Jobs / esqLABS GmbH
Principal Platform Engineer, Agentic AI Infrastructure
esqLABS GmbH · Saterland, NI, Deutschland
Saterland, NI, DeutschlandExp: 5+ yrsRemote
Remuneration
Attractive remuneration package
Location
Saterland, NI, Deutschland
Visa sponsorship
Not specified
Job summary
Build and operate an agentic AI platform for regulated scientific modeling workflows, combining a deterministic compute core with policy-controlled AI agents and reproducible, metered, verifiable execution. The role covers tool orchestration, versioned APIs, continuous-integration evaluation, release engineering, and security controls for open-source pharmacometrics and systems pharmacology tools, including the OSP Suite. The platform must support reproducible execution across environments and deployments, including client-hosted and eventually offline installations.
Benefits
Home office policyAttractive remuneration packageRegular team gatherings across EuropeResponsibility and autonomyCareer development opportunities
Qualifications
- At least five years of platform, infrastructure, or backend engineering experience with senior ownership of a production system.
- Practical experience with reproducible builds, dependency pinning, artifact hashing, immutable versioning, and supply chain integrity.
- Strong Python skills and familiarity with R and scientific computing toolchains.
- Experience with containers and infrastructure as code.
- Experience with workflow or DAG runtimes and AI agent tool-calling systems.
- Experience designing external-consumer APIs, including versioning and deprecation.
- Experience securing multi-tenant systems, including isolation, secrets, and authorization.
- Awareness of risks in language-model-driven systems.
- Interest in gaining experience with GxP or equivalent regulated software.
- Production-grade DevOps experience with CI/CD, Kubernetes or an equivalent orchestrator, observability, and release management.
Responsibilities
- Build a deterministic scientific compute core with pinned toolchains and reproducibility tests.
- Develop the agent harness, including tool routing, policy enforcement, tenant-isolated execution, usage metering, and signed provenance.
- Provide a versioned API and shared tool contract for AI agents.
- Package runs so they can be re-executed outside the platform.
- Run continuous-integration evaluation, conformance, re-execution, and regression tests.
- Own release engineering, deployment environments, monitoring, and incident handling.
- Implement technical controls for information security and AI management standards.
Skills
KubernetesMakePythonDockerGitGitHub ActionsGrafanaLinuxOpenAPIPrometheusREST
Work schedule
Flexible work hours
Travel
Regular in-person team gatherings at locations across Europe
Industry
Pharmaceutical sciencesChemical industryLife sciencesScientific research
Relocation
No