AI software engineer

This is a REMOTE position. We only accept candidates located in EU, Norway, UK, and Switzerland. We are looking for a Senior Engineer who is passionate about building scalable, async-first backend systems and modern AI architectures. You’ll join a small, highly skilled remote team of engineers and transformation practitioners working at the forefront of enterprise AI. You’ll design and implement backend services, event-driven architectures, and multi-agent communication layers using modern Python, Pydantic, async frameworks, and cloud-native tools. Required experience Core LLM Engineering (2+ years) Designing and building production-grade LLM-powered applications Working with foundation models (OpenAI, Anthropic, open-source models) Implementing complex skill/tool based or multi agents pipelines Prompt engineering and optimization, and/or fine tuning and model training Managing context windows, token optimization, and cost efficiency Advanced AI Product Development Building end-to-end AI features integrated into user-facing products Handling real-world challenges: latency, reliability, prompt injections, hallucination mitigation Implementing guardrails, content filtering, and safety measures Designing agentic systems and multi-step reasoning workflows Experience with function calling, tool use, and structured outputs Evaluation & Testing Infrastructure Hands-on experience with evaluation frameworks (Braintrust, Langfuse, or similar) Designing and implementing eval suites for LLM outputs Building regression test benches for prompt and model changes Understanding of evaluation methodologies: human eval, model-graded eval, reference-based metrics Observability & Production Operations Implementing tracing and logging for LLM pipelines (Langfuse, Braintrust, or similar) Monitoring model performance, latency, and cost in production Debugging complex multi-step AI workflows Setting up alerting for quality degradation and anomalies Managing prompt versioning and deployment pipelines Technical Skills Languages : Python (primary), TypeScript/JavaScript Eval Tools : Braintrust, Langfuse, custom evaluation frameworks Infrastructure : Cloud platforms (AWS/GCP/Azure), containerization, CI/CD Desired Qualities Strong software engineering fundamentals beyond just AI/ML Data-driven approach to measuring and improving AI quality Ability to balance speed of iteration with production reliability Clear communication about AI capabilities and limitations Proactive about staying current with rapidly evolving LLM landscape About EggAI EggAI is an enterprise-focused generative AI company on a mission to help large organizations move AI solutions from prototyping into production. We specialize in building safe, reliable, and scalable AI systems that deliver real business impact. We work at the cutting edge of AI technology, implementing agentic systems, RAG (Retrieval-Augmented Generation) architectures, and autonomous AI agents that scale from task automation to workforce automation. Our proprietary frameworks—including the EggAI Meta Framework for agentic systems and EggAI Quality Flow for governance—power AI transformations at enterprise scale. Based in Munich, Germany, we work with enterprise clients to build AI capability, deliver production-ready systems, and establish quality-controlled AI operations.