Senior AI / LLM Engineer (HealthTech)

About the Position

We are seeking a Senior AI / LLM Engineer (HealthTech) to join Opinov8. Our client is developing AI-powered capabilities for hearing care professionals, focusing on real-time transcription and automated documentation. This role involves building LLM capabilities for enterprise software used in audiology clinics and hospitals. The work is deployed in a regulated environment, requiring reliable production-ready features.

Responsibilities

• 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: manage latency, cost per request, caching, fallbacks, monitoring, and alerting.
• Build guardrails: prompt-injection defense, PII handling, output validation, and audit trails.
• Build shared building blocks that other product teams can reuse.
• Work with product teams and architects to choose the right tools.
• Work AI-first: use AI coding assistants like Claude / Claude Code in daily development.
• 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+) skills.
• 1-2+ years building LLM features that reached production and real users.
• Proficiency in retrieval techniques: chunking, embeddings, hybrid search, reranking, and honest measurement of result quality.
• Experience with agents and tool use: function calling, MCP or a similar tool protocol, multi-step flows with error handling.
• Evaluation discipline: experience building evaluation sets and using them to decide improvements.
• Cloud experience (Azure preferred) and solid engineering fundamentals (clean design, testing, CI/CD).
• Cost and latency awareness: understanding the cost per request and its impact.
• 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: ability to decide when a simple rule or a small classic model is better than an LLM.

Nice to Have

• Python for AI tooling, evaluation, and prototyping.
• Experience running open-source models on your own infrastructure (containers, GPU or CPU inference).
• Applied machine learning: forecasting, prediction, optimization.
• Azure AI Foundry, Azure AI Search, Azure ML.
• Experience working in regulated domains or with sensitive data (GDPR, ISO 27001 / ISO 42001).

We Offer

• Digital-First Approach: Work from anywhere in the world.
• Remote Work Model: Flexible working conditions to balance professional and personal life.
• Exciting Projects: Impactful projects across industries.
• Boost Your Expertise: Continuous learning, development opportunities, and hands-on experience.
• Join the Best Team Ever: Collaborate with a diverse and cross-cultural team of passionate technologists and creative thinkers.

About the Company

Opinov8 is a company that values talent without borders. We hire and collaborate with professionals worldwide, providing a remote work model that empowers employees to deliver their best from anywhere. Our focus on digital-first approaches and exciting projects makes us a great place to grow your career.

How’s the Hiring Process Going

We aim to make our hiring process smooth and transparent. Here’s what to expect:

• Initial Interview: If your background fits the role, we’ll invite you for an interview with a Talent Acquisition Specialist.
• Technical Interview: Depending on the position, you may complete a technical assessment or test task.
• Final Decision: After all steps, we’ll get back to you with the result and next steps.