AI Engineer, Forward Deployed

🕒 3 days ago

🗽 New York – Remote

🗽 New York – Remote

💵 $160k - $195k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 0%

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Lunon

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2025

💼 Consulting

🤖 Artificial Intelligence

🤝 B2B

Consulting • Artificial Intelligence • B2B

Lunon is an AI-native consulting platform that delivers commercial diligence, market intelligence, and strategic advisory work for private equity firms, consulting teams, and enterprise strategy groups. It combines human oversight with specialized AI analyst teams to scope engagements, ingest and verify source materials, run investigations (market size, competition, pricing, risks), and produce board-ready outputs such as commercial due diligence (CDD), vendor diligence (VDD), market assessments, financial models, value-creation plans, technical assessments, and recurring intelligence updates. Lunon emphasizes rapid delivery (days not months), source-traceable verification, and ongoing monitoring, and is backed by investors including General Catalyst and SV Angel.

📋 Description

• 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

• 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

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