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Founding AI/ML Engineer / Startup / $500k+ / NYC

Open Talent | New York, New York, United States | Yesterday
$500,000 – $500,000/yr| full-time | hybrid | senior | bachelor in Computer Science
skills: llms, rag, agentic systems, retrieval quality, latency bottlenecks, eval-driven fine-tuning, llm-based systems, llama, mistral, gpt-4, claude, hybrid search, bm25, vector search, reranking, caching, recall@k, precision@k, groundedness, hallucination metrics, fine-tuning, lora, qlora, rag architecture, langchain, llama_index, hugging face, weaviate, pinecone, fastapi, pytorch, redis, postgres, monitoring inference, eval automation, continuous improvement, iot, hardware integration, real-time systems, python, transformers, docker, kubernetes, genai
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Founding AI/ML Engineer / (LLMs / RAG / Agentic Systems) / 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
  • $500K base + equity

*All our new jobs are posted here 1st:

linkedin.com/in/sufyanbashir/

Benefits

equity · health insurance