AI/ML Engineer

Clutch; New York (NY); On-site; USD 150,000 - 200,000; Full time

Job summary

Clutch is seeking an AI/ML Software Engineer to design, optimize, and deploy ML infrastructure and LLM workflows in a fast-paced startup environment. The role is based in New York, NY on-site, with a salary range of $150k–$200k depending on experience and DOE.

You will build pipelines for automated data labeling, model deployment, and analytical data processing, while partnering with leadership to define technical architecture and standards.

Qualifications

• 5+ years of production software engineering experience with leadership in technical decision-making.
• Proven track record of shipping and scaling LLM solutions, models, and AI infrastructure.
• Strong instinct for model interpretability, evaluation metrics, and debugging AI systems.
• Experience thriving in fast-paced start-up environments.
• Excellent communication skills and high standards for technical quality.

Responsibilities

• Design, optimize, and deploy ML infrastructure and LLM workflows.
• Establish automated evaluation frameworks to benchmark model performance and bias.
• Build pipelines for data labeling, model deployment, and analytics processing.
• Debug model behaviors to ensure trust in mission-critical apps.
• Collaborate with company leaders to shape architecture and engineering standards.

Skills

Production software engineering

LLM solutions

Model interpretability

Startup environments

Communication skills

Job description

Role: AI/ML Software Engineer Location: New York, NY (onsite) Salary: $150-200k DOE (w2) Clutch Creative is a rapidly growing staffing agency. We support our clients by identifying unreachable talent that helps their businesses grow.

Our candidates work with us because they know we have the best opportunities available to them and will help them navigate their next career move.

We care, we’re honest, and we hustle—that’s what makes us Clutch.

Clutch is looking for an AI/ML Engineer for a start-up client of ours.

Responsibilities

• Design, optimize, and deploy production of ML infrastructure, vector search engines, and LLM workflows.
• Establish rigorous automated evaluation frameworks to benchmark model performance, bias, and output accuracy.
• Build pipelines for automated data labeling, model deployment, and analytical data processing.
• Debug model behaviors to guarantee trust in mission-critical applications.
• Partner directly with company leaders to shape technical architecture, product direction, and engineering standards.

Requirements

• 5+ years of production software engineering experience with demonstrated leadership in technical decision-making.
• Proven track record of shipping and scaling LLM solutions, models, and AI infrastructure.
• Strong instinct for model interpretability, evaluation metrics, and debugging AI systems.
• Comfort operating in fast-paced, start-up environments.
• Exceptional communication skills and high standards for technical quality and execution.

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