Senior AI / LLM Engineer, HealthTech

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opinov8

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2017

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

opinov8 is a global digital and engineering solutions company specializing in custom software, cloud, and data services. Headquartered in London with development centers and remote teams across Ukraine, Egypt, Colombia, Portugal and the EU, opinov8 partners with businesses worldwide to accelerate digital transformation through custom engineering, cloud migrations, and data-driven solutions. The company operates as a remote-first B2B services provider serving clients across sectors such as finance, healthcare, logistics, and media.

📋 Description

• Build and ship LLM features: retrieval (RAG), agents, tool use, and structured output, integrated into our .NET services. • Own quality: build evaluation sets, measure before and after every change, and catch regressions before customers do. • Run it in production: latency, cost per request, caching, fallbacks, monitoring, and alerting. • Build guardrails: prompt-injection defence, PII handling, output validation, and audit trails. • Build shared building blocks that other product teams reuse, so the same problem is not solved five times. • Work with product teams and architects to choose the right tool. Sometimes a simple rule beats a model. Say so when it does. • Work AI-first: use Claude / Claude Code in daily development to design, build, and test faster. • Participate actively in a remote scrum team: sprint ceremonies, PR reviews, and knowledge sharing.

🎯 Requirements

• 5+ years building production software, with strong C# and modern .NET (.NET Core / .NET 6+) • 1-2+ years building LLM features that reached production and real users • Retrieval done properly: chunking, embeddings, hybrid search, reranking, and honest measurement of result quality • Agents and tool use: function calling, MCP or a similar tool protocol, multi-step flows with error handling • Evaluation discipline: you have built eval sets and used them to decide. You can explain how you knew a change was an improvement • Cloud experience (Azure preferred) and solid engineering fundamentals (clean design, testing, CI/CD) • Cost and latency awareness: you know what your features cost per request, and why • Hands-on experience developing with AI coding assistants (Claude / Claude Code, Copilot, or similar) • Comfort working autonomously in a remote, async-friendly team • Strong written and spoken English (B2+) • Pragmatism: in the interview we will ask for a case where you decided that a simple rule, or a small classic model, was the better answer than an LLM.

🏖️ Benefits

• Digital-First Approach: Great talent knows no borders! You can work from wherever you are — we hire and collaborate with professionals worldwide. • Remote Work Model: Balance your professional and personal life with our flexible working conditions, empowering you to deliver your best from anywhere. • Exciting Projects: Dive into impactful projects across industries that challenge and spark creativity. • Boost Your Expertise: Grow your career with continuous learning, development opportunities, and hands-on experience. • Join the Best Team Ever: Collaborate with our diverse and cross-cultural team of passionate technologists and creative thinkers.