11 annunci per il ruolo di application developer - roma, laz (recruiting in corso)

Lead AI Application Engineer (Infrastructure & LLMOps)
TechBiz Global GmbH —Roma, Lazio
- Tempo pieno
- Remoto
- Azure
- DevOps
- Database
Candidatura rapida
Senior/Middle Java Developer
I&M Consulting —Roma, Lazio
- 33.000 € - 40.000 € all'anno
- Tempo pieno
- Azure
- DevOps
- Java
Candidatura rapida
Senior Back-end Java Developer
NTT Data —Roma, Lazio
- DevOps
- Inglese
- Java
- Lavoro da casa
Senior Application Security Engineer
Pennylane SAS —Roma, Lazio
- Tempo pieno
- Remoto
- DevOps
- Inglese
- AWS
Candidatura rapida
9 giorni
Back-end Java Technical Leader
NTT Data —Roma, Lazio
- DevOps
- Inglese
- Java
- Lavoro da casa
Enterprise & IT Architect | CIO Advisory
KPMG —Roma, Lazio
- 31.000 € - 51.000 € all'anno
- Informatica
- Azure
- Gestionale
Cloud & Data Architect | CIO Advisory
KPMG —Roma, Lazio
- 31.000 € - 51.000 € all'anno
- Informatica
- Azure
- Gestionale
Cloud Engineer
moveax —Roma, Lazio
- 25.000 € - 55.000 € all'anno
- Tempo pieno
- Azure
- Gestionale
- DevOps
Candidatura rapida
Full Stack Developer - Categoria Protetta L.68/99
BIP - Business Integration Partners —Roma, Lazio
- Tempo pieno
- Remoto
- Oracle
- Inglese
- Java
- Assicurazione sanitaria
Senior Full Stack - Java Developer
Fincons Group —Roma, Lazio
- 35.000 € - 55.000 € all'anno
- Tempo pieno
- Inglese
- Java
- SQL
Candidatura rapida
17 ore
Senior Sales Engineer - Italy
Datadog —Roma, Lazio
- Azure
- Vendite
- AWS
Candidatura rapida

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Senior/Middle Java Developer
I&M Consulting —Roma, Lazio
La ricerca è rivolta sia a profili middle che senior. Esperienza consolidata (almeno 5 anni) nello sviluppo Enterprise in Java (con focus specifico sulle…
33.000 € - 40.000 € all'anno
Candidatura rapida

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Lead AI Application Engineer (Infrastructure & LLMOps)

TechBiz Global GmbH
Roma, Lazio

Candidatura rapida

Dettagli della posizione

Tempo pieno

Qualifiche

Azure
Rust
DevOps
NoSQL
Google Cloud Platform
Database
SQL
AWS
Docker
Laurea triennale
Terraform
Python

Descrizione completa della posizione

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.

Experience

8+ years in Platform Engineering, DevOps, or Site Reliability Engineering (SRE).
2+ years specifically focused on building AI/ML infrastructure or platforms.
Experience building Internal Developer Platforms (IDP) is a massive plus.

Candidatura rapida

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application developer offerte - roma, laz

Lead AI Application Engineer (Infrastructure & LLMOps)

Senior/Middle Java Developer

Senior Back-end Java Developer

Senior Application Security Engineer

Back-end Java Technical Leader

Enterprise & IT Architect | CIO Advisory

Cloud & Data Architect | CIO Advisory

Cloud Engineer

Full Stack Developer - Categoria Protetta L.68/99

Senior Full Stack - Java Developer

Senior Sales Engineer - Italy

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