Open Talent
Senior AI Engineer - (LLMs / RAG / Agentic Systems) - Aerospace - NYC - $350k+
Open Talent, New York, New York, us, 10261
Senior AI Engineer - (LLMs / RAG / Agentic Systems) - Aerospace - NYC - $350k+ Equity
$200,000.00/yr - $400,000.00/yr
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.
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
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
Prior experience in high-performance teams (0-1, startups)
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:
LLM-based systems, RAG architecture, LangChain / LlamaIndex, evaluation pipelines, fine-tuning, caching, hybrid search, vector embeddings, real-time inference.
Offer:
Up to $350,000+ base salary + equity
On-site 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
We're hiring for an Equal Opportunity Employer.
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
$350K+ base + equity –
on-site
at a
VC-backed aerospace startup
in NYC
#J-18808-Ljbffr
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.
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
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
Prior experience in high-performance teams (0-1, startups)
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:
LLM-based systems, RAG architecture, LangChain / LlamaIndex, evaluation pipelines, fine-tuning, caching, hybrid search, vector embeddings, real-time inference.
Offer:
Up to $350,000+ base salary + equity
On-site 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
We're hiring for an Equal Opportunity Employer.
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
$350K+ base + equity –
on-site
at a
VC-backed aerospace startup
in NYC
#J-18808-Ljbffr