Job Description

About this role:

As an

AI Engineer on the founding team

, you won't just write code--you'll architect, experiment, and build AI systems that power the future of software interoperability. You'll work directly with the founders, take ownership of major technical decisions, and help define the trajectory of our product and platform. We move fast. We build a lot. And we have fun while doing it.

Here's what you'll do:

Implement

retrieval-augmented generation (RAG)

pipelines to integrate LLMs with real-time data and context. Apply advanced techniques in

prompt engineering

,

transfer learning

, and custom model training. Optimize model performance and cost across production environments. Work with tools like

Hugging Face, LangChain, OpenAI APIs

, and

vector databases

(FAISS, Pinecone, Weaviate). Deploy scalable models using cloud platforms like

AWS, GCP

, or

Azure

, and containerization tools like

Docker

and

Kubernetes

. Collaborate with global teams and researchers in a fast-paced, remote-first setup.

Must-haves:

4+ years of experience in AI/ML with deep exposure to

Generative AI

, LLMs, and NLP. Proficient in

Python

and at least one deep learning framework:

PyTorch, TensorFlow

, or

JAX

. Solid understanding of

Transformer architectures

(GPT, T5, BERT, Claude, Gemini, etc.). Experience deploying models in production using

cloud infrastructure

and

MLOps

practices. Familiarity with

SQL/NoSQL

and data manipulation at scale. Excellent analytical skills and ability to break down complex problems into production-ready solutions. Comfortable working 5+ hours overlapping with

Pacific Time (PT)

. Strong communication and asynchronous collaboration skills.
Job Types: Full-time, Permanent

Pay: ?3,000,000.00 - ?4,000,000.00 per year

Benefits:

Flexible schedule Health insurance Paid sick time
Schedule:

Monday to Friday
Work Location: In person