AI​/ML Engineer​/Defence​/NYC

Overview

Senior AI/ML Engineer – (LLMs / RAG / Agentic Systems) – Aerospace – NYC – $500k+ Equity

We’re hiring for a world class team at one of the fastest growing & most innovative next-gen aerospace AI companies in North America. They’re building LLMs, RAG & high-performance AI systems to power mission-critical operations in defence & space.

Only the top 0.1% of America’s AI Engineers can do this. If you’ve built real mission critical LLM systems that can’t fail – this could be your next move.

You’ll own & scale a RAG-driven AI system powering critical aerospace operations. Expect to tackle retrieval quality, latency bottlenecks, & eval-driven fine-tuning head-on for the most innovative & exciting real-time systems in Aerospace today. This is full production ownership – from architecture to metrics.

• Deploying LLM-based systems at scale (Llama, Mistral, GPT-4, Claude)
• Retrieval optimisation – hybrid search (BM25 + vector), reranking, caching
• Evaluation – recall@k, precision@k, groundedness, hallucination metrics
• Fine-tuning (LoRA/QLoRA), RAG architecture, Lang Chain / Llama Index
• Tooling: Hugging Face, Weaviate/Pinecone, FastAPI, PyTorch, Redis, Postgres
• Monitoring inference, eval automation, & continuous improvement loops

• IoT or Hardware integration or real-time systems experience exp.

• CS or Applied ML degree from a top-tier university
• Proven 0-1 experience in a fast-moving AI startup, or Defence related company
• You’ve shipped reliable GenAI systems under pressure
• Degree in Computer Science from a top-tier university
• Prior experience in high-performance teams (0-1, startups)
• You’ve shipped real systems – not demos

• Own the LLM pipeline end-to-end — retrieval → evaluation → fine-tuning
• Improve accuracy, grounding, and eval metrics continuously
• Make architecture decisions for scale, reliability & speed
• Collaborate directly with founders & domain experts

Python / PyTorch / Lang Chain / Transformers / FastAPI / Hugging Face / Weaviate / Redis / Postgres / Docker / Kubernetes

• Up to $500,000+ base salary + equity
• Hybrid in NYC
• Tight-knit, high-output team
• High ownership, real impact, flat structure

We’re hiring for an Equal Opportunity Employer.

If you’ve shipped real GenAI systems, thrive under pressure, and want to see your models power live aerospace systems – this is where theory meets orbit.

• Build & scale production-grade GenAI systems from 0 to 1
• Own and improve RAG pipelines – accuracy and latency matter
• Deep experience with LLMs, Lang Chain, Hugging Face & real deployments
• Must have shipped working GenAI products
  , not just prototypes
• Ideal: startup DNA, top-tier CS degree, fast execution mindset
• $350K+ base + equity –
  on-site at a VC-backed aerospace startup in NYC

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