Abacum is a collaborative FP&A SaaS platform that consolidates real-time financial and operational data from CRM/HR/ERP to automate reporting, forecasting, scenario planning, and headcount modeling for mid-market tech companies.
About Abacum Abacum is the leading Business Planning solution for finance teams to drive performance. By automating reporting, enabling collaboration, and simplifying planning and forecasting, we help finance teams shift from number crunching to driving strategic decisions. Founded in 2020 by two former CFOs, we’ve grown into a global team of 100+ people across 30+ nationalities. Headquartered in New York, we have offices in Toronto and Barcelona. We’re trusted by industry leaders such as Dish Networks, Strava, BetterUp, Kajabi, JG Wentworth, Abridge, Cortex, and hundreds more. We have raised over $100m, closing in June 2025 our $60M Series B, led by Scale Venture Partners, with the strong participation of Cathay Innovation, Y Combinator, Atomico, Creandum, and angel operators from Adyen, Zapier, and Twitch. Our mission is ambitious and we can’t do it alone - join Abacum as we build the future of Business Planning! Who we are looking for Abacum is seeking a talented AI Engineer to join our dynamic team AI Labs team. In this role, you won’t just be implementing APIs; you’ll be architecting the future of finance by building and deploying autonomous, agentic applications and build the AI core architecture on the platform. This is a high-impact opportunity to work at the cutting edge of AI, transforming complex customer challenges into intelligent, scalable solutions. Responsibilities - 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. Qualifications - 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. Bonus - Strong experience with AI agent orchestration frameworks and architectures. - Background in machine learning or predictive modeling to derive insights from large datasets. - Knowledge of AI safety, alignment, and responsible AI development practices. - Practical experience working with Vector Databases (e.g., pgvector, Pinecone, Qdrant, etc) for RAG implementations. Benefits - Competitive compensation including equity package - Competitive vacation policy - Medical Insurance - L&D budget - Access to Meditopia (wellbeing platform) - Language courses (English / Spanish) Our Values Customer Obsession: We share the understanding that Abacum's sole purpose is to create value for customers and relentlessly deploy all creativity and energy to that end. Audacious Ambition: We dream big and embrace discomfort. We assume risks, make on-time mistakes and learn how to methodically accomplish our goals. Good People: We are self-reflective and praise diversity of thought. We don't justify the end with the means and know where to draw the line. We have fun every day. Tough Love: We truly care for everyone in the team and embrace honest feedback and radical candor as ways to genuinely help each other. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.