Senior Software Engineer - Agentic AI

airSlate is a global SaaS technology company that develops no-code workflow automation, electronic signature, and document management solutions. Their products include SignNow, pdfFiller, DocHub, altaFlow, Instapage, and US Legal Forms, serving hundreds of millions of users and more than one million customers worldwide. The company has teams in more than 20 countries across three continents with main hubs in the United States, Poland, Romania, Ukraine, and the Philippines.

• 8+ years of commercial software engineering experience, with strong preference for Python.
• 3+ years of experience shipping LLM / Generative AI features to production at scale.
• Strong LLM system design skills including latency, cost, reliability, and evaluation-driven development.
• Hands-on experience with RAG in production and agent orchestration (LangGraph or equivalent).
• Familiarity with tool use, function calling, and MCP patterns.
• Experience with observability and evaluation tools for LLM systems such as Langfuse or Arize.
• Ability to own architectural decisions and review others' designs.
• English language proficiency at B2 (Upper-Intermediate) level.

Nice to have:

• Experience in document understanding, OCR, and structured extraction domains.
• Experience with Postgres and pgvector at scale.
• Familiarity with LLM proxy patterns like LiteLLM or similar.
• Mentoring or tech-leading experience as an ambassador role, with no plans to grow AI team.

• Design and ship production AI features end-to-end including RAG, agents, document understanding, conversational interfaces across LangGraph, LiteLLM, pgvector, Langfuse.
• Drive technical architecture for the AI product line including LLM orchestration, evals, observability, and managing latency, cost, and reliability tradeoffs.
• Own AI initiatives technically from specification through production, including rollout and post-launch evaluation improvements.
• Provide code review and architectural feedback across the team; mentor engineers on AI engineering practices.
• Build and evolve evaluation frameworks and quality measurement for AI features.
• Collaborate closely with Product Management, Design, and adjacent teams to shape AI features for real users at scale.
• Bring proven patterns from the LLM ecosystem such as frameworks, agent patterns, MCP, and tool use into the team.

It is airSlate's policy to comply with all applicable equal employment opportunity laws by making all employment decisions without unlawful regard or consideration of any individual's protected characteristics. Assistance or accommodations during the application process are available upon request. airSlate considers qualified applicants with arrest and conviction records where applicable by law.