Job Description
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.
The Role
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.
You should have experience with:
• 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, LangChain / LlamaIndex
• Tooling: Hugging Face, Weaviate/Pinecone, FastAPI, PyTorch, Redis, Postgres
• Monitoring inference, eval automation, & continuous improvement loops
Bonus:
• IoT or Hardware integration or real-time systems experience exp.
Ideal background:
• 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
You’ll be expected to:
• 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
Stack:
Python / PyTorch / LangChain / Transformers / FastAPI / Hugging Face / Weaviate / Redis / Postgres / Docker / Kubernetes
Offer:
• Up to $500,000+ base salary + equity
• Hybrid in NYC
• Tight-knit, high-output team
• High ownership, real impact, flat structure
Interview Process:
1) Technical Deep Dive
2) Technical Assessment or Live Pairing
3) Panel focused on mindset & team fit
Equal Opportunity
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.
TL;DR - Senior AI Engineer (NYC, On-site)
• Build & scale production-grade GenAI systems from 0 to 1
• Own and improve RAG pipelines - accuracy and latency matter
• Deep experience with LLMs, LangChain, 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
• All our new jobs are posted here 1st:
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.
The Role
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.
You should have experience with:
• 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, LangChain / LlamaIndex
• Tooling: Hugging Face, Weaviate/Pinecone, FastAPI, PyTorch, Redis, Postgres
• Monitoring inference, eval automation, & continuous improvement loops
Bonus:
• IoT or Hardware integration or real-time systems experience exp.
Ideal background:
• 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
You’ll be expected to:
• 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
Stack:
Python / PyTorch / LangChain / Transformers / FastAPI / Hugging Face / Weaviate / Redis / Postgres / Docker / Kubernetes
Offer:
• Up to $500,000+ base salary + equity
• Hybrid in NYC
• Tight-knit, high-output team
• High ownership, real impact, flat structure
Interview Process:
1) Technical Deep Dive
2) Technical Assessment or Live Pairing
3) Panel focused on mindset & team fit
Equal Opportunity
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.
TL;DR - Senior AI Engineer (NYC, On-site)
• Build & scale production-grade GenAI systems from 0 to 1
• Own and improve RAG pipelines - accuracy and latency matter
• Deep experience with LLMs, LangChain, 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
• All our new jobs are posted here 1st:
💡 Quick Summary
Seeking a career-building opportunity? The AI/ML Engineer / Defence / $500k+ / NYC position is now open for candidates interested in the Finance sector. This role in New York City offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Finance is a plus.