Senior Software Engineer - Agentic AI
3 мес. назад
PolandEuropeSeniorRemote
aimachine learningpython
Senior Software Engineer to build AI capabilities in a SaaS company focusing on no-code workflow automation products.
О компании
- About 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 , we’re building value for customers and a culture where growth and innovation go hand in hand. We’re looking for peo
Другое
- 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.
- 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).
- 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