AI Engineer, Forward Deployed

This is a fully remote position, open to applicants in New York.

📋 Description

• Select the most suitable model for each task, which includes utilizing frontier APIs and open-weight models.

• Assess when fine-tuning is a better option compared to enhancing prompts.

• Fine-tune models through methods such as supervised fine-tuning, preference optimization, and parameter-efficient techniques like LoRA.

• Develop evaluation frameworks and benchmarks to assess model enhancements.

• Transition models from the training phase to deployment.

• Optimize the cost, latency, and quality of inference.

• Collaborate directly with client teams to discover impactful AI opportunities.

• Politely decline projects that are unlikely to produce business value.

• Assist an ERP company in making its product AI-native.

• Partner with a Forward Deployed Data Engineer responsible for the data aspects of projects.

⛳️ Requirements

• Proven experience in fine-tuning or post-training a model, along with the ability to articulate successes and failures.

• Demonstrated experience in building evaluations that influenced decision-making.

• Background in delivering LLM features utilized by actual users.

• Experience in deploying a model in a production environment while managing costs and latency.

• Regular use of AI coding tools, with assessments based on system performance and output quality.

• Residency in the United States.

• Eligibility to work in the US; visa sponsorship requirements will be evaluated during the application process.

🏝️ Benefits

• Comprehensive benefits package.

• Opportunities for professional development and growth.

• Flexible working hours and remote work options.