About the role
About airSlate airSlate is a global SaaS technology company that develops no-code workflow automation, electronic signature, and document management solutions. Our award-winning products - Sign Now, pdfFiller, DocHub, altaFlow, Instapage, and US Legal Forms - serve over hundreds of millions of users and more than one million customers worldwide, helping organizations of every size digitize processes, improve efficiency, and transform how they work. We’re in an exciting phase of growth and transformation, with teammates in more than 20 countries across three continents and main hubs in the United States, Poland, Romania, Ukraine and Philippines . At airSlate, we’re building value for customers and a culture where growth and innovation go hand in hand. We’re looking for people eager to shape products, scale a company, and thrive in a fast-moving environment. About SignNow team: We are a passionate and ambitious team of 100+ people on a mission to succeed with our award-winning signature solution – SignNow . SignNow empowers over 28 million people at companies across the world to move fast with everything they need to send and eSign their documents. Increase productivity with document workflows, impress customers, and save money while maximizing ROI with SignNow. And now we are looking for a Senior AI Engineer to focus on building AI capabilities from the ground up in a greenfield environment, helping shape the foundations of how intelligence is embedded into the product. You will design and implement production-grade agentic workflows, pipelines, and AI-powered product experiences , going beyond simple model usage to create reliable systems that can deliver real business value. This role requires strong ownership in evaluating frameworks, orchestrating deterministic and non-deterministic flows, and turning emerging AI technologies into scalable product capabilities. Will collaborate closely with cross-functional teams and senior engineers across the organization to define architecture, drive technical initiatives, and help establish the engineering standards for AI systems in a production environment. \n What you will be working on: Design and ship production AI features end-to-end — RAG, agents, document understanding, conversational interfaces — across LangGraph / LiteLLM / pgvector / Langfuse. Drive technical architecture for the AI product line: LLM orchestration, evals, observability, latency / cost / reliability tradeoffs. Own AI initiatives technically — from spec through production, including rollout and post-launch eval improvements. Code review and architectural feedback across
