
51 - 200 employees
Founded 2024
âïž SaaS
đ€ Artificial Intelligence
đą Enterprise
đ„ Funding within the last year
đ° $90M Series A - DualEntry on 2025-10
SaaS âą Artificial Intelligence âą Enterprise
DualEntry is an AI-native ERP and cloud accounting platform that automates core finance functions for growing enterprises. It provides a full-featured accounting suiteâgeneral ledger, accounts payable/receivable, cash and treasury management, reconciliation, revenue recognition, multi-entity/multi-currency consolidation, and subscription billingâaugmented with AI for OCR, auto bank matching, anomaly detection, intercompany automation, and AI-driven reporting and insights. DualEntry offers fast migrations and integrations (13,000+ connectors), built-in audit automation and compliance (IFRS/GAAP, SOC 2, GDPR), and targets mid-market to IPO-stage companies seeking to replace legacy ERPs with a scalable, secure SaaS solution.
đ„ 13 hours ago
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51 - 200 employees
Founded 2024
âïž SaaS
đ€ Artificial Intelligence
đą Enterprise
đ„ Funding within the last year
đ° $90M Series A - DualEntry on 2025-10
SaaS âą Artificial Intelligence âą Enterprise
DualEntry is an AI-native ERP and cloud accounting platform that automates core finance functions for growing enterprises. It provides a full-featured accounting suiteâgeneral ledger, accounts payable/receivable, cash and treasury management, reconciliation, revenue recognition, multi-entity/multi-currency consolidation, and subscription billingâaugmented with AI for OCR, auto bank matching, anomaly detection, intercompany automation, and AI-driven reporting and insights. DualEntry offers fast migrations and integrations (13,000+ connectors), built-in audit automation and compliance (IFRS/GAAP, SOC 2, GDPR), and targets mid-market to IPO-stage companies seeking to replace legacy ERPs with a scalable, secure SaaS solution.
âą Own AI features end-to-end from designing agentic workflows and RAG pipelines to the infrastructure that runs them in production at scale âą Work on genuinely hard problems financial data is structured, high-stakes and unforgiving, making it one of the more interesting domains to apply LLMs to âą Build the evaluation frameworks and experimentation loops that turn good models into reliable, production-grade systems âą Partner directly with product and domain experts to push the frontier of what AI can do inside an ERP, not just what's been done before
âą 3+ years in a technical role with a strong foundation in backend systems, APIs, and cloud infrastructure âą 2+ years shipping production AI systems with real users and real stakes, not research or prototypes âą Hands-on experience with production LLM applications, RAG pipelines, agentic systems or structured extraction âą Proficiency in Python and comfort working across the full stack to deliver end-to-end features
âą Equity: $35,000 - $50,000 USD âą Time Off: 27 PTO days (incl. public holidays) âą Visa sponsorship option for relocation to NYC within 2+ years âą Enjoy a learning & development budget for courses, certifications, and language learning to keep growing your skills âą Work where you feel most productive at co-working spaces or from your home office with support for setup, internet, and phone
Apply Nowđ 4 days ago
AI Engineer building production-ready LLM workflows on OpenAI and Anthropic APIs. Responsible for hybrid retrieval, evaluation, and integration into production systems.
Python
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AI/ML Engineer working at Newel Health on intelligent models that personalize digital therapies using real-world data. Collaborate with engineering to embed models into SaMD environments while ensuring compliance and standards.
đȘđș Europe â Remote
đ° $2.5M Grant - Newel Health on 2023-02
â° Full Time
đĄ Mid-level
đ Senior
đ€ AI Engineer
Python
PyTorch
Scikit-Learn
Tensorflow
đ June 12
AI Engineer developing AI-powered systems at Starbridge. Collaborating with teams to design new capabilities and evaluate AI model performance.
đȘđș Europe â Remote
đ” $120k - $140k / year
â° Full Time
đĄ Mid-level
đ Senior
đ€ AI Engineer
Cloud
Python