AI Engineer @ Trullion
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Overview
Trullion is revolutionizing the accounting world with an AI-powered platform designed for finance teams, accountants, and auditors. The company automates financial workflows to increase efficiency, prevent costly oversights, and drive collaboration.
As an AI Engineer at Trullion, you will join the R&D team to design, develop, and maintain AI-driven systems that power intelligent agents, semantic search, and document understanding solutions.
Responsibilities
- Design and develop LLM-powered AI solutions for production.
- Implement data source and API integrations to automate workflows.
- Build and optimize complete AI pipelines from data ingestion to model monitoring.
- Collaborate with product, data, and UX teams to meet business needs.
- Continuously evaluate and improve model performance and scalability.
Requirements
- BSc or MSc in Computer Science, Data Science, or related field.
- 4+ years of experience in AI or backend engineering.
- Expertise in deep learning, machine learning, NLP, or computer vision.
- Proven experience in building end-to-end AI workflows.
- Advanced proficiency in Python and software architecture design.
- Ability to write clean, testable, production-grade code.
- Strong problem-solving and communication skills in English.
About Trullion
Established in 2019 and headquartered in New York with offices in Tel Aviv and London, Trullion is backed by Aleph, Third Point Ventures, Greycroft, StepStone Group, and leading global CFOs and accounting firms. The company values ambition, transparency, collaboration, and commitment, offering a supportive culture with excellent work-life balance and personal development opportunities.
Key skills/competency
- LLMs
- Computer Vision
- NER
- Statistical Modeling
- Machine Learning
- Python
- Backend Engineering
- AI Pipelines
- Software Architecture
- Collaboration
How to Get Hired at Trullion
🎯 Tips for Getting Hired
- Research Trullion's culture: Study their mission, values, and investments.
- Customize your resume: Highlight AI, backend, and Python expertise.
- Prepare for technical interviews: Practice LLMs, computer vision, and ML questions.
- Network on LinkedIn: Connect with current Trullion employees.