TL;DR
Forward Deployed Engineer (AI Engineering): Leading end-to-end deployments of AI models inside life sciences organizations and research institutions with an accent on translating real-world data, infrastructure, and constraints into production systems. Focus on evaluation benchmarks, audit trails, and traceable evidence in regulated contexts.
Location: Based in Munich, Germany. Hybrid work model of 3 days in the office per week. Relocation assistance offered. Travel up to 50% is required.
Company
hirify.global is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.
What you will do
- Design and ship production systems around models, owning integrations, data provenance, and reliability.
- Lead discovery and scoping, translating ambiguous workflow needs into problem framing and system requirements.
- Define and enforce launch criteria for regulated contexts, including validation evidence and audit readiness.
- Build in sensitive scientific data environments where auditability, validation, and access controls shape architecture.
- Run evaluation loops that measure model and system quality against scientific benchmarks.
- Distill deployment learnings into hardened primitives and reference architectures that scale across regulated life sciences environments.
Requirements
- Bring 5+ years of software/ML engineering or technical deployment experience with customer-facing ownership in biotech, pharma, clinical research, or scientific software.
- Have owned customer GenAI deployments end-to-end from scoping through production adoption.
- Have delivered AI systems in trial design, regulatory writing, or scientific operations.
- Communicate clearly across scientific, clinical, model research, technical, and executive audiences.
- Apply systems thinking with high execution standards, consistently turning failures and audit findings into improved operating standards.
Culture & Benefits
- Dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.
- Push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products.
- Value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
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