Applied AI Engineer

Enterprise AI that automates accounting and compliance processes
$170,000 - $260,000
Machine Learning
Senior Software Engineer
In-Person
101 - 500 Employees
4+ years of experience
AI · Enterprise SaaS

Description For Applied AI Engineer

Klarity (YC S18) is revolutionizing document workflow automation using GenAI technology. As an Applied AI Engineer, you'll join a team that has processed over 600,000 documents through their GenAI platform, serving major clients like Cloudflare, CrowdStrike, DoorDash, and Zoom.

The role requires 4-8 years of experience and is based in San Francisco/Bay Area, with relocation assistance available. You'll be working at the forefront of AI implementation, focusing on document understanding and workflow automation. The position offers competitive compensation ranging from $170K to $260K, plus equity and comprehensive benefits.

The ideal candidate should have a deep passion for AI technology, embracing a mindset of constant experimentation and innovation. You'll be working with various GenAI methods, including RAG, Vision LLMs, and embeddings, to solve complex document processing challenges. The role involves high-velocity experimentation, rapid implementation of cutting-edge AI techniques, and end-to-end ownership of GenAI-powered features.

Klarity has shown strong product-market fit and recently secured a $70M Series B funding. The company stands out for its comprehensive adoption of GenAI, with more than 15 unique LLM use-cases in production. You'll be joining a fast-paced environment where quick iteration and innovation are valued – they pride themselves on shipping new features rapidly, exemplified by their demo release within 12 hours of GPT-4's launch.

The company offers a competitive benefits package including equity, comprehensive health insurance, 401k, wellness budget, and learning opportunities. This role is perfect for someone who thrives in a dynamic startup environment, is passionate about AI technology, and wants to be part of transforming how companies handle unstructured documents.

Last updated 2 days ago

Responsibilities For Applied AI Engineer

  • Conduct high-velocity experiments applying AI techniques to document-understanding tasks
  • Research and integrate the latest applied AI techniques
  • Work on applying existing AI models to solve real-world problems
  • Build, Ship and own the product features powered by GenAI - end-to-end
  • Collaborate with the technical team to scale and deploy successful experiments

Requirements For Applied AI Engineer

  • Familiarity with GenAI methods including RAG, Vision LLMs, small LLMs, and embeddings
  • Proven track record of quickly iterating on AI experiments
  • Ability to navigate and find solutions in technically ambiguous situations
  • Demonstrated ability to rapidly learn and apply state-of-the-art AI techniques
  • 4-8 years of experience

Benefits For Applied AI Engineer

Equity
Medical Insurance
Dental Insurance
Vision Insurance
401k
Education Budget
Relocation Benefits
  • Equity compensation
  • Medical, Dental, and Vision insurance
  • 401k
  • $100 Monthly Wellness budget
  • Annual Learning budget
  • SF/Bay-Area Relocation bonus

Interested in this job?

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