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 Generative AI. Having raised a $70M Series B in June 2024, they're at the forefront of AI implementation with over 15 unique LLM use-cases in production. The company serves major clients like Cloudflare, CrowdStrike, DoorDash, and Zoom, having processed 600,000+ documents through their GenAI platform.

As an Applied AI Engineer, you'll join a fast-paced environment focused on pushing AI boundaries in document understanding. The role combines hands-on AI implementation with product development, requiring both technical expertise and creative problem-solving. You'll work on cutting-edge AI applications, including video workflow analysis, natural language analytics, and complex table parsing.

The ideal candidate should be passionate about AI, embrace constant innovation, and thrive in a high-intensity startup environment. This position offers competitive compensation ($170K-$260K), comprehensive benefits, and the opportunity to work with a team of dedicated AI enthusiasts in San Francisco.

Klarity stands out for its deep commitment to AI innovation, having evolved from traditional NLP to advanced GenAI solutions. The company culture emphasizes rapid iteration, collaborative problem-solving, and a strong focus on pushing technological boundaries. This role is perfect for someone who wants to be at the intersection of practical AI application and business impact.

Last updated 9 hours 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 in addition to cash compensation
  • Medical, Dental, and Vision insurance
  • 401k
  • $100 Monthly Wellness budget
  • Annual Learning budget
  • SF/Bay-Area Relocation bonus (where applicable)

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