Senior AI Engineer

Senior AI Engineer at Harnham Senior AI Engineer at Harnham in Union City, New Jersey Posted in 6 days ago.

Type:

full-time

Job Description:

Senior AI Engineer New York, NY

• 4 days onsite $250,000
• $275,000 + bonus; $400,000
• 500,000 total

THE COMPANY

Harnham is partnering with a niche PE firm in the NYC area, which is looking for an experienced AI / ML Engineer. This person will be at the forefront of building AI automation applications for new ways at identifying automation and optimization opportunities throughout the portfolio. You'll partner with executive teams across the company and own generative AI, LLM and reinforcement learning modeling and deployment.

RESPONSIBILITIES

Work closely with department heads to align on business goals, define machine learning challenges, and design effective ML solutions. Develop and deploy machine learning models, including building data pipelines, orchestrating ML workflows, and optimizing system performance and reliability. Maintain a robust codebase by writing well-tested code, covering both functional and non-functional aspects such as unit, integration, and load testing. Stay informed on industry trends and advancements in generative AI, LLMs, agentic AI, deep learning, experiment with new model concepts, and run both offline and online evaluations. Actively share knowledge through internal presentations, tech talks, and by promoting best practices in engineering and technology use.

SKILLS AND EXPERIENCE BS/MS

degree in Computer Science, Machine Learning or a related field. Over 4 years of hands-on experience developing and deploying production-ready machine learning / deep learning / AI systems, covering the full model lifecycle-training, tuning, deployment, serving, and monitoring. Background in Software Engineering required. Enterprise-level application experience, ideally in real-time preferred. Expertise in cloud infrastructure, machine learning orchestration tools like Kubeflow, TensorFlow, and the use of Feature Stores in live environments. Experience as a tech-lead for scaling MLE teams preferred. Commercial experience in smaller teams, scaling startups / scrappy environments a plus.

BENEFITS

The compensation package contains a base salary, bonus and a comprehensive benefits package.

HOW TO APPLY

Please register your interest by sending your CV via the Apply link on this page.

KEY TERMS

Artificial Intelligence | Generative AI | GenAI | Machine Learning | ML Engineer | Engineering | Deployment | Production | Real Time | Enterprise | Statistics | Mathematics | Private Equity | PE | Portfolio | Anomaly Detection | Fintech | Agentic AI | AI Agents | Software Engineering | Software Engineer