Jobs / T-Mobile
Lead AI Platform Engineer (m/f/d)
T-Mobile · A Coruña, GA, Spain
A Coruña, GA, SpainExp: 7+ yrsHybrid
Remuneration
Flexible compensation plan, health and life insurance, telemedicine, social fund, and 26+ vacation days
Location
A Coruña, GA, Spain
Visa sponsorship
Not specified
Job summary
Lead the design, development, and operation of a production-grade platform for autonomous AI agents, including model serving, tool-calling, and state management. Build low-latency inference services on GPU/TPU clusters, Kubernetes and Knative autoscaling, and CI/CD and MLOps pipelines; strengthen platform reliability, observability, and security while enabling teams and partners to integrate through SDKs and CLI tools.
Benefits
Hybrid workFlexible working hours26+ vacation daysFlexible compensation plan covering health insurance, meal vouchers, childcare,Life and accident insuranceTelemedicineSocial fund100% salary coverage during medical leaveAccess to medical, legal, and wellness servicesCoursera trainingWeekly English, Spanish, and German classesInternational mentoring sessions and experience daysSocial initiatives
Qualifications
- At least 7 years of software engineering experience
- At least 4 years building large-scale distributed systems
- Proficiency in Go or Rust and Python
- Experience with Kubernetes, Docker, and Helm
- Hands-on experience with model-serving frameworks such as Triton, vLLM, or TensorFlow Serving
- Experience with GPU/TPU workloads
- Experience with event-streaming platforms such as Kafka or Pulsar
- Experience with infrastructure-as-code tools such as Terraform or Pulumi
- Knowledge of LLMs, retrieval-augmented generation, and tool-use APIs
- Observability experience with Prometheus, Grafana, and OpenTelemetry
- Security experience including IAM and Vault
- Strong debugging and communication skills
- Commitment to reliable, production-grade code
- Preferred: experience with serverless runtimes, vector databases, or agent frameworks
- Preferred: open-source contributions in AI/ML infrastructure
Responsibilities
- Design and own a platform for building, deploying, and running autonomous AI agents, including model serving, tool-calling, and state management
- Build high-throughput, low-latency inference services on GPU/TPU clusters and implement autoscaling with Kubernetes and Knative
- Create CI/CD and MLOps pipelines for model versioning, canary releases, and rollback
- Define SLOs and SLIs, establish monitoring with Prometheus and OpenTelemetry, and lead incident response
- Implement security controls for IAM, sandboxed execution, and data residency
- Develop SDKs, CLI tools, and documentation for internal teams and external partners
- Mentor junior engineers and promote code standards
Skills
DockerGoGrafanaHelmIAMKafkaKnativeKubernetesOpenTelemetryPrometheusPulsarPulumiPythonRustTerraformVaultCloud FunctionsCloud RunAWS Lambda
Degrees
Ph.D. in Computer Science or a related fieldM.S. in Computer Science or a related field
Languages
GoRustPythonEnglishSpanishGerman
Work schedule
Flexible working hours
Industry
AutomotiveHealthcarePublic servicesAI infrastructure
Relocation
No