Senior Software Engineer – Agentic AI

🕒 vor 3 Monaten

🌐 Polen, Vereinigte Staaten, +2 weitere Länder – Remote

🇵🇱 Polen – Remote 🇺🇸 Vereinigte Staaten – Remote 🇷🇴 Rumänien – Remote 🇺🇦 Ukraine – Remote

⏰ Vollzeit

🟠 Senior

🧑‍💻 Full-Stack-Entwickler

👻 Geisterscore 26%

Was es bedeutet: wie wahrscheinlich diese Stelle offen bleibt, ohne dass aktiv eingestellt wird.So liest du es: 60 % oder höher heißt, wir halten das für einen Geisterjob. Niedrigere Werte sind weniger bedenklich.Wie wir werten: Dauer offen, Neuveröffentlichungen, offene Stellen vs Teamgröße, wie schnell Stellen geschlossen werden, und ob ein Gehalt angegeben ist.Hinweis: eine Schätzung aus öffentlichen Daten, kein Urteil über das Unternehmen. Echte Stellen können hoch punkten, nutze es also als Hinweis, nicht als Fakt.

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airSlate

WebsiteLinkedInAlle Stellen

501 - 1000 Mitarbeiter

💼 Beratung

📦 Logistik

📣 Marketing

💰 €51.500.000 Series B im 2022-06

Consulting • Logistics • Marketing

airSlate entwickelt das nächste große Ding für Workflows. Lesen Sie hier alle neuesten Nachrichten und spannenden Neuigkeiten.

Beschreibung

• 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.

🎯 Anforderungen

• 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).

🏖️ Vorteile

• Flexible working environment - Our teams operate across the globe. We value in‑person collaboration in our hubs, but we also embrace remote and hybrid working. You can work from one of our offices in the United States, Poland, Romania or Ukraine, or remotely from many countries. • Competitive compensation and stock options - We offer salaries that reflect local market conditions and experience, plus a performance-based bonus system and stock options so you share in the company’s growth. • Professional growth and learning - We invest in your development through courses, conferences, and access to learning resources. We encourage career growth and internal mobility, supporting teammates who want to explore new opportunities within airSlate. • Health and well‑being - We provide comprehensive benefits tailored to each country, including health coverage, wellness programmes and access to fitness options. We also dedicate quarterly company-wide Mental Health Days, when everyone takes time off to rest and recharge. • Family‑friendly culture - Family life is part of who we are, and we embrace it in many forms. From flexibility for parents to our airSlate Junior Club for kids, to company-wide family days and our pet-friendly approach, we’re committed to making work and life easier to balance. • Giving back - We support charitable initiatives around the world through the airSlate Care programme. Our current focus includes humanitarian aid in Ukraine and other regions, matching employee donations and supporting causes chosen by our teams. • Open communication - We encourage transparent dialogue at all levels. From team discussions to company-wide Q&A sessions with our CEO, we make sure everyone has the chance to be heard and to influence how we grow.