Senior Artificial Intelligence/Machine Learning Engineer (AI/ML)

TL;DR

Senior Artificial Intelligence/Machine Learning Engineer (AI/ML): Architect and build multi-agent AI system supporting R&D innovation for consumer healthcare product line with an accent on orchestration architecture, knowledge graphs, data pipelines, and LLM integration. Focus on implementing reliability techniques, Azure deployment, and partnering with domain experts on validation testing.

Location: PL-Remote (Poland)

Company

Custom product engineering company supporting multinational organizations and scaling startups with a global team of over 4,000 professionals.

What you will do

• Design and implement multi-agent orchestration architecture end-to-end
• Build knowledge graph and data pipelines across 13 MVP-critical data sources
• Integrate and prompt-engineer LLMs via Azure OpenAI with reliability techniques like Best-of-N, self-reflection, and confidence gating
• Deploy on Azure: AKS/Azure Functions, Cosmos DB/Azure SQL, Blob Storage, Entra ID SSO, App Insights
• Partner with domain SMEs on UAT, back-testing, and sensitivity testing

Requirements

• Strong production experience with multi-agent or agentic LLM systems (orchestration, tool use, RAG)
• Hands-on Azure stack: Azure OpenAI, AKS, Cosmos DB/Azure SQL, Blob Storage, Entra ID
• Knowledge graph design and data pipeline engineering (Python)
• Proven track record with hallucination mitigation, evaluation harnesses, confidence scoring
• Comfortable working with non-technical domain experts and running technical validation cycles
• Senior, autonomous, delivery-focused: own architecture and ship production-grade system in 16-week window

Nice to have

• Prior R&D, CPG, or regulated-industry deployments
• Experience with Monte Carlo/NumPy simulation sandboxes
• Background in patent/regulatory-aware AI workflows

Culture & Benefits

• Strong community with top professionals in friendly, open-door environment
• Growth focus on large-scale projects, internal events, Udemy, language courses, certifications
• Endless opportunities via internal mobility and diverse domains
• Flexibility: full remote working possibilities
• Company-paid medical insurance, mental health support, financial & legal consultations