
• The opportunity to take ownership of critical systems that scale to millions of users
• A culture that values craftsmanship, autonomy, and technical excellence
• Competitive compensation, equity, and benefits package
• Work from our Flatiron District, Manhattan office, where you’ll be side‑by‑side with the founding team in a supportive, collaborative setting. Our team works on‑site five days a week, growing and building together, and the location is easy to reach with plenty of public transportation options.

As an equal opportunity employer, we don’t tolerate discrimination or harassment of any kind. Whether that’s based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws. The reasonably estimated yearly salary for this role at is: $160,000—$230,000 USD.