AI Engineer
Responsibilities
- check_circle Drive continuous innovation within AI Labs by researching cutting-edge technologies and experimenting with new PoCs.
- check_circle Design and build sophisticated, multi-provider LLM workflows and autonomous agents capable of advanced reasoning and independent decision-making.
- check_circle Building MCP (Model Context Protocol) agents to bridge the gap between LLMs and our proprietary data ecosystems.
- check_circle Integrate AI capabilities into existing product workflows to automate and enhance core functionality.
- check_circle Optimize AI agent performance through fine-tuning, evaluations, prompt optimization, and system design through RAG pipelines.
- check_circle Bachelor's degree in Computer Science or a related field.
- check_circle Deep understanding of Large Language Models (LLMs) and their practical applications.
- check_circle Proficiency in prompt engineering, chain-of-thought reasoning, context engineering, and token optimization techniques.
- check_circle 5+ years of Software engineering background with expertise in Python and cloud platforms.
- check_circle Hands-on experience with AI frameworks such as LangChain and LangGraph.
- check_circle Self-motivated with the ability to work independently in a fast-paced, remote-first environment.
- check_circle Experience with AI evaluation frameworks, benchmarking, and performance optimization.
Preferred qualifications
- 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
- check_circle Competitive compensation including equity package
- check_circle Competitive vacation policy
- check_circle Access to Meditopia
- check_circle Hybrid working model and flexible working hours
- check_circle Personal development including language courses
About the company
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 London 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.