Benefits

Full Job Description

Role Overview This role combines backend engineering with agentic AI, retrieval-augmented generation, evaluation, and production observability. The position offers the opportunity to engineer and operate production-grade generative AI systems used by real customers. You will work hands-on with technologies such as LangGraph, Azure OpenAI, Gemini, Claude, and modern cloud services. What You Will Do Build and deliver LLM-powered features end to end, develop production-ready FastAPI services, establish and maintain evaluation datasets, optimize context provided to models, diagnose incorrect or low-quality responses, and contribute to architectural and technical decisions across the GenAI platform. Why It Might Be a Fit You will join a technically ambitious environment where your decisions can directly influence how AI-powered products are designed and operated at scale. You will work with a contemporary technology stack spanning agentic AI, RAG, cloud infrastructure, observability, and backend engineering. Requirements 5+ years of professional software engineering experience Strong hands-on experience building and operating backend services, APIs, asynchronous systems, and automated tests Practical experience with agentic AI or orchestration frameworks, ideally LangGraph Strong hands-on experience with Retrieval-Augmented Generation (RAG) Experience debugging production LLM systems using tracing, evaluation frameworks, latency analysis, cost monitoring, and quality metrics Professional experience deploying and operating cloud-based services, preferably within Microsoft Azure Strong Python development skills, ideally combined with FastAPI and experience building scalable AI-enabled backend services Familiarity with technologies such as Azure OpenAI, Google Gemini, Anthropic Claude, FAISS, PostgreSQL, Docker or Podman, and related AI infrastructure Experience with infrastructure-as-code tools such as Bicep is an advantage Strong analytical thinking, problem-solving ability, and sound technical decision-making skills Fluent English communication skills, with the ability to collaborate effectively in a distributed and multicultural environment Proactive, open-minded, and creative approach, with a genuine interest in advancing AI capabilities and automation Previous mentoring or technical leadership experience is considered a plus Benefits B2B contract arrangement 100% remote work Long-term engagement and the opportunity to contribute to a live production LLM product Hands-on exposure to modern generative AI and LLM technologies Flexible working environment designed to support autonomy and effective collaboration

Skills and Technologies