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Location
Remote (Ukraine)
Seniority
Senior · 5+ years exp
Employment
Full-Time

First seen by Alion on Oct 16, 2026.

Overview
Company
Impact
Profile match
Drawer.ai accelerates electrical estimating with AI, quantifying devices and fixtures from PDFs, automating branch routing cutting takeoff time by up to 90%.

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!

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