What are the responsibilities and job description for the AI Engineer position at TABS inc.?
About the Company
Tabs is an AI-powered revenue automation platform for B2B businesses. Using the power of AI, Tabs is able to understand and extract elements from even the most complex B2B contracts and then power automated billing, revenue recognition and reporting workflows. Our customers use Tabs to eliminate manual work, collect cash faster, streamline operations, and increase business model flexibility. Tabs is a Series A hyper growth company based in New York that has raised $35m to date from top-tiers VCs like Lightspeed and Primary Ventures.
About the Role
Tabs is seeking an AI Engineer who will play a key role in building the core systems that enable intelligent agents and AI-driven workflows, revolutionizing how finance teams operate. This position offers the chance to work on production AI systems and shape the future of automation in B2B finance.
How We Work
We work hard. One-week sprints, weekly ship goals, and short feedback cycles. Built around intra-month product releases.
We work smart. Get in front of the customer, use both data and customer feedback to drive decisions, while keeping the bigger picture in the back of our minds.
We work together. In-office culture with people that you want to work with. Lots of whiteboard space. Expense coffee, lunch and dinner when in the office.
What You'll Do
Design and build tools that enable users to create and manage AI pipelines and agents.
Integrate frameworks like LangChain or similar to make LLMs and retrieval systems easy to use and deploy.
Collaborate with cross-functional teams to develop and deliver AI-powered solutions that align with user needs and business goals.
Deploy AI-driven features into production, ensuring reliability, scalability, and user impact.
Stay curious and contribute fresh ideas to enhance the AI capabilities of the Tabs platform.
About You
2 years of relevant professional experience
ML / AI engineering experience, including exposure to production systems.
Hands-on experience with open-source AI frameworks such as LangChain, LangGraph, or similar, and working with APIs like OpenAI or Anthropic.
Strong programming skills in Python, with an understanding of backend development.
An understanding of how to maintain open-source frameworks in a production environment
Curiosity and enthusiasm for learning new technologies, with a passion for solving real-world problems through AI.
Strong collaboration and communication skills, with a team-oriented approach.
An entrepreneurial mindset, with a drive to explore and experiment with new tools and approaches in applied AI
Perks and Benefits :
Competitive compensation and equity
100% coverage for healthcare (Medical, Dental and Vision)
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