Senior GenAI Engineer (Remote)
We are looking for a Senior GenAI Engineer to design and build advanced generative AI workflows that power our next-generation coverage analysis platform. You will architect complex, multi-step agentic systems using modern orchestration frameworks, transforming ambiguous business challenges into scalable, production-grade AI solutions. Operating at the intersection of system design and AI innovation, you will drive the technical evolution of how our platform leverages large language models.

What You ll Do
Architect GenAI Workflows Design end-to-end agentic systems using LangGraph, structuring complex problems into modular, composable steps and nodes.
Build Orchestration Layers Implement robust LLM orchestration with LiteLLM or similar tools, managing multi-model strategies, fallbacks, routing, and cost efficiency.
Data Structuring Validation Create reliable, typed data flows using Pydantic models across pipelines, APIs, and internal services.
Model Strategy Integration Evaluate and integrate multiple LLM providers (OpenAI, Claude, etc.),



optimizing for latency, cost, and output quality.
Observability Debugging Implement logging, tracing, and monitoring for AI systems using tools such as Langfuse or LangSmith.
Performance Optimization Improve prompt engineering, token usage, chunking strategies, and inference efficiency across the platform.
Cross-functional Collaboration Work closely with data scientists, AI engineers, and product teams to refine prompts, deploy systems, and shape new features.

Must-Have Experience
5+ years of Python development with strong software engineering fundamentals.
2+ years building production systems powered by Large Language Models.
Hands-on experience with LangGraph or similar agentic/orchestration frameworks (LangChain, etc.).
Deep expertise with Pydantic for structured data modeling and validation.
Strong understanding of LLM capabilities, limitations, prompt engineering, and evaluation methodologies.
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📌 Senior GenAI Engineer (España)
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📍 España