AI Engineer, Forward Deployed

Lunon

. Choose the appropriate model for each job, including frontier APIs and open-weight models .

Posted 10/26/2026full-timeRemote • New York • United StatesMid-LevelSenior💰 $160,000 - $195,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in fine-tuning AI models and optimizing their performance for production environments, with a strong focus on delivering business value through AI-native solutions. Collaborates effectively with cross-functional teams to identify and implement high-impact AI opportunities.

Highest-signal resume keywords

Fine-Tuning ModelsBuilding EvaluationsShipping LLM FeaturesServing Models in ProductionAI Coding Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Fine-TuningSupervised Fine-TuningPreference OptimizationParameter-Efficient MethodsModel EvaluationInference OptimizationLatency ManagementQuality MeasurementModel ServingAI-Native Solutions

Soft Skills

CollaborationDecision-MakingClient Engagement

Tools & Technologies

Frontier APIsOpen-Weight ModelsEvaluation HarnessesBenchmarks

Industry Keywords

AI OpportunitiesERPProduction EnvironmentBusiness Value

Tech Stack

Tools & technologies

ERP

About the role

Key responsibilities & impact

Choose the appropriate model for each job, including frontier APIs and open-weight models
Determine when fine-tuning is preferable to prompt improvement
Fine-tune models using supervised fine-tuning, preference optimization, and parameter-efficient methods such as LoRA
Build evaluation harnesses and benchmarks to measure model improvements
Move models from training to serving
Optimize inference cost, latency, and quality
Work directly with client teams to identify high-impact AI opportunities
Decline work that is unlikely to generate business value
Help an ERP company make its product AI-native
Collaborate with a Forward Deployed Data Engineer who owns the data side of engagements

Requirements

What you’ll need

Experience fine-tuning or post-training a model and explaining what worked and what did not
Experience building evaluations that changed a decision
Experience shipping LLM features used by real users
Experience serving a model in production and managing cost and latency
Daily use of AI coding tools, with evaluation based on system and output quality
US-based residence
Ability to work in the US; visa sponsorship requirement is assessed in the application