AI Engineer

Trullion is transforming the accounting world with an AI-powered platform built for accountants and auditors. Our technology automates complex financial workflows, boosts efficiency, reduces costly errors, and fosters real collaboration. Founded in 2019, Trullion is on a mission to make accounting and audit technology people truly love, driving a more efficient, transparent, and human-oriented industry. From rapid onboarding to a seamless managed service model, we deliver a customer-first experience at every step.

Headquartered in New York, with offices in Tel Aviv and London, we are backed by top investors, including Aleph, Third Point Ventures, Greycroft, StepStone Group, as well as leading global CFOs and accounting firms.

As our company continues to grow, an exciting opportunity awaits a dynamic individual to join our R&D team as an AI Engineer. We are seeking a highly skilled AI Engineer with expertise in LLMs, computer vision, NER, statistical modeling, and classic ML. The ideal candidate will have strong backend software engineering skills, advanced proficiency in Python, and extensive experience in the end-to-end development, deployment, and maintenance of AI-driven systems. This role requires a team player with a can-do attitude who thrives in a collaborative environment, bringing innovative ideas from concept to scalable, high-quality products.

Responsibilities:

• Design, build, and manage secure, scalable infrastructure across AWS and Azure (GCP is a bonus), including support for AI/LLM workloads.
• Define infrastructure as code using Terraform and GitOps workflows (e.g., Argo CD, GitHub Actions), ensuring reliable, repeatable deployments.
• Select and manage frameworks, tools, and technologies that support automation, observability, and system performance..
• Lead Trullion’s cloud security and compliance initiatives, supporting SOC 2 readiness and zero-trust adoption alongside the CTO.
• Oversee internal IT operations, including device management and access control, with a lightweight, cloud-first approach.
• Collaborate with engineering teams to define deployment pipelines and integrate infrastructure into development workflows.
• Develop internal tooling and platform capabilities that help scale Trullion’s SaaS product.
• Implement observability best practices (monitoring, logging, alerting), and provide visibility to engineering and professional services.
• Ensure system reliability by setting SLOs, leading incident response, and conducting post-mortems.

Requirements:

• BSc or MSc in Computer Science, Data Science, or related field (research experience is an advantage).
• 4+ years of experience in AI engineering, backend engineering, or similar.
• Strong knowledge in one or more of deep learning, machine learning, NLP, or computer vision.
• Proven experience building end-to-end AI workflows (e.g., semantic search, summarization, NER, question answering).
• Proficiency in Python and software architecture design.
• Ability to write clean, testable, production-grade code.
• Strong problem-solving skills and ability to learn quickly.
• Excellent communication skills in English, both verbal and written.

About us:

We embrace our core values in everything that we do:

• Think BIG. We are ambitious, proactive, and we love challenging the status quo.
• Live by truth. We uphold the highest standards of accuracy and accountability.
• On Your Side. We are on this journey together and want to collaborate and empower each other to succeed.
• Committed. Committed to execution. Committed to delivery. Committed to excellence.