Applied AI Engineer, Klarity
+Equity
Relocation bonus available
Automated document review
Open for applications
Automated document review
101-200 employees
Open for applications
+Equity
Relocation bonus available
101-200 employees
Company mission
To save time, mental energy, and human potential by automating away the most painful aspects of contract review.
Role
Who you are
- You tinker: you embracing AI mindset and constantly seek AI technologies to solve different problems
- You are obsessed with AI and frequently spend your free-time thinking about how AI will change the world
- Growth mindset: You will seek out uncomfortable experiences in service of your own growth
- You’re seeking a culture of breakneck iteration and constant change. We shipped this demo < 12 hours after the GPT-4 launch :)
- You thrive in finding creative solutions to ambiguous problem statements, rather than wanting to “stay in your lane”
- You’re not indexing on work-life balance; You prefer an environment of like minded, ultra-committed, live-and-breath AI people
- You enjoy close collaboration, care about people and want to build strong bonding with your teammates
Desirable
- Familiarity with various GenAI methods, including Retrieval-Augmented Generation (RAG), Vision LLMs, small LLMs, and embeddings
- Proven track record of quickly iterating on AI experiments and adapting to new findings and challenges
- Ability to navigate and find solutions in technically ambiguous situations
- Demonstrated ability to rapidly learn and apply the latest state-of-the-art AI techniques
What the job involves
- Conduct high-velocity experiments applying AI techniques to document-understanding tasks, aiming to develop innovative solutions
- Continuously research and integrate the latest applied AI techniques to ensure Klarity remains at the forefront of technology
- Work on applying existing AI models and techniques to solve real-world problems, rather than conducting original research or training new LLMs
- Build, Ship and own the product features powered by GenAI - end-to-end
- Collaborate with the broader technical team to scale and deploy successful experiments for 1-10 rollout
Our take
While document automation isn’t a new concept, early solutions in the market still required an element of human review as they only provided partial automation. Klarity developed a fully automated AI software, replacing the need for human review for over 85% of document types.
The company has seen substantial growth as it continues to scale its product to meet the needs of enterprise and midmarket customers. Its software has reviewed many thousands of contracts for some of the world’s most innovative high-growth companies including Open AI, Optimizely and Zoom.
Well funded, Klarity’s latest raise is cited to help it build out its team across major functions such as engineering, product and go-to-market. The company has long-term ambitions to grow its customer base and accelerate the development of more tools to enhance its growing suite.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Jun 2024
$70m
SERIES B
Jan 2022
$18m
SERIES A
Total funding: $90.4m
Company benefits
- Health/Dental/Vision Insurance
- Monthly Wellness Stipend
- Annual Learning & Development Stipend
- Flexible to Work From Anywhere
- Social Activities in Person and Virtual
- Pet Friendly Office
Company values
- We Take Complete Ownership
- Empathy for Each Other and the Customer
- We Collaborate with Humility
- We Take Work Seriously Not Ourselves
- Delivering Quality. Quickly!
- Passion for our Craft
- Impact Above the Status Quo
Company HQ
Union Square, San Francisco, CA
Articles
Leadership
Andrew Antos
(CEO)Former Junior Associate (Registered Legal Trainee) at Squire Patton Boggs, was Senator to the Academic State at Masaryk University, Law Clerk at Squire Sanders, and was an Advisor at the Office of the Government of the Czech Republic.
Nischal Nadhamuni
(CTO)Former Software Developer at Airware, and was an Intern at Flipkart and the Massachusetts General Hospital (Data Analytics). Received their BS in Computer Science from the Massachusetts Institute of Technology (MIT).
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