AI Engineer

Humata; Austin (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Humata is a seed-stage startup in Austin developing a state-of-the-art GenAI system for document and knowledge-base question-answering. As an AI Engineer, you will prototype and ship new document search methods, including image-based RAG, document understanding, and ML-based re-ranking, while owning key projects and contributing to the cognitive architecture.

You will work in a fast-paced environment, collaborating with a team to push the boundaries of retrieval-augmented generation and

Qualifications

• >5 years of software engineering experience.
• >Hands-on production experience with large language models (LLMs) such as GPT-4 or Llama 3.1.
• >Proven expertise in Retrieval-Augmented Generation (RAG) and tuning for accuracy.
• >Strong knowledge of search engines and information retrieval (ElasticSearch, Vespa).
• >Experience with cloud platforms (AWS, GCP) and SQL databases.
• >Proficiency in Typescript and Python.
• >AI/ML research background with LLM training/fine-tuning.
• >Node.js development experience.
• >Ownership: take initiative and drive projects to completion.
• >Scrappy, action-oriented, fast-paced startup experience.
• >Collaborative team player.

Responsibilities

• Prototype and ship new methods of document search including image-based RAG, document understanding, and ML based re-ranking.
• Take end-to-end ownership of important projects as Humata builds out the cognitive architecture.

Skills

5+ years of software engineering

LLMs (GPT-4, Llama)

RAG (Retrieval-Augmented Generation)

Information retrieval / search

Cloud platforms (AWS, GCP)

SQL databases

Typescript

Python

Node.js

Ownership mentality

Scrappy & action-oriented

Collaborative team player

Tools

ElasticSearch

Vespa

AWS

GCP

SQL databases

Node.js

Typescript

Python

Job description

About Humata

Humata is a seed-stage startup based in Austin, Texas who was first to market with our Chat with Documents app in early 2023. We are now on a mission to build the best document- and knowledgebase-answering product on the market. To achieve this we are building a state-of-the-art GenAI system, internally named the cognitive architecture, that combines cutting edge approaches in GenAI, Search, and Retrieval-Augment Generation (RAG). We are looking for an AI Engineer who will play a pivotal role in this effort.

About the Role

As an AI Engineer at Humata, you will work at the forefront of GenAI and information retrieval, building innovative architectures that push the boundaries of what’s possible with document and knowledge-base question-answering. You will have the opportunity to:

Invent and Implement

Prototype and ship new methods of document search including image-based RAG, document understanding, and ML based re-ranking.

Own and Impact

Take end-to-end ownership of important projects as Humata builds out the cognitive architecture.

Qualifications

• 5+ years of software engineering experience
• Proven production experience with LLMs (e.g., GPT-4 or Llama 3.1)
• Expertise in Retrieval-Augmented Generation (RAG) with demonstrated success in tuning applications for accuracy
• Strong knowledge of search engines and information retrieval (e.g., ElasticSearch, Vespa)
• Experience with cloud platforms (AWS, GCP) and SQL databases
• Proficiency in Typescript and Python
• AI/ML research background with experience in training and fine-tuning LLMs
• Experience with Node.js development
• Ownership Mentality: Takes initiative and drives projects to completion with minimal oversight.
• Scrappy and Action-Oriented: Thrives in a fast-paced, early-stage environment, delivering frequent, impactful code changes.
• Collaborative Team Player: Values team health, open communication, and collective success.

Why Join Humata?

Innovate

Push the boundaries of GenAI using both closed- and open-sourc e tools.

Ownership and Impact

Shape critical systems and processes in an early-stage startup.

Ready to Join Us?

If you’re an engineer passionate about building world-class AI systems and eager to tackle the challenges of Retrieval-Augmented Generation, we’d love to hear from you! Apply today to be part of our journey to redefine how users interact with documents and knowledge bases.