AI Engineer (LLM & Agentic Systems)
In short
AI Engineer sought for remote role in Poland to build LLM solutions. Responsibilities include end-to-end app dev, agentic workflows, RAG, evaluation, and production monitoring. Requires 4+ yrs backend exp, LLM production experience, LangGraph, RAG, Azure, and B2+ English.
AI-written summary based on the listing content.
Location: Remote (Poland only)
Start: ASAP / within 30 daysType: Long-term engagementWe are looking for a AI Engineer to build and scale production-grade LLM solutions used by real customers. You will take AI features from concept to production, ensuring high quality, performance, observability, and reliability.
Responsibilities
- Build end-to-end LLM applications using LangGraph and Fast
- API
- Design agentic workflows, RAG pipelines, and tool-calling solutions
- Create evaluation frameworks and regression tests for LLM quality
- Improve retrieval, prompting, and overall answer accuracy
- Monitor and debug production AI systems using tracing and observability tools
- Optimize latency, token usage, and infrastructure costs
- Requirements
- Minimum 4 years of experience.
Strong experience with backend development (APIs, async programming, testing)
Proven experience delivering and maintaining LLM solutions in production
- Hands-on experience with LangGraph and RAG
- Experience debugging AI systems, including evaluation, observability, and cost optimization
- Cloud experience, preferably Azure
- Strong analytical and problem-solving skills
- English at minimum B2 level
- Proactive, collaborative, and communicative approach
- Nice to Have
- Azure Open
- AIAzure AI Search
- Azure App Service
- Bicep (Infrastructure as Code)
Mentoring or Tech Lead experience
Tech Stack
Python, FastAPI, LangGraph, Azure OpenAI, Google Gemini, Anthropic Claude, FAISS, PostgreSQL, Langfuse, Azure Application Insights, Bicep, Docker/Podman.
What We OfferFully remote work within PolandLong-term project
Private healthcare (Medicover)
Multisport cardGroup life insurance
Opportunity to work on cutting-edge AI solutions at scale
| Published | 2026-09-16 |
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