12 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
Full Stack Developer - Java Angular junior/middle CONOSCENZA SUITE PASS MANDATORIA
Energent Spa —Roma, Lazio
- 25.000 € - 35.000 € all'anno
- Tempo pieno
- Java
- Database
- API
Candidatura rapida
Python Software Developer
ARESYS —Roma, Lazio
- Tempo pieno
- Informatica
- Laurea triennale
- Sviluppo software
Senior Back-end Java Developer
NTT Data —Roma, Lazio
- DevOps
- Inglese
- Java
- Lavoro da casa
Cloud & Data Architect | CIO Advisory
KPMG —Roma, Lazio
- 31.000 € - 51.000 € all'anno
- Informatica
- Azure
- Gestionale
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 Engineer
moveax —Roma, Lazio
- 25.000 € - 55.000 € all'anno
- Tempo pieno
- Azure
- Gestionale
- DevOps
Candidatura rapida
AWS Data Engineer
NTT Data —Roma, Lazio
- Azure
- Java
- AWS
Senior Consulting Engineer
MongoDB —Roma, Lazio
- Oracle
- Inglese
- Windows
- Congedo parentale
Sector Sales Representative - BS&C
Aggreko —Roma, Lazio
- 52.000 € - 60.000 € all'anno
- Tempo pieno
- Vendite
- Business development
16 ore
Senior Sales Engineer - Italy
Datadog —Roma, Lazio
- Azure
- Vendite
- AWS
Candidatura rapida

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Full Stack Developer - Java Angular junior/middle CONOSCENZA SUITE PASS MANDATORIA
Energent Spa —Roma, Lazio
Esperienza su piattaforma PASS, sia su progetti che su Application Maintenance. Full Stack Developer Java/Angular livello Junior/Middle con esperienza su…
25.000 € - 35.000 € 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)

Full Stack Developer - Java Angular junior/middle CONOSCENZA SUITE PASS MANDATORIA

Python Software Developer

Senior Back-end Java Developer

Cloud & Data Architect | CIO Advisory

Back-end Java Technical Leader

Enterprise & IT Architect | CIO Advisory

Cloud Engineer

AWS Data Engineer

Senior Consulting Engineer

Sector Sales Representative - BS&C

Senior Sales Engineer - Italy

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