Ai/ml engineer

RemoteJobsOne; Roma; In loco; EUR 176.000 - 308.000; Tempo pieno

Descrizione del lavoro

RemoteJobsOne cerca un AI/ML Engineer a Roma per guidare sistemi basati su LLMs, RAG e orchestrazione multi‑agent in progetti governativi ad alto rendimento. Trasformerai modelli in produzione, integrando API e SDK e distribuendo soluzioni su cloud sicuri.

La funzione prevede lavoro su pipeline dati, conformità di sicurezza e collaborazioni con team di prodotto, sicurezza ed engineering per consegna affidabile e CI/CD. Opportunità di crescita in un contesto tecnologico avanzato.

Competenze

• Competenza in Python per lo sviluppo AI/ML e REST API.
• Esperienza pratica con LLMs, sistemi RAG e prompt engineering.
• Conoscenza di orchestrazione multi-agent e framework come LangGraph e LangChain.
• Familiarità con servizi AI cloud (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, Bedrock).
• Abilità nell’ELT e gestione di pipeline dati, metadati e ontologie.
• Buone pratiche di coding sicuro e principi DevOps (CI/CD).
• Ottime capacità di comunicazione scritta e parlata per collaborare efficacemente.

Mansioni

• Progetta, implementa e ottimizza modelli AI/ML con LLMs e RAG per applicazioni production.
• Orchestrare sistemi multi-agent usando LangGraph/LangChain.
• Distribuire soluzioni su ambienti cloud sicuri (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, Bedrock).
• Costruire pipeline dati robuste, ETL, e cataloghi di metadati per training/inferenza.
• Creare/gestire REST API e integrazioni SDK per interfacciarsi con dati e modelli.
• Collaborare con product/security/engineering per consegna sicura e CI/CD.
• Documentare decisioni tecniche e semplificare concetti complessi per stakeholder.

Conoscenze

Python

REST APIs

SDK integration

LLMs & RAG

LangGraph/LangChain

Cloud AI services

ETL pipelines

Secure coding

CI/CD

Comunicazione

Strumenti

LangGraph

LangChain

AWS GovCloud

Vertex AI

Bedrock

Descrizione del lavoro

Luogo di lavoro: Roma

Pay: $200,000-$350,000/yr

Job Title: AI/ML Engineer

Job Type: Full-Time

About Us:

the company is the end-to-end human data infrastructure behind AGI. Our AI recruiter model is used by frontier AI labs and Fortune 10s to source, vet, and deploy PhDs and professors from the world's top universities at scale. These experts are placed directly into the training loops of the most advanced AI systems, powering the breakthroughs that move models forward. Our data platform converts their expertise into high-signal training datasets, and our talent management tooling measures, routes, and improves performance at scale.

Job Summary

Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to the company's proprietary AI infrastructure, you'll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You'll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling.

Key Responsibilities

• Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications.
• Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.
• Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
• Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference.
• Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions.
• Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD).
• Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders.

Required Skills and Qualifications

• Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration.
• Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments.
• Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain.
• Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).
• Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes.
• Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines).
• Exceptional written and verbal communication skills for effective collaboration and documentation.

Preferred Qualifications

• Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
• Knowledge of metadata catalog platforms (MCP) and advanced API development techniques.
• Prior exposure to government or highly regulated cloud environments and compliance standards.