AI Engineer/Research

Soraban; California (MO); Remote; USD 80,000 - 100,000; Full time

Job summary

Join a forward-thinking startup as an AI Research Engineer, where your expertise in software engineering and LLMs will play a crucial role in scaling innovative AI products. This remote position offers a unique opportunity to work with cutting-edge technology while collaborating with a dynamic team. As the company grows, you'll transition to an in-person role, allowing for deeper collaboration and engagement. If you're passionate about AI and eager to make an impact in a fast-paced environment, this is the perfect opportunity for you to showcase your skills and drive the future of AI solutions.

Qualifications

• 5+ years of software engineering experience with strong curiosity and autonomy.
• Experience with LLM tuning and understanding of Transformer architecture.

Responsibilities

• Help scale AI products in a remote team transitioning to in-person.
• Work on LLM, tuning, and data incorporation at scale.

Skills

Software Engineering

LLM Experience

Transformer Architecture

ML Stack (TF2, Jax, TPUs)

Data Scraping

Prompt Engineering

Embedding Tools (langchain, pinecone)

Autonomous Work

Job description

We’re a post-PMF B2B startup with ARR growing exponentially every month. With an increasing number of customers and usage exploding, we’re looking for a AI Research Engineer to help us scale our AI products.

We’re a remote team that’s looking to build our teams in San Francisco (CA), Austin (TX), and Tempe (AZ) locations. This will be initially a remote role, but will transition to an in-person role in 3-6 months.

Skills & experience we're looking for:

• At least 5 years of full-time experience as a software engineer.
• Strong curiosity and willingness to learn new things.
• Willingness to work hard and drive objectives to completion autonomously.
• Experience working with LLM, such as Anthropic, LLAMA, OpenAI, or similar.
• Understanding of Transformer Architecture.
• Experience with LLM tuning, including prompt engineering, instruction tuning, RLHF, and parameter-efficient tuning.
• Experience with embeddings and tools like langchain, pinecone, etc.
• Experience with the modern ML stack (e.g., TF2, Jax, TPUs).
• Experience scraping and incorporating data at scale from public and private sources.

Bonus if:

• You are great at product.
• You have shipped a product end-to-end (from frontend to backend/API).
• Production experience with Ruby on Rails (web app).
• You are a self-starter who doesn't need to be micromanaged.
• You are persistent and determined, and will go through walls to get the job done.
• You've directly worked with a founder before.

Important Note: Instead of a cover letter, please send over a link or anything that my team and I can review to quickly determine if we have a fit. Show us that you can do this job well.

Please do not reach out if you are a recruiter, thanks!