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AI / ML Engineer

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- full time- Posted August 6, 2026- via djinni.co

You will be redirected to djinni.co to apply.

Welcome to Drawer.AI!

- What we do: AI-driven workflows that let estimators pull quantities and costs from complex PDF drawing sets.  
- Stage: Seed-funded, revenue-generating, aiming for a Series A in 2026.  
- Why join now: Real customers are pushing our roadmap faster than our current front-end team can build.

We are looking for an AI/ML Engineer who will work at the intersection of LLMs, classical algorithms, and applied machine learning, focusing on designing and improving intelligent systems that solve complex real-world problems.

Key Responsibilities:

  • Conduct extensive research, prioritize and analyze possible approaches to solving complex technical problems.
  • Audit existing algorithms and improve them using LLM/ML approaches.
  • Design and develop new solutions that combine LLMs with traditional algorithmic techniques.
     

Requirements:

  • 5+ years of experience in AI, mathematical optimization, or a closely related field.
  • Solid understanding of machine learning and deep learning concepts.
  • Experience with neural networks for object classification, detection, and segmentation.
  • Strong mathematical and statistical foundation (linear algebra, Euclidean geometry, probability).
  • Strong expertise in algorithms and data structures (graph theory, computational geometry, mathematical optimization).
  • Proficiency with deep learning frameworks such as TensorFlow, PyTorch, or equivalent.
  • Proven experience writing custom algorithms and heuristics, and integrating them with ML approaches.
  • Experience deploying models in production environments.
  • Hands-on experience with AWS services (S3, Lambda, Step Functions, Bedrock).
  • Experience building LLM-powered pipelines with LangChain.


Nice to have:

  • Experience with graph neural networks (GNNs).
  • Experience extracting and processing information from PDF and SVG files.
  • Experience with Django, FastAPI.
  • Track record of integrating LLMs into production products.
  • Published research in any domain of AI.
  • Relevant AI/ML certifications.
  • Participation in hackathons or Kaggle competitions.
  • Master’s or PhD in Computer Science or a related field.


Join our stellar team at Drawer.AI, where excellence meets opportunity! Experience the exceptional; enjoy a competitive salary and career advancement and the outstanding work environment we take pride in. Elevate your professional journey with us - because we believe in creating success together. Build a better future with us!

Core Skills Required

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