
51 - 200 employees
Founded 2020
🤝 B2B
💸 Finance
💳 Fintech
B2B • Finance • Fintech
Abacum is a financial planning and analysis platform that empowers finance teams to drive business performance through impactful budgeting, forecasting, and reporting. With a focus on enabling CFOs and finance teams to make data-driven decisions efficiently, Abacum offers tools for collaborative planning, scenario analysis, and real-time insights into financial performance. By integrating seamlessly with existing systems, Abacum helps organizations save time and enhance their financial decision-making processes.
🕒 February 26
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51 - 200 employees
Founded 2020
🤝 B2B
💸 Finance
💳 Fintech
B2B • Finance • Fintech
Abacum is a financial planning and analysis platform that empowers finance teams to drive business performance through impactful budgeting, forecasting, and reporting. With a focus on enabling CFOs and finance teams to make data-driven decisions efficiently, Abacum offers tools for collaborative planning, scenario analysis, and real-time insights into financial performance. By integrating seamlessly with existing systems, Abacum helps organizations save time and enhance their financial decision-making processes.
• Drive continuous innovation within AI Labs by researching cutting-edge technologies and experimenting with new PoCs. • Design and build sophisticated, multi-provider LLM workflows and autonomous agents capable of advanced reasoning and independent decision-making. • Building MCP (Model Context Protocol) agents to bridge the gap between LLMs and our proprietary data ecosystems. • Integrate AI capabilities into existing product workflows to automate and enhance core functionality. • Optimize AI agent performance through fine-tuning, evaluations, prompt optimization, and system design through RAG pipelines.
• Bachelor's degree in Computer Science or a related field • Deep understanding of Large Language Models (LLMs) and their practical applications. • Proficiency in prompt engineering, chain-of-thought reasoning, context engineering, and token optimization techniques. • 5+ years of Software engineering background with expertise in Python and cloud platforms. • Hands-on experience with AI frameworks such as LangChain and LangGraph. • Self-motivated with the ability to work independently in a fast-paced, remote-first environment. • Experience with AI evaluation frameworks, benchmarking, and performance optimization.
• Competitive compensation including equity package • Competitive vacation policy • Access to Meditopia • Hybrid working model and flexible working hours • Personal development including language courses
Apply Now🕒 February 16
AI Engineer leading the AI & Data department at Gstock, optimizing B2B SaaS solutions through innovative AI and data strategies.
Apache