TechBiz Global GmbH
Lead AI Application Engineer (Infrastructure & LLMOps)
Remote work allowed only within certain countries or regions.
Employer listed it 3 months ago · Found 5h ago
Been open since 3 months ago. Long-running listings are sometimes left up after the role is filled.
Salary
Not stated
Location
Timezone
Not stated
Contract
Full-time
Experience
Lead
Category
Software
This employer didn't state pay. Jobs like this usually pay around $200k–$275k a year, a typical range taken from 597 lead-level software roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Region Restricted
Remote work is allowed, but only for candidates based in Spain, Italy, Hungary, Poland.
What the employer says
- Source listing states candidate location: "Remote job, Barcelona, Spain, Madrid, Tenerife, Bolzano, Rome, Budapest, Miskolc, Petten, Krakow"
What Nomaders makes of it
- Applications outside the listed area are usually rejected
- Timezone overlap with the listed area is often expected
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio.
We are currently looking for a dedicated Lead AI Aplication Engineer to join one of our clients' teams . If you're looking for an exciting opportunity to grow in an innovative environment, this could be the perfect fit for you.
Key Responsibilities:
Build & Run the Shared AI Platform
Architect and maintain a multi-tenant AI Platform that supports the full ML lifecycle across cloud and on-premises environments.
Ensure high availability, low latency, and cost-efficiency for all shared AI resources.
Implement LLMOps/MLOps best practices, including automated deployment pipelines for models.
2. Curate the AI Services Catalogue
Develop and expose "as-a-service" capabilities: Inference-as-a-Service, Embeddings-as-a-Service, and RAG-as-a-Service.
Standardize how squads interact with LLMs, providing unified APIs and abstraction layers to prevent vendor lock-in.
3. Manage AI Data Infrastructure
Own the deployment and scaling of Vector Databases (e.g., Pinecone, Milvus, Weaviate) and Feature Stores (e.g., Feast, Tecton, Hopsworks).
Optimize data retrieval patterns to support real-time AI applications and agentic workflows.
Oversee Model Hosting environments, utilizing Kubernetes (K8s) and GPU orchestration to manage compute resources efficiently.
4. Enable Developer Self-Service
Build and maintain a Self-Service Portal or CLI that allows product squads to provision AI environments, models, and data stores independently.
Reduce "Time-to-Inference" for new features by providing pre-configured templates and blueprints.
Conduct internal workshops and provide documentation to empower squads to use the platform effectively.
Must-Have Technical Skills
Infrastructure: Deep experience with Kubernetes (K8s), Docker, and Terraform/Pulumi.
Hybrid Cloud: Proven experience managing workloads across AWS/Azure/GCP and On-Premises (NVIDIA AI Enterprise, OpenShift).
AI/ML Tooling: Hands-on experience with vLLM, TGI (Text Generation Inference), or NVIDIA Triton for model serving.
Databases: Expertise in Vector DBs and traditional SQL/NoSQL databases.
Languages: High proficiency in Python and Go or Rust for platform tooling.
Requirements
- ·Infrastructure: Deep experience with Kubernetes (K8s), Docker, and Terraform/Pulumi.
- ·Hybrid Cloud: Proven experience managing workloads across AWS/Azure/GCP and On-Premises (NVIDIA AI Enterprise, OpenShift).
- ·AI/ML Tooling: Hands-on experience with vLLM, TGI (Text Generation Inference), or NVIDIA Triton for model serving.
- ·Databases: Expertise in Vector DBs and traditional SQL/NoSQL databases.
- ·Languages: High proficiency in Python and Go or Rust for platform tooling.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, region restricted, matches where you plan to live and work.
- 2Tailor your CV to the role at TechBiz Global GmbH, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 6h ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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