AI Staff Software Engineer

About Klarity

Klarity (YC S18) automates Unstructured-Document workflows using GenAI. Our vision is a future of Exponential Organizations - companies that can hyper-scale without vast operational teams of humans reading documents.

Our customers include companies like Cloudflare, CrowdStrike, DoorDash, and Zoom. They use Klarity to 1) save time and money, 2) reduce compliance risk, and 3) speed up manual contract review. But talk is cheap, so try our demo!

We found strong Product Market Fit in 2020 and raised an $18m Series A in Dec 2021. We have since more than 6x’d revenue. We are looking to add a brilliant, entrepreneurial AI Staff Software Engineer to the team!

Experience: 6-12 years

Location: San-Francisco/Bay-Area (relocation bonus available), Hybrid

Job Type: Full-time

Our Gen AI journey: 

Founded in 2017, we shipped multiple NLP/ML product iterations pre-chatGPT. In 2023 we rebuilt our core AI platform using GenAI. 

We’re not your average Gen AI startup, gradually layering LLMs on. We’re all in. We have more than 15 unique LLM use-cases in production with 10+ LLMs under the hood. We have shipped multiple first-of-its-kind customer experiences including video workflow analysis, natural language analytics, complex table parsing, and table-matching. To date, we have processed 600,000+ documents through our GenAI platform. 

You will enjoy this role if: 

1. You tinker: you embrace AI mindset and constantly seek AI technologies to solve different problems

2. You are obsessed with AI and frequently spend your free-time thinking about how AI will change the world.

3. Growth mindset: You will seek out uncomfortable experiences in service of your own growth

4. You’re seeking a culture of breakneck iteration and constant change. We shipped this demo < 12 hours after the GPT-4 launch :)

5. You thrive in finding creative solutions to ambiguous problem statements, rather than wanting to “stay in your lane”

6. You’re not indexing on work-life balance; You prefer an environment of like minded, ultra-committed, live-and-breath AI people. 

7. You enjoy close collaboration, care about people and want to build strong bonding with your teammates.

In this role, you will:

• Design, develop, and deploy innovative AI/ML solutions to solve complex business problems. Transform AI prototypes into robust, scalable production systems

• Work closely with product, design, and other engineering teams to uncover requirements and deliver AI-powered features

• Write, review, and maintain high-quality code, ensuring best practices and coding standards are followed

• Continuously monitor and improve the performance, reliability, and scalability of AI models and systems

• Keep up to date with the latest advancements in AI/ML technologies and integrate relevant innovations into our platform

• Provide technical leadership and mentorship to junior engineers, fostering a culture of learning and growth

Preferred qualifications:

• Demonstrated experience in shipping production-grade Python code and building scalable systems for large enterprise customers

• Proven track record of shipping multiple GenAI features and familiar with challenges like hallucination and auto-prompt generation

• Experience mentoring engineers and raising the bar for technical excellence

• Ability to hold strong opinions but remain humble and flexible, always open to learning and adapting

• Strong analytical and problem-solving skills, with the ability to navigate through complex technical challenges

• Excellent communication and interpersonal skills, with a collaborative approach to working with cross-functional teams

• A deep passion for AI and its potential to transform industries, with a continuous desire to learn and innovate

Join Klarity and be part of a team that is pushing the boundaries of AI and transforming how companies handle unstructured documents.

Klarity is an equal opportunity employer. Klarity provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.