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airSlate

Posted 17 days ago

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Senior Software Engineer - Agentic AI

WroclawOn-siteFull-time

AI Summary

Senior AI Engineer focusing on building production-grade agentic AI capabilities, including RAG, agents, and document understanding, in a greenfield environment. Leads architecture and implements AI features end-to-end.

About this 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 - SignNow, 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.

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 the team; mentor engineers on AI engineering practices.
  • Build and evolve eval frameworks and quality measurement for AI features.
  • Collaborate closely with PM, Design, and adjacent teams to shape AI features that work for real users at scale.
  • Bring proven patterns from the LLM ecosystem (frameworks, agent patterns, MCP, tool use) into the team.

    • What we expect from you:

  • 8+ years of commercial software engineering experience (Python strongly preferred).
  • 3+ years of shipping LLM / GenAI features to production at scale
  • Strong LLM system design: latency, cost, reliability, eval-driven development.
  • Hands-on with RAG in production and agent orchestration (LangGraph or equivalent).
  • Tool use / function calling, familiarity with MCP patterns.
  • Experience with observability and evals for LLM systems (Langfuse, Arize, or equivalent).
  • Ability to own architectural decisions and review others’ designs.
  • English: B2 (Upper-Intermediate).


    • What experience will help you:

  • Document understanding / OCR / structured extraction domain.
  • Postgres + pgvector at scale.
  • LLM proxy patterns (LiteLLM or similar).
  • Mentoring / tech-leading experience - only as an ambassador, no plans to grow AI team

    • Skills

    Agent OrchestrationArizeConversational InterfacesCost OptimisationDocument UnderstandingEval FrameworksLangFuseLangGraphLatency OptimisationLiteLLMLLMLLM Proxy PatternsMCP PatternsObservabilityOCRPGVectorPostgreSQLPythonRAGReliabilityTool Use / Function Calling

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